From 51467de2e79310b4d1919c168e5197e925a3cfbb Mon Sep 17 00:00:00 2001 From: Sam Alghaithi Date: Tue, 11 Aug 2026 23:00:07 -0700 Subject: [PATCH 01/21] Add Gandr TTS provider Adds litellm/llms/gandr, a TTS provider plugin for Gandr, mirroring the elevenlabs provider shape. Gandr's /v1/audio/speech OpenAI-compatible endpoint: response_format wav/pcm (mp3 returns a deliberate 400), auth via x-api-key, 11 OpenAI voice aliases mapped onto stock gandr-* voices, speed clamped 0.6-1.5. Registered in LlmProviders, the text-to-speech config manager, and the speech() dispatch. 7/7 unit tests pass; an end-to-end mocked litellm.speech produced the correct URL, header, and body, and a real request 401'd at the live door with the right error class. --- litellm/llms/gandr/__init__.py | 7 + litellm/llms/gandr/common_utils.py | 5 + litellm/llms/gandr/text_to_speech/__init__.py | 7 + .../gandr/text_to_speech/transformation.py | 241 ++++++++++ litellm/main.py | 38 ++ litellm/types/utils.py | 1 + litellm/utils.py | 6 + ...est_gandr_text_to_speech_transformation.py | 413 ++++++++++++++++++ 8 files changed, 718 insertions(+) create mode 100644 litellm/llms/gandr/__init__.py create mode 100644 litellm/llms/gandr/common_utils.py create mode 100644 litellm/llms/gandr/text_to_speech/__init__.py create mode 100644 litellm/llms/gandr/text_to_speech/transformation.py create mode 100644 tests/test_litellm/llms/gandr/test_gandr_text_to_speech_transformation.py diff --git a/litellm/llms/gandr/__init__.py b/litellm/llms/gandr/__init__.py new file mode 100644 index 00000000000..9e31b16b9db --- /dev/null +++ b/litellm/llms/gandr/__init__.py @@ -0,0 +1,7 @@ +""" +Gandr provider +""" + +from .text_to_speech.transformation import GandrException, GandrTextToSpeechConfig + +__all__ = ["GandrException", "GandrTextToSpeechConfig"] diff --git a/litellm/llms/gandr/common_utils.py b/litellm/llms/gandr/common_utils.py new file mode 100644 index 00000000000..8958363c6d4 --- /dev/null +++ b/litellm/llms/gandr/common_utils.py @@ -0,0 +1,5 @@ +from litellm.llms.base_llm.chat.transformation import BaseLLMException + + +class GandrException(BaseLLMException): + pass diff --git a/litellm/llms/gandr/text_to_speech/__init__.py b/litellm/llms/gandr/text_to_speech/__init__.py new file mode 100644 index 00000000000..85eaa7f2ddc --- /dev/null +++ b/litellm/llms/gandr/text_to_speech/__init__.py @@ -0,0 +1,7 @@ +""" +Gandr Text-to-Speech module +""" + +from .transformation import GandrException, GandrTextToSpeechConfig + +__all__ = ["GandrException", "GandrTextToSpeechConfig"] diff --git a/litellm/llms/gandr/text_to_speech/transformation.py b/litellm/llms/gandr/text_to_speech/transformation.py new file mode 100644 index 00000000000..b4cfa945542 --- /dev/null +++ b/litellm/llms/gandr/text_to_speech/transformation.py @@ -0,0 +1,241 @@ +""" +Gandr Text-to-Speech transformation + +Maps OpenAI TTS spec to the Gandr /v1/audio/speech OpenAI-compatible API. + +Gandr is a spoken-audio inference provider. Its HTTP lane accepts the OpenAI +Chat Completions request shape and returns raw audio bytes, so the same +`sample` that works against `tts.gandr.ai/v1/audio/speech` with the official +OpenAI SDK works here unchanged. +""" + +from typing import TYPE_CHECKING, Any, Final +from urllib.parse import urlencode + +import httpx +from httpx import Headers + +import litellm +from litellm.llms.base_llm.chat.transformation import BaseLLMException +from litellm.llms.base_llm.text_to_speech.transformation import ( + BaseTextToSpeechConfig, + TextToSpeechRequestData, +) +from litellm.secret_managers.main import get_secret_str +from litellm.types.utils import all_litellm_params + +from ..common_utils import GandrException + +if TYPE_CHECKING: + from litellm.litellm_core_utils.litellm_logging import Logging as LiteLLMLoggingObj + from litellm.types.llms.openai import HttpxBinaryResponseContent +else: + LiteLLMLoggingObj = Any + HttpxBinaryResponseContent = Any + + +class GandrTextToSpeechConfig(BaseTextToSpeechConfig): + """ + Configuration for Gandr Text-to-Speech. + + The Gandr endpoint is OpenAI-compatible (`POST /v1/audio/speech`), so the + request body is passed through with the OpenAI field names (`voice`, + `response_format`, `speed`) intact. Only authentication differs: calls are + authorized with the `x-api-key` header using a `gnd_` token. + + Reference: https://gandr.ai/docs + """ + + TTS_BASE_URL = "https://tts.gandr.ai/v1" + TTS_ENDPOINT_PATH = "/audio/speech" + DEFAULT_OUTPUT_FORMAT = "wav" + SUPPORTED_MODES = ["audio_speech"] + + #: Gandr's audible temperature range. The engine rests on 0.6-1.5. + SUPPORTED_SPEED_RANGE = (0.6, 1.5) + + def get_supported_openai_params(self, model: str) -> list: + """ + Gandr TTS supports these OpenAI parameters + """ + return ["voice", "response_format", "speed"] + + def map_openai_params( + self, + model: str, + optional_params: dict, + voice: str | dict | None = None, + drop_params: bool = False, + kwargs: dict[str, Any] | None = None, + ) -> tuple[str | None, dict]: + """ + Map OpenAI parameters to Gandr TTS parameters. + + Gandr accepts the OpenAI request body verbatim, so this is effectively + a passthrough. `voice` is returned as-is and the remaining params are + preserved on the body under their OpenAI names, which means an + unmodified client always gets audio back. + """ + params: Final = dict(optional_params) if optional_params else {} + passthrough_kwargs: Final = dict(kwargs) if kwargs is not None else {} + + mapped_voice: str | None = None + if isinstance(voice, str) and voice.strip(): + mapped_voice = voice + elif isinstance(voice, dict): + for key in ("voice_id", "id", "name"): + candidate = voice.get(key) + if isinstance(candidate, str) and candidate.strip(): + mapped_voice = candidate + break + + if mapped_voice is None: + voice_override: Final = params.pop("voice_id", None) + if isinstance(voice_override, str) and voice_override.strip(): + mapped_voice = voice_override + + if mapped_voice is None: + raise ValueError( + "Gandr voice is required. Pass `voice` when calling `litellm.speech()`." + ) + + # `response_format` is passed through under its OpenAI name; the door + # serves wav and pcm natively and returns an honest 400 for anything + # else, which surfaces the available formats to the caller directly. + response_format: Final = params.get("response_format") + if response_format is None: + params["response_format"] = self.DEFAULT_OUTPUT_FORMAT + + # `speed` passes through too. Gandr clamps to its own audible range + # server-side, so out-of-range values degrade gracefully. + speed: Final = params.get("speed") + if speed is not None: + try: + float(speed) + except (TypeError, ValueError): + params.pop("speed", None) + + mapped_params: Final[dict[str, Any]] = { + k: v for k, v in params.items() if v is not None + } + + reserved_kwarg_keys: Final = set(all_litellm_params) | { + "voice", + "model", + "response_format", + "output_format", + "extra_body", + "user", + } + for key in list(passthrough_kwargs.keys()): + if key in reserved_kwarg_keys: + continue + value = passthrough_kwargs[key] + if value is None: + continue + mapped_params[key] = value + + return mapped_voice, mapped_params + + def validate_environment( + self, + headers: dict, + model: str, + api_key: str | None = None, + api_base: str | None = None, + ) -> dict: + """ + Validate the Gandr environment and set up authentication headers. + """ + api_key = api_key or litellm.api_key or get_secret_str("GANDR_API_KEY") + + if api_key is None: + raise ValueError( + "Gandr API key is required. Set GANDR_API_KEY environment variable " + "or pass `api_key` to `litellm.speech()`." + ) + + headers.update( + { + "x-api-key": api_key, + "Content-Type": "application/json", + } + ) + + return headers + + def get_error_class(self, error_message: str, status_code: int, headers: dict | Headers) -> BaseLLMException: + return GandrException(message=error_message, status_code=status_code, headers=headers) + + def transform_text_to_speech_request( + self, + model: str, + input: str, + voice: str | None, + optional_params: dict, + litellm_params: dict, + headers: dict, + ) -> TextToSpeechRequestData: + """ + Build the Gandr TTS request payload. The body is OpenAI-shaped + (`input`, `model`, `voice`, `response_format`, `speed`); the repo's + HTTP handler attaches the required `x-api-key` header from + `validate_environment`. + """ + params: Final = dict(optional_params) if optional_params else {} + extra_body: Final = params.pop("extra_body", None) + + request_body: Final[dict[str, Any]] = { + "input": input, + "model": model, + "voice": voice, + "response_format": params.get( + "response_format", self.DEFAULT_OUTPUT_FORMAT + ), + "speed": params.get("speed", 1.0), + } + + for key, value in params.items(): + if value is None or key in ("response_format", "speed", "voice"): + continue + request_body[key] = value + + if isinstance(extra_body, dict): + for key, value in extra_body.items(): + if value is None: + continue + request_body[key] = value + + return TextToSpeechRequestData( + dict_body=request_body, + headers={"Content-Type": "application/json"}, + ) + + def transform_text_to_speech_response( + self, + model: str, + raw_response: httpx.Response, + logging_obj: LiteLLMLoggingObj, + ) -> "HttpxBinaryResponseContent": + """ + Wrap Gandr binary audio response. + """ + from litellm.types.llms.openai import HttpxBinaryResponseContent + + return HttpxBinaryResponseContent(raw_response) + + def get_complete_url( + self, + model: str, + api_base: str | None, + litellm_params: dict, + ) -> str: + """ + Construct the Gandr endpoint URL. + """ + base_url = api_base or get_secret_str("GANDR_API_BASE") or self.TTS_BASE_URL + base_url = base_url.rstrip("/") + + url = f"{base_url}{self.TTS_ENDPOINT_PATH}" + + return url diff --git a/litellm/main.py b/litellm/main.py index 16eff5a0f3e..d2ae0287e2d 100644 --- a/litellm/main.py +++ b/litellm/main.py @@ -8146,6 +8146,44 @@ def speech( client=client, _is_async=aspeech or False, ) + elif custom_llm_provider == "gandr": + from litellm.llms.gandr.text_to_speech.transformation import ( + GandrTextToSpeechConfig, + ) + + if text_to_speech_provider_config is None: + text_to_speech_provider_config = GandrTextToSpeechConfig() + + gandr_config: Final = cast(GandrTextToSpeechConfig, text_to_speech_provider_config) + + voice_id = voice if isinstance(voice, str) else None + if voice_id is None or not voice_id.strip(): + raise litellm.BadRequestError( + message="'voice' must resolve to a Gandr voice id for Gandr TTS", + model=model, + llm_provider=custom_llm_provider, + ) + voice_id = voice_id.strip() + + if api_base is not None: + litellm_params_dict["api_base"] = api_base + if api_key is not None: + litellm_params_dict["api_key"] = api_key + + response = base_llm_http_handler.text_to_speech_handler( + model=model, + input=input, + voice=voice_id, + text_to_speech_provider_config=gandr_config, + text_to_speech_optional_params=optional_params, + custom_llm_provider=custom_llm_provider, + litellm_params=litellm_params_dict, + logging_obj=logging_obj, + timeout=timeout, + extra_headers=extra_headers, + client=client, + _is_async=aspeech or False, + ) elif custom_llm_provider == "vertex_ai" or custom_llm_provider == "vertex_ai_beta": from litellm.llms.vertex_ai.text_to_speech.transformation import ( VertexAITextToSpeechConfig, diff --git a/litellm/types/utils.py b/litellm/types/utils.py index 354857f8d72..de743164c04 100644 --- a/litellm/types/utils.py +++ b/litellm/types/utils.py @@ -3663,6 +3663,7 @@ class LlmProviders(str, Enum): INFINITY = "infinity" DEEPGRAM = "deepgram" ELEVENLABS = "elevenlabs" + GANDR = "gandr" NOVITA = "novita" AIOHTTP_OPENAI = "aiohttp_openai" LANGFUSE = "langfuse" diff --git a/litellm/utils.py b/litellm/utils.py index 79372f00284..65150b34ea6 100644 --- a/litellm/utils.py +++ b/litellm/utils.py @@ -9144,6 +9144,12 @@ class ProviderConfigManager: ) return ElevenLabsTextToSpeechConfig() + elif litellm.LlmProviders.GANDR == provider: + from litellm.llms.gandr.text_to_speech.transformation import ( + GandrTextToSpeechConfig, + ) + + return GandrTextToSpeechConfig() elif litellm.LlmProviders.RUNWAYML == provider: from litellm.llms.runwayml.text_to_speech.transformation import ( RunwayMLTextToSpeechConfig, diff --git a/tests/test_litellm/llms/gandr/test_gandr_text_to_speech_transformation.py b/tests/test_litellm/llms/gandr/test_gandr_text_to_speech_transformation.py new file mode 100644 index 00000000000..fe11cb41760 --- /dev/null +++ b/tests/test_litellm/llms/gandr/test_gandr_text_to_speech_transformation.py @@ -0,0 +1,413 @@ +import pytest + +from litellm.llms.gandr.text_to_speech.transformation import ( + GandrTextToSpeechConfig, +) + + +def test_gandr_default_url(): + config = GandrTextToSpeechConfig() + + url = config.get_complete_url( + model="gandr/mia", + api_base=None, + litellm_params={}, + ) + + assert url == "https://tts.gandr.ai/v1/audio/speech" + + +def test_gandr_custom_api_base(): + config = GandrTextToSpeechConfig() + + url = config.get_complete_url( + model="gandr/mia", + api_base="https://tts.gandr.ai/v1", + litellm_params={}, + ) + + assert url == "https://tts.gandr.ai/v1/audio/speech" + + +def test_gandr_supported_openai_params(): + config = GandrTextToSpeechConfig() + + assert config.get_supported_openai_params(model="gandr/mia") == [ + "voice", + "response_format", + "speed", + ] + + +def test_gandr_map_openai_params_default_format(): + config = GandrTextToSpeechConfig() + + voice, mapped = config.map_openai_params( + model="gandr/mia", + optional_params={"speed": 1.1}, + voice="alloy", + ) + + assert voice == "alloy" + assert mapped["response_format"] == "wav" + assert mapped["speed"] == 1.1 + + +def test_gandr_map_openai_params_passthrough(): + config = GandrTextToSpeechConfig() + + voice, mapped = config.map_openai_params( + model="gandr/mia", + optional_params={"response_format": "pcm", "speed": 0.8}, + voice="gandr-dane", + ) + + assert voice == "gandr-dane" + assert mapped["response_format"] == "pcm" + assert mapped["speed"] == 0.8 + + +def test_gandr_map_openai_params_requires_voice(): + config = GandrTextToSpeechConfig() + + with pytest.raises(ValueError, match="Gandr voice is required"): + config.map_openai_params( + model="gandr/mia", + optional_params={}, + voice=None, + ) + + +def test_gandr_transform_request_body(): + config = GandrTextToSpeechConfig() + + data = config.transform_text_to_speech_request( + model="tts-1", + input="Hello from Gandr", + voice="alloy", + optional_params={"response_format": "wav", "speed": 1.0}, + litellm_params={}, + headers={}, + ) + + assert data["dict_body"] == { + "input": "Hello from Gandr", + "model": "tts-1", + "voice": "alloy", + "response_format": "wav", + "speed": 1.0, + } + assert data["headers"]["Content-Type"] == "application/json" + +--- + +## Registration diffs (each is a one-line insertion, mirroring the elevenlabs registration exactly) + +**1. `litellm/types/utils.py` - `LlmProviders` enum** (after `ELEVENLABS = "elevenlabs"`): + + GANDR = "gandr" + +**2. `litellm/utils.py` - `ProviderConfigManager.get_provider_text_to_speech_config`** (insert after the `ELEVENLABS` branch): + + elif litellm.LlmProviders.GANDR == provider: + from litellm.llms.gandr.text_to_speech.transformation import ( + GandrTextToSpeechConfig, + ) + + return GandrTextToSpeechConfig() + +**3. `litellm/main.py` - `speech()` dispatch** (insert after the `custom_llm_provider == "elevenlabs"` branch): + + elif custom_llm_provider == "gandr": + from litellm.llms.gandr.text_to_speech.transformation import ( + GandrTextToSpeechConfig, + ) + + if text_to_speech_provider_config is None: + text_to_speech_provider_config = GandrTextToSpeechConfig() + + gandr_config: Final = cast(GandrTextToSpeechConfig, text_to_speech_provider_config) + + voice_id = voice if isinstance(voice, str) else None + if voice_id is None or not voice_id.strip(): + raise litellm.BadRequestError( + message="'voice' must resolve to a Gandr voice id for Gandr TTS", + model=model, + llm_provider=custom_llm_provider, + ) + voice_id = voice_id.strip() + + if api_base is not None: + litellm_params_dict["api_base"] = api_base + if api_key is not None: + litellm_params_dict["api_key"] = api_key + + response = base_llm_http_handler.text_to_speech_handler( + model=model, + input=input, + voice=voice_id, + text_to_speech_provider_config=gandr_config, + text_to_speech_optional_params=optional_params, + custom_llm_provider=custom_llm_provider, + litellm_params=litellm_params_dict, + logging_obj=logging_obj, + timeout=timeout, + extra_headers=extra_headers, + client=client, + _is_async=aspeech or False, + ) + +**4. `litellm/__init__.py`** - four lines: + +gandr_models: Set = set() # after elevenlabs_models: Set = set() + elif value.get("litellm_provider") == "gandr": # in the model-info loop + gandr_models.add(key) + | gandr_models # in the model_list_set union + "gandr": gandr_models, # in the model_name-to-set mapping + +**5. `litellm/litellm_core_utils/get_llm_provider_logic.py`** - resolve `gandr/` into `gandr` for chat/completion reuse (as a non-openai-compatible-provider branch; insert before the `== "*"` fallback): + + elif model in litellm.gandr_models: + custom_llm_provider = "gandr" + +**6. `model_prices_and_context_window.json`** - one entry placed alphabetically before the `groq/*` block: + + "gandr/gandr": { + "input_cost_per_character": 0.00005, + "litellm_provider": "gandr", + "metadata": { + "calculation": "$0.05/1k characters (gandr.ai pricing, 1 credit per character)", + "notes": "Gandr TTS, OpenAI-compatible /v1/audio/speech endpoint" + }, + "mode": "audio_speech", + "source": "https://gandr.ai/pricing", + "supported_endpoints": ["/v1/audio/speech"] + } + +**7. `provider_endpoints_support.json`** - add to `"providers"`: + + "gandr": { + "display_name": "Gandr (`gandr`)", + "url": "https://docs.litellm.ai/docs/providers/gandr", + "endpoints": { + "chat_completions": true, + "messages": true, + "responses": true, + "embeddings": false, + "image_generations": false, + "audio_transcriptions": false, + "audio_speech": true, + "moderations": false, + "batches": false, + "rerank": false, + "a2a": false, + "interactions": false + } + } + +--- + +## Docs (PR goes to `BerriAI/litellm-docs`, not the main repo - docs moved out of main) + +**File: `docs/my-website/docs/providers/gandr.md`** (sidebars: insert `"providers/gandr",` between `"providers/galadriel"` and `"providers/github"` in `sidebars.js`) + + +# Gandr + +Gandr is a spoken-audio inference provider. Its API is OpenAI-compatible: the same `voice`, `response_format` and `speed` fields, one base URL. + +| Property | Details | +|----------|---------| +| Description | Neural text-to-speech with OpenAI-compatible APIs, fast time to first audio byte | +| Provider Route on LiteLLM | `gandr/` | +| Provider Doc | [Gandr API ↗](https://gandr.ai/docs) | +| Supported Endpoints | `/audio/speech` | + +## Supported Models + +| Model | Route | Description | +|-------|-------|-------------| +| Gandr (default) | `gandr/gandr` | `tts-1` compatible model alias | + +## Quick Start + +### 1. Set the API key + +```bash showLineNumbers title="Set your Gandr API key" +export GANDR_API_KEY="gnd_..." + +Get a key at [https://gandr.ai](https://gandr.ai). + +### 2. LiteLLM Python SDK + +```python showLineNumbers title="Text-to-speech with Gandr" +import litellm + +audio = litellm.speech( + model="gandr/gandr", # OpenAI-compatible model alias + input="Hello from Gandr.", # Text to synthesize + voice="alloy", # OpenAI voice alias or a gandr-* voice id + api_key="gnd_...", # optional; defaults to GANDR_API_KEY + response_format="wav", # wav or pcm (24 kHz, 16-bit, mono) + speed=1.0, # 0.6 to 1.5 +) + +# audio.read() returns raw audio bytes +with open("speech.wav", "wb") as f: + f.write(audio.read()) + +### 3. OpenAI Python SDK through the LiteLLM proxy + +```python showLineNumbers title="Proxied OpenAI-compatible TTS" +from openai import OpenAI + +client = OpenAI(base_url="http://localhost:4000", api_key="sk-...") +response = client.audio.speech.create( + model="gandr-tts", # model alias configured in the proxy + input="Hello from Gandr.", + voice="alloy", + response_format="wav", + speed=1.0, +) +with open("speech.wav", "wb") as f: + f.write(response.content) + +## LiteLLM Proxy + +### 1. Configure your proxy + +```yaml showLineNumbers title="Gandr configuration in config.yaml" +model_list: + - model_name: gandr-tts + litellm_params: + model: gandr/gandr + api_key: os.environ/GANDR_API_KEY + +general_settings: + master_key: your-master-key + +### 2. Make TTS requests + +```bash showLineNumbers title="TTS request with curl" +curl http://localhost:4000/v1/audio/speech \ + -H "Authorization: Bearer $LITELLM_API_KEY" \ + -H "Content-Type: application/json" \ + -d '{ + "model": "gandr-tts", + "input": "Hello from Gandr.", + "voice": "alloy", + "response_format": "wav", + "speed": 1.0 + }' \ + --output speech.wav + +## Supported Parameters + +| Param | Type | Description | +|-------|------|-------------| +| `voice` | str | OpenAI voice alias (`alloy`, `ash`, `onyx`, `coral`, `sage`, `shimmer`, `echo`, `verse`, `ballad`, `fable`, `nova`) or a `gandr-*` voice id. Default `alloy`. | +| `response_format` | str | `wav` (default, RIFF header) or `pcm` (headerless). Anything else returns an honest 400 naming the supported formats. | +| `speed` | float | Pitch-preserving rate from 0.6 to 1.5, applied after synthesis. Out-of-range values clamp server-side. | + +## Voice Aliases + +LiteLLM passes the OpenAI names through to Gandr, which maps them so an unmodified client always gets audio: + +| OpenAI Voice | Gandr Voice | +|--------------|-------------| +| `alloy` (default) | mia | +| `ash`, `onyx` | dane | +| `ballad`, `fable` | lewis | +| `coral`, `sage`, `shimmer` | ava | +| `echo`, `verse` | leo | +| `nova` | jenny | + +Own `gandr-*` voice ids pass through unchanged. + +## Common Issues + +1. **Invalid API key**: Set `GANDR_API_KEY` to a valid `gnd_` token, or pass `api_key` to `litellm.speech()` for a per-call key. +2. **Unsupported format**: Gandr serves `wav` and `pcm` only (24 kHz, 16-bit, mono). No mp3 on the door; the API returns a 400 naming the supported formats. + +--- + +## PR description + +**Title:** `feat: Add Gandr text-to-speech provider` + +**Body:** + + +## Summary + +Adds Gandr as a first-class text-to-speech provider, following the repo's +existing provider shape (`litellm/llms/elevenlabs/text_to_speech`). + +Gandr is an OpenAI-compatible spoken-audio inference API. Its +`POST /v1/audio/speech` endpoint accepts the OpenAI request body verbatim +(`voice`, `response_format`, `speed`) and returns raw audio bytes, so an +unmodified OpenAI SDK client works after a single `base_url` change. This +provider brings that API into LiteLLM under the `gandr/` route. + +Usage: + + +import litellm +audio = litellm.speech( + model="gandr/gandr", + input="Hello from Gandr.", + voice="alloy", + response_format="wav", + speed=1.0, + api_key="gnd_...", # or GANDR_API_KEY env var +) + +## What's in the PR + +- `litellm/llms/gandr/text_to_speech/transformation.py` - `GandrTextToSpeechConfig` + extending `BaseTextToSpeechConfig`: `get_supported_openai_params`, + `map_openai_params` (request body passthrough), `validate_environment` + (`GANDR_API_KEY`, `x-api-key` header), `get_complete_url` + (`https://tts.gandr.ai/v1/audio/speech`, overridable via `GANDR_API_BASE`), + `transform_text_to_speech_request`, `transform_text_to_speech_response` + (`HttpxBinaryResponseContent`), `get_error_class` (`GandrException`). +- `litellm/llms/gandr/common_utils.py` - `GandrException(BaseLLMException)`. +- `litellm/llms/gandr/__init__.py` and `text_to_speech/__init__.py`. +- Registration: `LlmProviders.GANDR`, `ProviderConfigManager` + `get_provider_text_to_speech_config`, `litellm.speech()` dispatch, + `litellm/__init__.py` model-set wiring, `get_llm_provider_logic.py` + resolution, `model_prices_and_context_window.json` entry, and + `provider_endpoints_support.json` (`audio_speech: true`). +- Docs: `docs/providers/gandr.md` (PR targets the litellm-docs repo). +- Tests: `tests/test_litellm/llms/gandr/test_gandr_text_to_speech_transformation.py`. + +## Behavior notes + +- Auth: `GANDR_API_KEY` (or per-call `api_key`) via the `x-api-key` header. + Gandr renders at 24 kHz, 16-bit, mono; the authoritative formats are `wav` + (RIFF header) and `pcm` (headerless). +- Voice: OpenAI voice aliases are resolved by the Gandr door (e.g. `alloy` + maps to mia); `gandr-*` voice ids pass through unchanged. +- Speed: passed through; Gandr clamps to its real 0.6-1.5 range server-side. +- Errors surface through `GandrException`, so HTTP failures carry provider + context the same way the other TTS providers do. + +## Checklist + +- [x] Provider config matches litellm provider-shape conventions +- [x] Registration wired (enum, config manager, speech dispatch, model prices) +- [x] Docs added +- [x] Tests added and passing + +--- + +Files on disk (absolute paths): +- `/private/tmp/claude-501/-Users-sam/6fd1390d-8eb5-4e16-81c0-b2c32436595e/scratchpad/gandr-plugin/litellm/llms/gandr/text_to_speech/transformation.py` +- `/private/tmp/claude-501/-Users-sam/6fd1390d-8eb5-4e16-81c0-b2c32436595e/scratchpad/gandr-plugin/litellm/llms/gandr/common_utils.py` +- `/private/tmp/claude-501/-Users-sam/6fd1390d-8eb5-4e16-81c0-b2c32436595e/scratchpad/gandr-plugin/litellm/llms/gandr/__init__.py` +- `/private/tmp/claude-501/-Users-sam/6fd1390d-8eb5-4e16-81c0-b2c32436595e/scratchpad/gandr-plugin/litellm/llms/gandr/text_to_speech/__init__.py` +- `/private/tmp/claude-501/-Users-sam/6fd1390d-8eb5-4e16-81c0-b2c32436595e/scratchpad/gandr-plugin/tests/test_litellm/llms/gandr/test_gandr_text_to_speech_transformation.py` +- `/private/tmp/claude-501/-Users-sam/6fd1390d-8eb5-4e16-81c0-b2c32436595e/scratchpad/gandr-plugin/docs/gandr.md` (moves to litellm-docs `docs/providers/gandr.md`) +- `/private/tmp/claude-501/-Users-sam/6fd1390d-8eb5-4e16-81c0-b2c32436595e/scratchpad/gandr-plugin/model_prices_entry.json` + +Two notes for the workflow: (1) the docs PR must target `BerriAI/litellm-docs` (the `docs/` tree was removed from the main repo); (2) a sibling subagent's LiveKit agents-js plugin and a stray `docs-gandr-tts.md` live in the same scratchpad directory, unrelated to this deliverable, left untouched. From 52627adaa07db0ada7559c75d8925bee6eb43f1f Mon Sep 17 00:00:00 2001 From: Sam Alghaithi Date: Tue, 11 Aug 2026 23:05:52 -0700 Subject: [PATCH 02/21] Address review: Bearer auth, correct price - Auth header is Authorization: Bearer, matching the OpenAI-compatible contract the door serves (x-api-key was the native reference's header, but the verified client sends Bearer). - model_prices: gandr/gandr at /bin/zsh.01/1k chars (deployed /1M tokens), not /bin/zsh.05/1k. Em dash removed. --- .../gandr/text_to_speech/transformation.py | 6 +- model_prices_and_context_window.json | 94229 ++++++++-------- 2 files changed, 47124 insertions(+), 47111 deletions(-) diff --git a/litellm/llms/gandr/text_to_speech/transformation.py b/litellm/llms/gandr/text_to_speech/transformation.py index b4cfa945542..f9a65cb5e98 100644 --- a/litellm/llms/gandr/text_to_speech/transformation.py +++ b/litellm/llms/gandr/text_to_speech/transformation.py @@ -41,7 +41,7 @@ class GandrTextToSpeechConfig(BaseTextToSpeechConfig): The Gandr endpoint is OpenAI-compatible (`POST /v1/audio/speech`), so the request body is passed through with the OpenAI field names (`voice`, `response_format`, `speed`) intact. Only authentication differs: calls are - authorized with the `x-api-key` header using a `gnd_` token. + authorized with an `Authorization: Bearer` header using a `gnd_` token. Reference: https://gandr.ai/docs """ @@ -157,7 +157,7 @@ class GandrTextToSpeechConfig(BaseTextToSpeechConfig): headers.update( { - "x-api-key": api_key, + "Authorization": f"Bearer {api_key}", "Content-Type": "application/json", } ) @@ -179,7 +179,7 @@ class GandrTextToSpeechConfig(BaseTextToSpeechConfig): """ Build the Gandr TTS request payload. The body is OpenAI-shaped (`input`, `model`, `voice`, `response_format`, `speed`); the repo's - HTTP handler attaches the required `x-api-key` header from + HTTP handler attaches the required `Authorization: Bearer` header from `validate_environment`. """ params: Final = dict(optional_params) if optional_params else {} diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json index 81e61a14ad0..4c3fa57427b 100644 --- a/model_prices_and_context_window.json +++ b/model_prices_and_context_window.json @@ -1,47110 +1,47123 @@ { - "sample_spec": { - "code_interpreter_cost_per_session": 0.0, - "computer_use_input_cost_per_1k_tokens": 0.0, - "computer_use_output_cost_per_1k_tokens": 0.0, - "deprecation_date": "date when the model becomes deprecated in the format YYYY-MM-DD", - "file_search_cost_per_1k_calls": 0.0, - "file_search_cost_per_gb_per_day": 0.0, - "input_cost_per_audio_token": 0.0, - "input_cost_per_token": 0.0, - "litellm_provider": "one of https://docs.litellm.ai/docs/providers", - "max_input_tokens": "max input tokens, if the provider specifies it. if not default to max_tokens", - "max_output_tokens": "max output tokens, if the provider specifies it. if not default to max_tokens", - "max_tokens": "LEGACY parameter. set to max_output_tokens if provider specifies it. IF not set to max_input_tokens, if provider specifies it.", - "mode": "one of: chat, embedding, completion, image_generation, audio_transcription, audio_speech, image_generation, moderation, rerank, search", - "output_cost_per_reasoning_token": 0.0, - "output_cost_per_token": 0.0, - "search_context_cost_per_query": { - "search_context_size_high": 0.0, - "search_context_size_low": 0.0, - "search_context_size_medium": 0.0 - }, - "supported_regions": [ - "global", - "us-west-2", - "eu-west-1", - "ap-southeast-1", - "ap-northeast-1" - ], - "supports_audio_input": true, - "supports_audio_output": true, - "supports_function_calling": true, - "supports_parallel_function_calling": true, - "supports_prompt_caching": true, - "supports_reasoning": true, - "supports_response_schema": true, - "supports_system_messages": true, - "supports_vision": true, - "supports_web_search": true, - "vector_store_cost_per_gb_per_day": 0.0 - }, - "1024-x-1024/50-steps/bedrock/amazon.nova-canvas-v1:0": { - "deprecation_date": "2026-09-30", - 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"range": [ - 32000.0, - 128000.0 - ] - }, - { - "input_cost_per_token": 3e-06, - "output_cost_per_token": 1.5e-05, - "range": [ - 128000.0, - 252000.0 - ] - } - ] - }, - "dashscope/qwen3-max-2026-01-23": { - "litellm_provider": "dashscope", - "max_input_tokens": 258048, - "max_output_tokens": 65536, - "max_tokens": 65536, - "mode": "chat", - "source": "https://www.alibabacloud.com/help/en/model-studio/models", - "supports_function_calling": true, - "supports_reasoning": true, - "supports_tool_choice": true, - "tiered_pricing": [ - { - "input_cost_per_token": 1.2e-06, - "output_cost_per_token": 6e-06, - "range": [ - 0, - 32000.0 - ] - }, - { - "input_cost_per_token": 2.4e-06, - "output_cost_per_token": 1.2e-05, - "range": [ - 32000.0, - 128000.0 - ] - }, - { - "input_cost_per_token": 3e-06, - "output_cost_per_token": 1.5e-05, - "range": [ - 128000.0, - 252000.0 - ] - } - ] - }, - "dashscope/qwen3-next-80b-a3b-instruct": { - "input_cost_per_token": 1.5e-07, - "litellm_provider": "dashscope", - "max_input_tokens": 262144, - "max_output_tokens": 65536, - "max_tokens": 65536, - "mode": "chat", - "output_cost_per_token": 1.2e-06, - "source": "https://www.alibabacloud.com/help/en/model-studio/model-pricing", - "supports_function_calling": true, - "supports_tool_choice": true - }, - "dashscope/qwen3-next-80b-a3b-thinking": { - "input_cost_per_token": 1.5e-07, - "litellm_provider": "dashscope", - "max_input_tokens": 262144, - "max_output_tokens": 65536, - "max_tokens": 65536, - "mode": "chat", - "output_cost_per_token": 1.2e-06, - "source": "https://www.alibabacloud.com/help/en/model-studio/model-pricing", - "supports_function_calling": true, - "supports_reasoning": true, - "supports_tool_choice": true - }, - "dashscope/qwen3-vl-235b-a22b-instruct": { - "input_cost_per_token": 4e-07, - "litellm_provider": "dashscope", - "max_input_tokens": 131072, - "max_output_tokens": 32768, - "max_tokens": 32768, - "mode": "chat", - "output_cost_per_token": 1.6e-06, - "source": "https://www.alibabacloud.com/help/en/model-studio/model-pricing", - "supports_function_calling": true, - "supports_tool_choice": true, - "supports_vision": true - }, - "dashscope/qwen3-vl-235b-a22b-thinking": { - "input_cost_per_token": 4e-07, - "litellm_provider": "dashscope", - "max_input_tokens": 131072, - "max_output_tokens": 32768, - "max_tokens": 32768, - "mode": "chat", - "output_cost_per_token": 4e-06, - "source": "https://www.alibabacloud.com/help/en/model-studio/model-pricing", - "supports_function_calling": true, - "supports_reasoning": true, - "supports_tool_choice": true, - "supports_vision": true - }, - "dashscope/qwen3-vl-32b-instruct": { - "input_cost_per_token": 1.6e-07, - "litellm_provider": "dashscope", - "max_input_tokens": 131072, - "max_output_tokens": 32768, - "max_tokens": 32768, - "mode": "chat", - "output_cost_per_token": 6.4e-07, - "source": "https://www.alibabacloud.com/help/en/model-studio/model-pricing", - "supports_function_calling": true, - "supports_tool_choice": true, - "supports_vision": true - }, - "dashscope/qwen3-vl-32b-thinking": { - "input_cost_per_token": 1.6e-07, - "litellm_provider": "dashscope", - "max_input_tokens": 131072, - "max_output_tokens": 32768, - "max_tokens": 32768, - "mode": "chat", - "output_cost_per_token": 2.87e-06, - "source": "https://www.alibabacloud.com/help/en/model-studio/model-pricing", - "supports_function_calling": true, - "supports_reasoning": true, - "supports_tool_choice": true, - "supports_vision": true - }, - "dashscope/qwen3-vl-plus": { - "litellm_provider": "dashscope", - "max_input_tokens": 260096, - "max_output_tokens": 32768, - "max_tokens": 32768, - "mode": "chat", - "source": "https://www.alibabacloud.com/help/en/model-studio/models", - "supports_function_calling": true, - "supports_reasoning": true, - "supports_tool_choice": true, - "supports_vision": true, - "tiered_pricing": [ - { - "input_cost_per_token": 2e-07, - "output_cost_per_token": 1.6e-06, - "range": [ - 0, - 32000.0 - ] - }, - { - "input_cost_per_token": 3e-07, - "output_cost_per_token": 2.4e-06, - "range": [ - 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"mode": "chat", - "output_cost_per_token": 7.5e-06, - "source": "https://www.alibabacloud.com/help/en/model-studio/models", - "supports_function_calling": true, - "supports_prompt_caching": true, - "supports_reasoning": true, - "supports_response_schema": true, - "supports_tool_choice": true - }, - "dashscope/qwen3.7-plus": { - "litellm_provider": "dashscope", - "max_input_tokens": 991808, - "max_output_tokens": 65536, - "max_tokens": 65536, - "mode": "chat", - "source": "https://www.alibabacloud.com/help/en/model-studio/models", - "supports_function_calling": true, - "supports_prompt_caching": true, - "supports_reasoning": true, - "supports_response_schema": true, - "supports_tool_choice": true, - "supports_vision": true, - "tiered_pricing": [ - { - "cache_read_input_token_cost": 8e-08, - "input_cost_per_token": 4e-07, - "output_cost_per_token": 1.6e-06, - "range": [ - 0, - 256000.0 - ] - }, - { - "cache_read_input_token_cost": 2.4e-07, - "input_cost_per_token": 1.2e-06, - "output_cost_per_token": 4.8e-06, - "range": [ - 256000.0, - 1000000.0 - ] - } - ] - }, - "dashscope/qwq-plus": { - "input_cost_per_token": 8e-07, - "litellm_provider": "dashscope", - "max_input_tokens": 98304, - "max_output_tokens": 8192, - "max_tokens": 8192, - "mode": "chat", - "output_cost_per_token": 2.4e-06, - "source": "https://www.alibabacloud.com/help/en/model-studio/models", - "supports_function_calling": true, - "supports_reasoning": true, - "supports_tool_choice": true - }, - "dashscope/qwen-image-2.0": { - "litellm_provider": "dashscope", - "mode": "image_generation", - "source": "https://www.alibabacloud.com/help/en/model-studio/models", - "supported_endpoints": [ - "/v1/images/generations" - ] - }, - "dashscope/qwen-image-2.0-pro": { - "litellm_provider": "dashscope", - "mode": "image_generation", - "source": "https://www.alibabacloud.com/help/en/model-studio/models", - "supported_endpoints": [ - "/v1/images/generations" - ] - }, - "databricks/databricks-bge-large-en": { - "input_cost_per_token": 1.0003e-07, - "input_dbu_cost_per_token": 1.429e-06, - "litellm_provider": "databricks", - "max_input_tokens": 512, - "max_tokens": 512, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070, based on databricks Llama 3.1 70B conversion. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "embedding", - "output_cost_per_token": 0.0, - "output_dbu_cost_per_token": 0.0, - "output_vector_size": 1024, - "source": "https://www.databricks.com/product/pricing/foundation-model-serving" - }, - "databricks/databricks-claude-3-7-sonnet": { - "input_cost_per_token": 2.9999900000000002e-06, - "input_dbu_cost_per_token": 4.2857e-05, - "litellm_provider": "databricks", - "max_input_tokens": 200000, - "max_output_tokens": 128000, - "max_tokens": 128000, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 1.5000020000000002e-05, - "output_dbu_cost_per_token": 0.000214286, - "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving", - "supports_assistant_prefill": true, - "supports_function_calling": true, - "supports_reasoning": true, - "supports_tool_choice": true - }, - "databricks/databricks-claude-haiku-4-5": { - "input_cost_per_token": 1.00002e-06, - "input_dbu_cost_per_token": 1.4286e-05, - "litellm_provider": "databricks", - "max_input_tokens": 200000, - "max_output_tokens": 64000, - "max_tokens": 64000, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 5.00003e-06, - "output_dbu_cost_per_token": 7.1429e-05, - "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving", - "supports_assistant_prefill": true, - "supports_function_calling": true, - "supports_reasoning": true, - "supports_tool_choice": true - }, - "databricks/databricks-claude-opus-4": { - "input_cost_per_token": 1.5000020000000002e-05, - "input_dbu_cost_per_token": 0.000214286, - "litellm_provider": "databricks", - "max_input_tokens": 200000, - "max_output_tokens": 32000, - "max_tokens": 32000, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 7.500003000000001e-05, - "output_dbu_cost_per_token": 0.001071429, - "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving", - "supports_assistant_prefill": true, - "supports_function_calling": true, - "supports_reasoning": true, - "supports_tool_choice": true - }, - "databricks/databricks-claude-opus-4-1": { - "input_cost_per_token": 1.5000020000000002e-05, - "input_dbu_cost_per_token": 0.000214286, - "litellm_provider": "databricks", - "max_input_tokens": 200000, - "max_output_tokens": 32000, - "max_tokens": 32000, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 7.500003000000001e-05, - "output_dbu_cost_per_token": 0.001071429, - "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving", - "supports_assistant_prefill": true, - "supports_function_calling": true, - "supports_reasoning": true, - "supports_tool_choice": true - }, - "databricks/databricks-claude-opus-4-5": { - "input_cost_per_token": 5.00003e-06, - "input_dbu_cost_per_token": 7.1429e-05, - "litellm_provider": "databricks", - "max_input_tokens": 200000, - "max_output_tokens": 64000, - "max_tokens": 64000, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 2.5000010000000002e-05, - "output_dbu_cost_per_token": 0.000357143, - "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving", - "supports_assistant_prefill": true, - "supports_function_calling": true, - "supports_reasoning": true, - "supports_tool_choice": true, - "supports_output_config": true - }, - "databricks/databricks-claude-sonnet-4": { - "input_cost_per_token": 2.9999900000000002e-06, - "input_dbu_cost_per_token": 4.2857e-05, - "litellm_provider": "databricks", - "max_input_tokens": 200000, - "max_output_tokens": 64000, - "max_tokens": 64000, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 1.5000020000000002e-05, - "output_dbu_cost_per_token": 0.000214286, - "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving", - "supports_assistant_prefill": true, - "supports_function_calling": true, - "supports_reasoning": true, - "supports_tool_choice": true - }, - "databricks/databricks-claude-sonnet-4-1": { - "input_cost_per_token": 2.9999900000000002e-06, - "input_dbu_cost_per_token": 4.2857e-05, - "litellm_provider": "databricks", - "max_input_tokens": 200000, - "max_output_tokens": 64000, - "max_tokens": 64000, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 1.5000020000000002e-05, - "output_dbu_cost_per_token": 0.000214286, - "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving", - "supports_assistant_prefill": true, - "supports_function_calling": true, - "supports_reasoning": true, - "supports_tool_choice": true - }, - "databricks/databricks-claude-sonnet-4-5": { - "input_cost_per_token": 2.9999900000000002e-06, - "input_dbu_cost_per_token": 4.2857e-05, - "litellm_provider": "databricks", - "max_input_tokens": 200000, - "max_output_tokens": 64000, - "max_tokens": 64000, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 1.5000020000000002e-05, - "output_dbu_cost_per_token": 0.000214286, - "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving", - "supports_assistant_prefill": true, - "supports_function_calling": true, - "supports_reasoning": true, - "supports_tool_choice": true - }, - "databricks/databricks-gemini-2-5-flash": { - "input_cost_per_token": 3.0001999999999996e-07, - "input_dbu_cost_per_token": 4.285999999999999e-06, - "litellm_provider": "databricks", - "max_input_tokens": 1048576, - "max_output_tokens": 65535, - "max_tokens": 65535, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 2.49998e-06, - "output_dbu_cost_per_token": 3.5714e-05, - "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving", - "supports_function_calling": true, - "supports_tool_choice": true - }, - "databricks/databricks-gemini-2-5-pro": { - "input_cost_per_token": 1.24999e-06, - "input_dbu_cost_per_token": 1.7857e-05, - "litellm_provider": "databricks", - "max_input_tokens": 1048576, - "max_output_tokens": 65536, - "max_tokens": 65536, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 9.999990000000002e-06, - "output_dbu_cost_per_token": 0.000142857, - "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving", - "supports_function_calling": true, - "supports_tool_choice": true - }, - "databricks/databricks-gemma-3-12b": { - "input_cost_per_token": 1.5000999999999998e-07, - "input_dbu_cost_per_token": 2.1429999999999996e-06, - "litellm_provider": "databricks", - "max_input_tokens": 128000, - "max_output_tokens": 32000, - "max_tokens": 32000, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 5.0001e-07, - "output_dbu_cost_per_token": 7.143e-06, - "source": "https://www.databricks.com/product/pricing/foundation-model-serving" - }, - "databricks/databricks-gpt-5": { - "input_cost_per_token": 1.24999e-06, - "input_dbu_cost_per_token": 1.7857e-05, - "litellm_provider": "databricks", - "max_input_tokens": 272000, - "max_output_tokens": 128000, - "max_tokens": 128000, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 9.999990000000002e-06, - "output_dbu_cost_per_token": 0.000142857, - "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving" - }, - "databricks/databricks-gpt-5-1": { - "input_cost_per_token": 1.24999e-06, - "input_dbu_cost_per_token": 1.7857e-05, - "litellm_provider": "databricks", - "max_input_tokens": 272000, - "max_output_tokens": 128000, - "max_tokens": 128000, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 9.999990000000002e-06, - "output_dbu_cost_per_token": 0.000142857, - "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving" - }, - "databricks/databricks-gpt-5-mini": { - "input_cost_per_token": 2.4997000000000006e-07, - "input_dbu_cost_per_token": 3.571e-06, - "litellm_provider": "databricks", - "max_input_tokens": 272000, - "max_output_tokens": 128000, - "max_tokens": 128000, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 1.9999700000000004e-06, - "output_dbu_cost_per_token": 2.8571e-05, - "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving" - }, - "databricks/databricks-gpt-5-nano": { - "input_cost_per_token": 4.998e-08, - "input_dbu_cost_per_token": 7.14e-07, - "litellm_provider": "databricks", - "max_input_tokens": 272000, - "max_output_tokens": 128000, - "max_tokens": 128000, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 3.9998000000000007e-07, - "output_dbu_cost_per_token": 5.714000000000001e-06, - "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving" - }, - "databricks/databricks-gpt-oss-120b": { - "input_cost_per_token": 1.5000999999999998e-07, - "input_dbu_cost_per_token": 2.1429999999999996e-06, - "litellm_provider": "databricks", - "max_input_tokens": 131072, - "max_output_tokens": 131072, - "max_tokens": 131072, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 5.9997e-07, - "output_dbu_cost_per_token": 8.571e-06, - "source": "https://www.databricks.com/product/pricing/foundation-model-serving" - }, - "databricks/databricks-gpt-oss-20b": { - "input_cost_per_token": 7e-08, - "input_dbu_cost_per_token": 1e-06, - "litellm_provider": "databricks", - "max_input_tokens": 131072, - "max_output_tokens": 131072, - "max_tokens": 131072, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 3.0001999999999996e-07, - "output_dbu_cost_per_token": 4.285999999999999e-06, - "source": "https://www.databricks.com/product/pricing/foundation-model-serving" - }, - "databricks/databricks-gte-large-en": { - "input_cost_per_token": 1.2999000000000001e-07, - "input_dbu_cost_per_token": 1.857e-06, - "litellm_provider": "databricks", - "max_input_tokens": 8192, - "max_tokens": 8192, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070, based on databricks Llama 3.1 70B conversion. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "embedding", - "output_cost_per_token": 0.0, - "output_dbu_cost_per_token": 0.0, - "output_vector_size": 1024, - "source": "https://www.databricks.com/product/pricing/foundation-model-serving" - }, - "databricks/databricks-llama-2-70b-chat": { - "input_cost_per_token": 5.0001e-07, - "input_dbu_cost_per_token": 7.143e-06, - "litellm_provider": "databricks", - "max_input_tokens": 4096, - "max_output_tokens": 4096, - "max_tokens": 4096, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070, based on databricks Llama 3.1 70B conversion. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 1.5000300000000002e-06, - "output_dbu_cost_per_token": 2.1429e-05, - "source": "https://www.databricks.com/product/pricing/foundation-model-serving", - "supports_tool_choice": true - }, - "databricks/databricks-llama-4-maverick": { - "input_cost_per_token": 5.0001e-07, - "input_dbu_cost_per_token": 7.143e-06, - "litellm_provider": "databricks", - "max_input_tokens": 128000, - "max_output_tokens": 128000, - "max_tokens": 128000, - "metadata": { - "notes": "Databricks documentation now provides both DBU costs (_dbu_cost_per_token) and dollar costs(_cost_per_token)." - }, - "mode": "chat", - "output_cost_per_token": 1.5000300000000002e-06, - "output_dbu_cost_per_token": 2.1429e-05, - "source": "https://www.databricks.com/product/pricing/foundation-model-serving", - "supports_tool_choice": true - }, - "databricks/databricks-meta-llama-3-1-405b-instruct": { - "input_cost_per_token": 5.00003e-06, - "input_dbu_cost_per_token": 7.1429e-05, - "litellm_provider": "databricks", - "max_input_tokens": 128000, - "max_output_tokens": 128000, - "max_tokens": 128000, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070, based on databricks Llama 3.1 70B conversion. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 1.5000020000000002e-05, - "output_dbu_cost_per_token": 0.000214286, - "source": "https://www.databricks.com/product/pricing/foundation-model-serving", - "supports_tool_choice": true - }, - "databricks/databricks-meta-llama-3-1-8b-instruct": { - "input_cost_per_token": 1.5000999999999998e-07, - "input_dbu_cost_per_token": 2.1429999999999996e-06, - "litellm_provider": "databricks", - "max_input_tokens": 200000, - "max_output_tokens": 128000, - "max_tokens": 128000, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 4.5003000000000007e-07, - "output_dbu_cost_per_token": 6.429000000000001e-06, - "source": "https://www.databricks.com/product/pricing/foundation-model-serving" - }, - "databricks/databricks-meta-llama-3-3-70b-instruct": { - "input_cost_per_token": 5.0001e-07, - "input_dbu_cost_per_token": 7.143e-06, - "litellm_provider": "databricks", - "max_input_tokens": 128000, - "max_output_tokens": 128000, - "max_tokens": 128000, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070, based on databricks Llama 3.1 70B conversion. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 1.5000300000000002e-06, - "output_dbu_cost_per_token": 2.1429e-05, - "source": "https://www.databricks.com/product/pricing/foundation-model-serving", - "supports_tool_choice": true - }, - "databricks/databricks-meta-llama-3-70b-instruct": { - "input_cost_per_token": 1.00002e-06, - "input_dbu_cost_per_token": 1.4286e-05, - "litellm_provider": "databricks", - "max_input_tokens": 128000, - "max_output_tokens": 128000, - "max_tokens": 128000, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070, based on databricks Llama 3.1 70B conversion. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 2.9999900000000002e-06, - "output_dbu_cost_per_token": 4.2857e-05, - "source": "https://www.databricks.com/product/pricing/foundation-model-serving", - "supports_tool_choice": true - }, - "databricks/databricks-mixtral-8x7b-instruct": { - "input_cost_per_token": 5.0001e-07, - "input_dbu_cost_per_token": 7.143e-06, - "litellm_provider": "databricks", - "max_input_tokens": 4096, - "max_output_tokens": 4096, - "max_tokens": 4096, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070, based on databricks Llama 3.1 70B conversion. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 1.00002e-06, - "output_dbu_cost_per_token": 1.4286e-05, - "source": "https://www.databricks.com/product/pricing/foundation-model-serving", - "supports_tool_choice": true - }, - "databricks/databricks-mpt-30b-instruct": { - "input_cost_per_token": 1.00002e-06, - "input_dbu_cost_per_token": 1.4286e-05, - "litellm_provider": "databricks", - "max_input_tokens": 8192, - "max_output_tokens": 8192, - "max_tokens": 8192, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070, based on databricks Llama 3.1 70B conversion. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 1.00002e-06, - "output_dbu_cost_per_token": 1.4286e-05, - "source": "https://www.databricks.com/product/pricing/foundation-model-serving", - "supports_tool_choice": true - }, - "databricks/databricks-mpt-7b-instruct": { - "input_cost_per_token": 5.0001e-07, - "input_dbu_cost_per_token": 7.143e-06, - "litellm_provider": "databricks", - "max_input_tokens": 8192, - "max_output_tokens": 8192, - "max_tokens": 8192, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070, based on databricks Llama 3.1 70B conversion. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 0.0, - "output_dbu_cost_per_token": 0.0, - "source": "https://www.databricks.com/product/pricing/foundation-model-serving", - "supports_tool_choice": true - }, - "dataforseo/search": { - "input_cost_per_query": 0.003, - "litellm_provider": "dataforseo", - "mode": "search" - }, - "davinci-002": { - "input_cost_per_token": 2e-06, - "litellm_provider": "text-completion-openai", - "max_input_tokens": 16384, - "max_output_tokens": 4096, - "max_tokens": 4096, - "mode": "completion", - "output_cost_per_token": 2e-06 - }, - "deepgram/base": { - "input_cost_per_second": 0.00020833, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0125/60 seconds = $0.00020833 per second", - "original_pricing_per_minute": 0.0125 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/base-conversationalai": { - "input_cost_per_second": 0.00020833, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0125/60 seconds = $0.00020833 per second", - "original_pricing_per_minute": 0.0125 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/base-finance": { - "input_cost_per_second": 0.00020833, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0125/60 seconds = $0.00020833 per second", - "original_pricing_per_minute": 0.0125 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/base-general": { - "input_cost_per_second": 0.00020833, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0125/60 seconds = $0.00020833 per second", - "original_pricing_per_minute": 0.0125 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/base-meeting": { - "input_cost_per_second": 0.00020833, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0125/60 seconds = $0.00020833 per second", - "original_pricing_per_minute": 0.0125 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/base-phonecall": { - "input_cost_per_second": 0.00020833, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0125/60 seconds = $0.00020833 per second", - "original_pricing_per_minute": 0.0125 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/base-video": { - "input_cost_per_second": 0.00020833, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0125/60 seconds = $0.00020833 per second", - "original_pricing_per_minute": 0.0125 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/base-voicemail": { - "input_cost_per_second": 0.00020833, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0125/60 seconds = $0.00020833 per second", - "original_pricing_per_minute": 0.0125 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/enhanced": { - "input_cost_per_second": 0.00024167, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0145/60 seconds = $0.00024167 per second", - "original_pricing_per_minute": 0.0145 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/enhanced-finance": { - "input_cost_per_second": 0.00024167, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0145/60 seconds = $0.00024167 per second", - "original_pricing_per_minute": 0.0145 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/enhanced-general": { - "input_cost_per_second": 0.00024167, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0145/60 seconds = $0.00024167 per second", - "original_pricing_per_minute": 0.0145 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/enhanced-meeting": { - "input_cost_per_second": 0.00024167, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0145/60 seconds = $0.00024167 per second", - "original_pricing_per_minute": 0.0145 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/enhanced-phonecall": { - "input_cost_per_second": 0.00024167, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0145/60 seconds = $0.00024167 per second", - "original_pricing_per_minute": 0.0145 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/nova": { - "input_cost_per_second": 7.167e-05, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0043/60 seconds = $0.00007167 per second", - "original_pricing_per_minute": 0.0043 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/nova-2": { - "input_cost_per_second": 7.167e-05, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0043/60 seconds = $0.00007167 per second", - "original_pricing_per_minute": 0.0043 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/nova-2-atc": { - "input_cost_per_second": 7.167e-05, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0043/60 seconds = $0.00007167 per second", - "original_pricing_per_minute": 0.0043 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/nova-2-automotive": { - "input_cost_per_second": 7.167e-05, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0043/60 seconds = $0.00007167 per second", - "original_pricing_per_minute": 0.0043 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/nova-2-conversationalai": { - "input_cost_per_second": 7.167e-05, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0043/60 seconds = $0.00007167 per second", - "original_pricing_per_minute": 0.0043 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/nova-2-drivethru": { - "input_cost_per_second": 7.167e-05, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0043/60 seconds = $0.00007167 per second", - "original_pricing_per_minute": 0.0043 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/nova-2-finance": { - "input_cost_per_second": 7.167e-05, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0043/60 seconds = $0.00007167 per second", - "original_pricing_per_minute": 0.0043 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/nova-2-general": { - "input_cost_per_second": 7.167e-05, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0043/60 seconds = $0.00007167 per second", - "original_pricing_per_minute": 0.0043 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/nova-2-meeting": { - "input_cost_per_second": 7.167e-05, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0043/60 seconds = $0.00007167 per second", - "original_pricing_per_minute": 0.0043 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/nova-2-phonecall": { - "input_cost_per_second": 7.167e-05, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0043/60 seconds = $0.00007167 per second", - "original_pricing_per_minute": 0.0043 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/nova-2-video": { - "input_cost_per_second": 7.167e-05, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0043/60 seconds = $0.00007167 per second", - "original_pricing_per_minute": 0.0043 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/nova-2-voicemail": { - "input_cost_per_second": 7.167e-05, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0043/60 seconds = $0.00007167 per second", - "original_pricing_per_minute": 0.0043 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/nova-3": { - "input_cost_per_second": 7.167e-05, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0043/60 seconds = $0.00007167 per second", - "original_pricing_per_minute": 0.0043 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/nova-3-general": { - "input_cost_per_second": 7.167e-05, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0043/60 seconds = $0.00007167 per second", - "original_pricing_per_minute": 0.0043 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/nova-3-medical": { - "input_cost_per_second": 8.667e-05, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0052/60 seconds = $0.00008667 per second (multilingual)", - "original_pricing_per_minute": 0.0052 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/nova-general": { - "input_cost_per_second": 7.167e-05, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0043/60 seconds = $0.00007167 per second", - "original_pricing_per_minute": 0.0043 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - 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Assuming same as gemini-1.5-pro.", - "supports_tool_choice": true - }, - "mode": "chat", - "output_cost_per_token": 0, - "output_cost_per_token_above_128k_tokens": 0, - "rpm": 1000, - "source": "https://ai.google.dev/pricing", - "supports_function_calling": true, - "supports_response_schema": true, - "supports_system_messages": true, - "supports_tool_choice": true, - "supports_vision": true, - "tpm": 4000000 - }, - "gemini/gemini-exp-1206": { - "input_cost_per_token": 0, - "input_cost_per_token_above_128k_tokens": 0, - "litellm_provider": "gemini", - "max_input_tokens": 2097152, - "max_output_tokens": 8192, - "max_tokens": 8192, - "metadata": { - "notes": "Rate limits not documented for gemini-exp-1206. 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"mode": "chat", - "output_cost_per_token": 1.05e-06, - "source": "https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#foundation_models", - "supports_function_calling": true, - "supports_tool_choice": true, - "supports_vision": true, - "tpm": 250000, - "rpm": 10 - }, - "gemini/gemma-3-27b-it": { - "input_cost_per_audio_per_second": 0, - "input_cost_per_audio_per_second_above_128k_tokens": 0, - "input_cost_per_character": 0, - "input_cost_per_character_above_128k_tokens": 0, - "input_cost_per_image": 0, - "input_cost_per_image_above_128k_tokens": 0, - "input_cost_per_token": 0, - "input_cost_per_token_above_128k_tokens": 0, - "input_cost_per_video_per_second": 0, - "input_cost_per_video_per_second_above_128k_tokens": 0, - "litellm_provider": "gemini", - "max_input_tokens": 131072, - "max_output_tokens": 8192, - "max_tokens": 8192, - "mode": "chat", - "output_cost_per_character": 0, - "output_cost_per_character_above_128k_tokens": 0, - "output_cost_per_token": 0, - "output_cost_per_token_above_128k_tokens": 0, - 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"input_cost_per_video_per_second": 0, - "input_cost_per_video_per_second_above_128k_tokens": 0, - "litellm_provider": "gemini", - "max_input_tokens": 32767, - "max_output_tokens": 8192, - "max_tokens": 8192, - "mode": "chat", - "output_cost_per_character": 0, - "output_cost_per_character_above_128k_tokens": 0, - "output_cost_per_token": 0, - "output_cost_per_token_above_128k_tokens": 0, - "source": "https://aistudio.google.com", - "supports_audio_output": false, - "supports_function_calling": true, - "supports_response_schema": true, - "supports_system_messages": true, - "supports_tool_choice": true, - "supports_vision": true - }, - "gemini/lyria-3-clip-preview": { - "input_cost_per_token": 0, - "litellm_provider": "gemini", - "max_input_tokens": 131072, - "max_output_tokens": 8192, - "max_tokens": 8192, - "mode": "chat", - "output_cost_per_image": 0.04, - "output_cost_per_token": 0, - "source": "https://ai.google.dev/gemini-api/docs/pricing", - "supported_modalities": [ - "text" - ], - 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"deprecation_date": "2026-06-30", - "litellm_provider": "gemini", - "max_input_tokens": 1024, - "max_tokens": 1024, - "mode": "video_generation", - "output_cost_per_second": 0.35, - "source": "https://ai.google.dev/gemini-api/docs/video", - "supported_modalities": [ - "text" - ], - "supported_output_modalities": [ - "video" - ] - }, - "gemini/veo-3.1-fast-generate-preview": { - "litellm_provider": "gemini", - "max_input_tokens": 1024, - "max_tokens": 1024, - "mode": "video_generation", - "output_cost_per_second": 0.15, - "source": "https://ai.google.dev/gemini-api/docs/video", - "supported_modalities": [ - "text" - ], - "supported_output_modalities": [ - "video" - ] - }, - "gemini/veo-3.1-generate-preview": { - "litellm_provider": "gemini", - "max_input_tokens": 1024, - "max_tokens": 1024, - "mode": "video_generation", - "output_cost_per_second": 0.4, - "source": "https://ai.google.dev/gemini-api/docs/video", - "supported_modalities": [ - "text" - ], - "supported_output_modalities": [ - "video" - ] - }, - "gemini/veo-3.1-lite-generate-preview": { - "litellm_provider": "gemini", - "max_input_tokens": 1024, - "max_tokens": 1024, - "mode": "video_generation", - "output_cost_per_second": 0.05, - "output_cost_per_second_1080p": 0.08, - "source": "https://ai.google.dev/gemini-api/docs/video", - "supported_modalities": [ - "text" - ], - "supported_output_modalities": [ - "video" - ] - }, - "gemini/veo-3.1-fast-generate-001": { - "litellm_provider": "gemini", - "max_input_tokens": 1024, - "max_tokens": 1024, - "mode": "video_generation", - "output_cost_per_second": 0.15, - "source": "https://ai.google.dev/gemini-api/docs/video", - "supported_modalities": [ - "text" - ], - "supported_output_modalities": [ - "video" - ] - }, - "gemini/veo-3.1-generate-001": { - "litellm_provider": "gemini", - "max_input_tokens": 1024, - "max_tokens": 1024, - "mode": "video_generation", - "output_cost_per_second": 0.4, - "source": "https://ai.google.dev/gemini-api/docs/video", - "supported_modalities": [ - "text" - ], - "supported_output_modalities": [ - "video" - ] - }, - "github_copilot/claude-haiku-4.5": { - "litellm_provider": "github_copilot", - "max_input_tokens": 128000, - "max_output_tokens": 16000, - "max_tokens": 16000, - "mode": "chat", - "supported_endpoints": [ - "/v1/chat/completions" - ], - "supports_function_calling": true, - "supports_parallel_function_calling": true, - "supports_vision": true - }, - "github_copilot/claude-opus-4.5": { - "litellm_provider": "github_copilot", - "max_input_tokens": 128000, - "max_output_tokens": 16000, - "max_tokens": 16000, - "mode": "chat", - "supported_endpoints": [ - "/v1/chat/completions" - ], - "supports_function_calling": true, - "supports_parallel_function_calling": true, - "supports_vision": true, - "supports_output_config": true - }, - "github_copilot/claude-opus-4.6-fast": { - "supports_adaptive_thinking": true, - "litellm_provider": "github_copilot", - "max_input_tokens": 128000, - "max_output_tokens": 16000, - "max_tokens": 16000, - 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"max_input_tokens": 16384, - "max_output_tokens": 4096, - "max_tokens": 4096, - "mode": "chat", - "supports_function_calling": true - }, - "github_copilot/gpt-4": { - "litellm_provider": "github_copilot", - "max_input_tokens": 32768, - "max_output_tokens": 4096, - "max_tokens": 4096, - "mode": "chat", - "supports_function_calling": true - }, - "github_copilot/gpt-4-0613": { - "litellm_provider": "github_copilot", - "max_input_tokens": 32768, - "max_output_tokens": 4096, - "max_tokens": 4096, - "mode": "chat", - "supports_function_calling": true - }, - "github_copilot/gpt-4-o-preview": { - "litellm_provider": "github_copilot", - "max_input_tokens": 64000, - "max_output_tokens": 4096, - "max_tokens": 4096, - "mode": "chat", - "supports_function_calling": true, - "supports_parallel_function_calling": true - }, - "github_copilot/gpt-4.1": { - "litellm_provider": "github_copilot", - "max_input_tokens": 128000, - "max_output_tokens": 16384, - "max_tokens": 16384, - "mode": "chat", - "supports_function_calling": true, - 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"supports_function_calling": true, - "supports_response_schema": true, - "supports_tool_choice": true - }, - "mistral/mistral-moderation-2603": { - "input_cost_per_token": 0.0, - "litellm_provider": "mistral", - "max_input_tokens": 131072, - "mode": "moderation", - "output_cost_per_token": 0.0, - "source": "https://docs.mistral.ai/models/model-cards/mistral-moderation-26-03" - }, - "mistral/voxtral-mini-2602": { - "input_cost_per_second": 5e-05, - "litellm_provider": "mistral", - "mode": "audio_transcription", - "source": "https://docs.mistral.ai/models/model-cards/voxtral-mini-transcribe-26-02", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ], - "supported_modalities": [ - "audio" - ], - "supported_output_modalities": [ - "text" - ], - "supports_audio_input": true - }, - "mistral/voxtral-mini-transcribe-realtime-2602": { - "input_cost_per_second": 0.0001, - "litellm_provider": "mistral", - "mode": "audio_transcription", - "source": "https://docs.mistral.ai/models/model-cards/voxtral-mini-transcribe-realtime-26-02", - 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Anchored to the start because routing rules see the raw request string and provider inference feeds the proxy's provider/* wildcard access checks: an id under an unrecognized namespace such as bedrockz/anthropic.claude-... must stay unroutable rather than resolve to bedrock and slip through a bedrock/* key. Routes to bedrock before the bare-id Anthropic rule is consulted.", - "model_info": { - "litellm_provider": "bedrock" - } - }, - { - "name": "anthropic-claude-ids", - "pattern": "^claude-[a-z]+-\\d+(?:[-.]\\d+)?(?:-\\d{8})?$", - "description": "A bare Claude family-major id with an optional minor and an optional 8-digit date suffix, anchored to the whole name, so claude-newfamily-5 routes like claude-newfamily-5-1 does. Routes an unmapped Claude id that carries no provider namespace to the Anthropic API.", - "model_info": { - "litellm_provider": "anthropic" - } - }, - { - "name": "claude-family-baseline", - "pattern": "claude-[a-z]+-\\d+(?:[-.]\\d+)?(?:-\\d{8})?", - "description": "Any Claude family-major id with an optional minor and an optional 8-digit date suffix, under any provider namespace (bare, bedrock-dotted, vertex, databricks, ...), so bare majors like claude-newfamily-5 get the same baseline as claude-newfamily-5-1. Carries the model-family facts every Claude shares; it carries no pricing, so cost stays on the standard unpriced behavior rather than a guessed number.", - "model_info": { - "mode": "chat", - "max_input_tokens": 200000, - "max_output_tokens": 64000, - "max_tokens": 64000, - "supports_function_calling": true, - "supports_parallel_function_calling": true, - "supports_vision": true, - "supports_tool_choice": true, - "supports_assistant_prefill": true, - "supports_prompt_caching": true, - "supports_response_schema": true, - "supports_reasoning": true, - "supports_pdf_input": true, - "supports_system_messages": true - } - }, - { - "name": "claude-adaptive-thinking", - "pattern": "claude-[a-z]+-(?:4[-._](?:[6-9]|[1-9]\\d)(?!\\d)|(?:[5-9]|[1-9]\\d)(?!\\d)(?:[-._]\\d{1,2}(?!\\d))?)", - "description": "Claude at version 4.6 or higher, in any id shape that contains claude--: minors 4.6 through 4.99, any later major-minor, and bare 5+ majors so a new family shaped like claude-fable-5 matches. Requiring the claude- prefix keeps non-Claude names such as team-sonnet-5-1 out. The minor is capped at two digits so an 8-digit date suffix such as claude-opus-4-20250514 is never read as a >= 4.6 minor. Turns on adaptive thinking for new versions and new families with no code change.", - "model_info": { - "supports_adaptive_thinking": true - } - }, - { - "name": "claude-mid-conversation-system", - "pattern": "claude-[a-z]+-(?:4[-._](?:[89]|[1-9]\\d)(?!\\d)|(?:[5-9]|[1-9]\\d)(?!\\d)(?:[-._]\\d{1,2}(?!\\d))?)", - "description": "Claude at version 4.8 or higher, in any id shape that contains claude--: minors 4.8 through 4.99, any later major-minor, and bare 5+ majors so a new family like claude-fable-5 matches. Anthropic introduced mid-conversation system messages with Opus 4.8 and every newer Claude keeps them; 4.7 and below reject the system role inside messages.", - "model_info": { - "supports_mid_conversation_system": true - } - } - ] + "sample_spec": { + "code_interpreter_cost_per_session": 0.0, + "computer_use_input_cost_per_1k_tokens": 0.0, + "computer_use_output_cost_per_1k_tokens": 0.0, + "deprecation_date": "date when the model becomes deprecated in the format YYYY-MM-DD", + "file_search_cost_per_1k_calls": 0.0, + "file_search_cost_per_gb_per_day": 0.0, + "input_cost_per_audio_token": 0.0, + "input_cost_per_token": 0.0, + "litellm_provider": "one of https://docs.litellm.ai/docs/providers", + "max_input_tokens": "max input tokens, if the provider specifies it. if not default to max_tokens", + "max_output_tokens": "max output tokens, if the provider specifies it. if not default to max_tokens", + "max_tokens": "LEGACY parameter. set to max_output_tokens if provider specifies it. IF not set to max_input_tokens, if provider specifies it.", + "mode": "one of: chat, embedding, completion, image_generation, audio_transcription, audio_speech, image_generation, moderation, rerank, search", + "output_cost_per_reasoning_token": 0.0, + "output_cost_per_token": 0.0, + "search_context_cost_per_query": { + "search_context_size_high": 0.0, + "search_context_size_low": 0.0, + "search_context_size_medium": 0.0 + }, + "supported_regions": [ + "global", + "us-west-2", + "eu-west-1", + "ap-southeast-1", + "ap-northeast-1" + ], + "supports_audio_input": true, + "supports_audio_output": true, + "supports_function_calling": true, + "supports_parallel_function_calling": true, + "supports_prompt_caching": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_system_messages": true, + "supports_vision": true, + "supports_web_search": true, + "vector_store_cost_per_gb_per_day": 0.0 + }, + "1024-x-1024/50-steps/bedrock/amazon.nova-canvas-v1:0": { + 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"max_input_tokens": 77, + "max_tokens": 77, + "mode": "image_generation", + "output_cost_per_image": 0.018 + }, + "512-x-512/dall-e-2": { + "input_cost_per_pixel": 6.86e-08, + "litellm_provider": "openai", + "mode": "image_generation", + "output_cost_per_pixel": 0.0 + }, + "512-x-512/max-steps/stability.stable-diffusion-xl-v0": { + "litellm_provider": "bedrock", + "max_input_tokens": 77, + "max_tokens": 77, + "mode": "image_generation", + "output_cost_per_image": 0.036 + }, + "ai21.j2-mid-v1": { + "input_cost_per_token": 1.25e-05, + "litellm_provider": "bedrock", + "max_input_tokens": 8191, + "max_output_tokens": 8191, + "max_tokens": 8191, + "mode": "chat", + "output_cost_per_token": 1.25e-05 + }, + "ai21.j2-ultra-v1": { + "input_cost_per_token": 1.88e-05, + "litellm_provider": "bedrock", + "max_input_tokens": 8191, + "max_output_tokens": 8191, + "max_tokens": 8191, + "mode": "chat", + "output_cost_per_token": 1.88e-05 + }, + "ai21.jamba-1-5-large-v1:0": { + "deprecation_date": "2026-11-26", + "input_cost_per_token": 2e-06, + "litellm_provider": "bedrock", + "max_input_tokens": 256000, + "max_output_tokens": 256000, + "max_tokens": 256000, + "mode": "chat", + "output_cost_per_token": 8e-06 + }, + "ai21.jamba-1-5-mini-v1:0": { + "deprecation_date": "2026-11-26", + "input_cost_per_token": 2e-07, + "litellm_provider": "bedrock", + "max_input_tokens": 256000, + "max_output_tokens": 256000, + "max_tokens": 256000, + "mode": "chat", + "output_cost_per_token": 4e-07 + }, + "ai21.jamba-instruct-v1:0": { + "input_cost_per_token": 5e-07, + "litellm_provider": "bedrock", + "max_input_tokens": 70000, + "max_output_tokens": 4096, + "max_tokens": 4096, + "mode": "chat", + "output_cost_per_token": 7e-07, + "supports_system_messages": true + }, + "aiml/dall-e-2": { + "litellm_provider": "aiml", + "metadata": { + "notes": "DALL-E 2 via AI/ML API - Reliable text-to-image generation" + }, + "mode": "image_generation", + "output_cost_per_image": 0.026, + "source": "https://docs.aimlapi.com/", + "supported_endpoints": [ + "/v1/images/generations" + ] + }, + "aiml/dall-e-3": { + "litellm_provider": "aiml", + "metadata": { + "notes": "DALL-E 3 via AI/ML API - High-quality text-to-image generation" + }, + "mode": "image_generation", + "output_cost_per_image": 0.052, + "source": "https://docs.aimlapi.com/", + "supported_endpoints": [ + "/v1/images/generations" + ] + }, + "aiml/flux-pro": { + "litellm_provider": "aiml", + "metadata": { + "notes": "Flux Dev - Development version optimized for experimentation" + }, + "mode": "image_generation", + "output_cost_per_image": 0.065, + "source": "https://docs.aimlapi.com/", + "supported_endpoints": [ + "/v1/images/generations" + ] + }, + "aiml/flux-pro/v1.1": { + "litellm_provider": "aiml", + "mode": "image_generation", + "output_cost_per_image": 0.052, + "supported_endpoints": [ + "/v1/images/generations" + ] + }, + "aiml/flux-pro/v1.1-ultra": { + "litellm_provider": "aiml", + "mode": "image_generation", + "output_cost_per_image": 0.063, + "supported_endpoints": [ + "/v1/images/generations" + ] + }, + "aiml/flux-realism": { + "litellm_provider": "aiml", + "metadata": { + "notes": "Flux Pro - Professional-grade image generation model" + }, + "mode": "image_generation", + "output_cost_per_image": 0.046, + "source": "https://docs.aimlapi.com/", + "supported_endpoints": [ + "/v1/images/generations" + ] + }, + "aiml/flux/dev": { + "litellm_provider": "aiml", + "metadata": { + "notes": "Flux Dev - Development version optimized for experimentation" + }, + "mode": "image_generation", + "output_cost_per_image": 0.033, + "source": "https://docs.aimlapi.com/", + "supported_endpoints": [ + "/v1/images/generations" + ] + }, + "aiml/flux/kontext-max/text-to-image": { + "litellm_provider": "aiml", + "metadata": { + "notes": "Flux Pro v1.1 - Enhanced version with improved capabilities and 6x faster inference speed" + }, + "mode": "image_generation", + "output_cost_per_image": 0.104, + "source": 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Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 2.5000010000000002e-05, + "output_dbu_cost_per_token": 0.000357143, + "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving", + "supports_assistant_prefill": true, + "supports_function_calling": true, + "supports_reasoning": true, + "supports_tool_choice": true, + "supports_output_config": true + }, + "databricks/databricks-claude-sonnet-4": { + "input_cost_per_token": 2.9999900000000002e-06, + "input_dbu_cost_per_token": 4.2857e-05, + "litellm_provider": "databricks", + "max_input_tokens": 200000, + "max_output_tokens": 64000, + "max_tokens": 64000, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 1.5000020000000002e-05, + "output_dbu_cost_per_token": 0.000214286, + "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving", + "supports_assistant_prefill": true, + "supports_function_calling": true, + "supports_reasoning": true, + "supports_tool_choice": true + }, + "databricks/databricks-claude-sonnet-4-1": { + "input_cost_per_token": 2.9999900000000002e-06, + "input_dbu_cost_per_token": 4.2857e-05, + "litellm_provider": "databricks", + "max_input_tokens": 200000, + "max_output_tokens": 64000, + "max_tokens": 64000, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 1.5000020000000002e-05, + "output_dbu_cost_per_token": 0.000214286, + "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving", + "supports_assistant_prefill": true, + "supports_function_calling": true, + "supports_reasoning": true, + "supports_tool_choice": true + }, + "databricks/databricks-claude-sonnet-4-5": { + "input_cost_per_token": 2.9999900000000002e-06, + "input_dbu_cost_per_token": 4.2857e-05, + "litellm_provider": "databricks", + "max_input_tokens": 200000, + "max_output_tokens": 64000, + "max_tokens": 64000, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 1.5000020000000002e-05, + "output_dbu_cost_per_token": 0.000214286, + "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving", + "supports_assistant_prefill": true, + "supports_function_calling": true, + "supports_reasoning": true, + "supports_tool_choice": true + }, + "databricks/databricks-gemini-2-5-flash": { + "input_cost_per_token": 3.0001999999999996e-07, + "input_dbu_cost_per_token": 4.285999999999999e-06, + "litellm_provider": "databricks", + "max_input_tokens": 1048576, + "max_output_tokens": 65535, + "max_tokens": 65535, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 2.49998e-06, + "output_dbu_cost_per_token": 3.5714e-05, + "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving", + "supports_function_calling": true, + "supports_tool_choice": true + }, + "databricks/databricks-gemini-2-5-pro": { + "input_cost_per_token": 1.24999e-06, + "input_dbu_cost_per_token": 1.7857e-05, + "litellm_provider": "databricks", + "max_input_tokens": 1048576, + "max_output_tokens": 65536, + "max_tokens": 65536, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 9.999990000000002e-06, + "output_dbu_cost_per_token": 0.000142857, + "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving", + "supports_function_calling": true, + "supports_tool_choice": true + }, + "databricks/databricks-gemma-3-12b": { + "input_cost_per_token": 1.5000999999999998e-07, + "input_dbu_cost_per_token": 2.1429999999999996e-06, + "litellm_provider": "databricks", + "max_input_tokens": 128000, + "max_output_tokens": 32000, + "max_tokens": 32000, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 5.0001e-07, + "output_dbu_cost_per_token": 7.143e-06, + "source": "https://www.databricks.com/product/pricing/foundation-model-serving" + }, + "databricks/databricks-gpt-5": { + "input_cost_per_token": 1.24999e-06, + "input_dbu_cost_per_token": 1.7857e-05, + "litellm_provider": "databricks", + "max_input_tokens": 272000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 9.999990000000002e-06, + "output_dbu_cost_per_token": 0.000142857, + "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving" + }, + "databricks/databricks-gpt-5-1": { + "input_cost_per_token": 1.24999e-06, + "input_dbu_cost_per_token": 1.7857e-05, + "litellm_provider": "databricks", + "max_input_tokens": 272000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 9.999990000000002e-06, + "output_dbu_cost_per_token": 0.000142857, + "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving" + }, + "databricks/databricks-gpt-5-mini": { + "input_cost_per_token": 2.4997000000000006e-07, + "input_dbu_cost_per_token": 3.571e-06, + "litellm_provider": "databricks", + "max_input_tokens": 272000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 1.9999700000000004e-06, + "output_dbu_cost_per_token": 2.8571e-05, + "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving" + }, + "databricks/databricks-gpt-5-nano": { + "input_cost_per_token": 4.998e-08, + "input_dbu_cost_per_token": 7.14e-07, + "litellm_provider": "databricks", + "max_input_tokens": 272000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 3.9998000000000007e-07, + "output_dbu_cost_per_token": 5.714000000000001e-06, + "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving" + }, + "databricks/databricks-gpt-oss-120b": { + "input_cost_per_token": 1.5000999999999998e-07, + "input_dbu_cost_per_token": 2.1429999999999996e-06, + "litellm_provider": "databricks", + "max_input_tokens": 131072, + "max_output_tokens": 131072, + "max_tokens": 131072, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 5.9997e-07, + "output_dbu_cost_per_token": 8.571e-06, + "source": "https://www.databricks.com/product/pricing/foundation-model-serving" + }, + "databricks/databricks-gpt-oss-20b": { + "input_cost_per_token": 7e-08, + "input_dbu_cost_per_token": 1e-06, + "litellm_provider": "databricks", + "max_input_tokens": 131072, + "max_output_tokens": 131072, + "max_tokens": 131072, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 3.0001999999999996e-07, + "output_dbu_cost_per_token": 4.285999999999999e-06, + "source": "https://www.databricks.com/product/pricing/foundation-model-serving" + }, + "databricks/databricks-gte-large-en": { + "input_cost_per_token": 1.2999000000000001e-07, + "input_dbu_cost_per_token": 1.857e-06, + "litellm_provider": "databricks", + "max_input_tokens": 8192, + "max_tokens": 8192, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070, based on databricks Llama 3.1 70B conversion. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "embedding", + "output_cost_per_token": 0.0, + "output_dbu_cost_per_token": 0.0, + "output_vector_size": 1024, + "source": "https://www.databricks.com/product/pricing/foundation-model-serving" + }, + "databricks/databricks-llama-2-70b-chat": { + "input_cost_per_token": 5.0001e-07, + "input_dbu_cost_per_token": 7.143e-06, + "litellm_provider": "databricks", + "max_input_tokens": 4096, + "max_output_tokens": 4096, + "max_tokens": 4096, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070, based on databricks Llama 3.1 70B conversion. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 1.5000300000000002e-06, + "output_dbu_cost_per_token": 2.1429e-05, + "source": "https://www.databricks.com/product/pricing/foundation-model-serving", + "supports_tool_choice": true + }, + "databricks/databricks-llama-4-maverick": { + "input_cost_per_token": 5.0001e-07, + "input_dbu_cost_per_token": 7.143e-06, + "litellm_provider": "databricks", + "max_input_tokens": 128000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "metadata": { + "notes": "Databricks documentation now provides both DBU costs (_dbu_cost_per_token) and dollar costs(_cost_per_token)." + }, + "mode": "chat", + "output_cost_per_token": 1.5000300000000002e-06, + "output_dbu_cost_per_token": 2.1429e-05, + "source": "https://www.databricks.com/product/pricing/foundation-model-serving", + "supports_tool_choice": true + }, + "databricks/databricks-meta-llama-3-1-405b-instruct": { + "input_cost_per_token": 5.00003e-06, + "input_dbu_cost_per_token": 7.1429e-05, + "litellm_provider": "databricks", + "max_input_tokens": 128000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070, based on databricks Llama 3.1 70B conversion. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 1.5000020000000002e-05, + "output_dbu_cost_per_token": 0.000214286, + "source": "https://www.databricks.com/product/pricing/foundation-model-serving", + "supports_tool_choice": true + }, + "databricks/databricks-meta-llama-3-1-8b-instruct": { + "input_cost_per_token": 1.5000999999999998e-07, + "input_dbu_cost_per_token": 2.1429999999999996e-06, + "litellm_provider": "databricks", + "max_input_tokens": 200000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 4.5003000000000007e-07, + "output_dbu_cost_per_token": 6.429000000000001e-06, + "source": "https://www.databricks.com/product/pricing/foundation-model-serving" + }, + "databricks/databricks-meta-llama-3-3-70b-instruct": { + "input_cost_per_token": 5.0001e-07, + "input_dbu_cost_per_token": 7.143e-06, + "litellm_provider": "databricks", + "max_input_tokens": 128000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070, based on databricks Llama 3.1 70B conversion. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 1.5000300000000002e-06, + "output_dbu_cost_per_token": 2.1429e-05, + "source": "https://www.databricks.com/product/pricing/foundation-model-serving", + "supports_tool_choice": true + }, + "databricks/databricks-meta-llama-3-70b-instruct": { + "input_cost_per_token": 1.00002e-06, + "input_dbu_cost_per_token": 1.4286e-05, + "litellm_provider": "databricks", + "max_input_tokens": 128000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070, based on databricks Llama 3.1 70B conversion. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 2.9999900000000002e-06, + "output_dbu_cost_per_token": 4.2857e-05, + "source": "https://www.databricks.com/product/pricing/foundation-model-serving", + "supports_tool_choice": true + }, + "databricks/databricks-mixtral-8x7b-instruct": { + "input_cost_per_token": 5.0001e-07, + "input_dbu_cost_per_token": 7.143e-06, + "litellm_provider": "databricks", + "max_input_tokens": 4096, + "max_output_tokens": 4096, + "max_tokens": 4096, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070, based on databricks Llama 3.1 70B conversion. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 1.00002e-06, + "output_dbu_cost_per_token": 1.4286e-05, + "source": "https://www.databricks.com/product/pricing/foundation-model-serving", + "supports_tool_choice": true + }, + "databricks/databricks-mpt-30b-instruct": { + "input_cost_per_token": 1.00002e-06, + "input_dbu_cost_per_token": 1.4286e-05, + "litellm_provider": "databricks", + "max_input_tokens": 8192, + "max_output_tokens": 8192, + "max_tokens": 8192, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070, based on databricks Llama 3.1 70B conversion. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 1.00002e-06, + "output_dbu_cost_per_token": 1.4286e-05, + "source": "https://www.databricks.com/product/pricing/foundation-model-serving", + "supports_tool_choice": true + }, + "databricks/databricks-mpt-7b-instruct": { + "input_cost_per_token": 5.0001e-07, + "input_dbu_cost_per_token": 7.143e-06, + "litellm_provider": "databricks", + "max_input_tokens": 8192, + "max_output_tokens": 8192, + "max_tokens": 8192, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070, based on databricks Llama 3.1 70B conversion. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 0.0, + "output_dbu_cost_per_token": 0.0, + "source": "https://www.databricks.com/product/pricing/foundation-model-serving", + "supports_tool_choice": true + }, + "dataforseo/search": { + "input_cost_per_query": 0.003, + "litellm_provider": "dataforseo", + "mode": "search" + }, + "davinci-002": { + "input_cost_per_token": 2e-06, + "litellm_provider": "text-completion-openai", + "max_input_tokens": 16384, + "max_output_tokens": 4096, + "max_tokens": 4096, + "mode": "completion", + "output_cost_per_token": 2e-06 + }, + "deepgram/base": { + "input_cost_per_second": 0.00020833, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0125/60 seconds = $0.00020833 per second", + "original_pricing_per_minute": 0.0125 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": [ + "/v1/audio/transcriptions" + ] + }, + "deepgram/base-conversationalai": { + "input_cost_per_second": 0.00020833, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0125/60 seconds = $0.00020833 per second", + "original_pricing_per_minute": 0.0125 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": [ + "/v1/audio/transcriptions" + ] + }, + "deepgram/base-finance": { + "input_cost_per_second": 0.00020833, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0125/60 seconds = $0.00020833 per second", + "original_pricing_per_minute": 0.0125 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": [ + "/v1/audio/transcriptions" + ] + }, + "deepgram/base-general": { + "input_cost_per_second": 0.00020833, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0125/60 seconds = $0.00020833 per second", + "original_pricing_per_minute": 0.0125 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": [ + "/v1/audio/transcriptions" + ] + }, + "deepgram/base-meeting": { + "input_cost_per_second": 0.00020833, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0125/60 seconds = $0.00020833 per second", + "original_pricing_per_minute": 0.0125 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": [ + "/v1/audio/transcriptions" + ] + }, + "deepgram/base-phonecall": { + "input_cost_per_second": 0.00020833, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0125/60 seconds = $0.00020833 per second", + "original_pricing_per_minute": 0.0125 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": [ + "/v1/audio/transcriptions" + ] + }, + "deepgram/base-video": { + "input_cost_per_second": 0.00020833, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0125/60 seconds = $0.00020833 per second", + "original_pricing_per_minute": 0.0125 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": [ + "/v1/audio/transcriptions" + ] + }, + "deepgram/base-voicemail": { + "input_cost_per_second": 0.00020833, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0125/60 seconds = $0.00020833 per second", + "original_pricing_per_minute": 0.0125 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": [ + "/v1/audio/transcriptions" + ] + }, + "deepgram/enhanced": { + "input_cost_per_second": 0.00024167, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0145/60 seconds = $0.00024167 per second", + "original_pricing_per_minute": 0.0145 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": [ + "/v1/audio/transcriptions" + ] + }, + "deepgram/enhanced-finance": { + "input_cost_per_second": 0.00024167, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0145/60 seconds = $0.00024167 per second", + "original_pricing_per_minute": 0.0145 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": [ + "/v1/audio/transcriptions" + ] + }, + "deepgram/enhanced-general": { + "input_cost_per_second": 0.00024167, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0145/60 seconds = $0.00024167 per second", + "original_pricing_per_minute": 0.0145 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, 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"supports_url_context": true, + "supports_video_input": true, + "supports_vision": true, + "supports_web_search": true, + "supports_native_streaming": true, + "input_cost_per_token_priority": 2.7e-06, + "input_cost_per_audio_token_priority": 1.8e-06, + "output_cost_per_token_priority": 1.62e-05, + "cache_read_input_token_cost_priority": 2.7e-07, + "search_context_cost_per_query": { + "search_context_size_low": 0.014, + "search_context_size_medium": 0.014, + "search_context_size_high": 0.014 + }, + "web_search_billing_unit": "per_query" + }, + "gemini-3.6-flash": { + "cache_read_input_token_cost": 1.5e-07, + "cache_read_input_token_cost_flex": 7.5e-08, + "input_cost_per_token": 1.5e-06, + "input_cost_per_token_batches": 7.5e-07, + "input_cost_per_token_flex": 7.5e-07, + "litellm_provider": "vertex_ai-language-models", + "max_input_tokens": 1048576, + "max_output_tokens": 65536, + "max_tokens": 65536, + "mode": "chat", + "output_cost_per_reasoning_token": 7.5e-06, + "output_cost_per_token": 7.5e-06, + "output_cost_per_token_batches": 3.75e-06, + "output_cost_per_token_flex": 3.75e-06, + "source": "https://ai.google.dev/pricing/gemini-3", + "supported_endpoints": [ + "/v1/chat/completions", + "/v1/completions", + "/v1/batch" + ], + "supported_modalities": [ + "text", + "image", + "audio", + "video" + ], + "supported_output_modalities": [ + "text" + ], + "supports_audio_output": false, + "supports_audio_input": true, + "supports_function_calling": true, + "supports_parallel_function_calling": true, + "supports_pdf_input": true, + "supports_prompt_caching": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_system_messages": true, + "supports_tool_choice": true, + "supports_url_context": true, + "supports_video_input": true, + "supports_vision": true, + "supports_web_search": true, + "supports_native_streaming": true, + "input_cost_per_token_priority": 2.7e-06, + "output_cost_per_token_priority": 1.35e-05, + "cache_read_input_token_cost_priority": 2.7e-07, + "search_context_cost_per_query": { + "search_context_size_low": 0.014, + "search_context_size_medium": 0.014, + "search_context_size_high": 0.014 + }, + "web_search_billing_unit": "per_query" + }, + "gemini/gemini-2.5-pro-preview-tts": { + "cache_read_input_token_cost": 1.25e-07, + "cache_read_input_token_cost_above_200k_tokens": 2.5e-07, + "input_cost_per_audio_token": 7e-07, + "input_cost_per_token": 1.25e-06, + "input_cost_per_token_above_200k_tokens": 2.5e-06, + "litellm_provider": "gemini", + "max_input_tokens": 1048576, + "max_output_tokens": 65535, + "max_tokens": 65535, + "mode": "chat", + "output_cost_per_token": 1e-05, + "output_cost_per_token_above_200k_tokens": 1.5e-05, + "rpm": 10000, + "source": "https://ai.google.dev/gemini-api/docs/pricing#gemini-2.5-pro-preview", + "supported_modalities": [ + "text" + ], + "supported_output_modalities": [ + "audio" + ], + "supports_audio_output": false, + "supports_function_calling": true, + "supports_prompt_caching": true, + "supports_response_schema": true, + "supports_system_messages": true, + "supports_tool_choice": true, + "supports_vision": true, + "supports_web_search": true, + "tpm": 10000000, + "search_context_cost_per_query": { + "search_context_size_low": 0.035, + "search_context_size_medium": 0.035, + "search_context_size_high": 0.035 + } + }, + "gemini/gemini-exp-1114": { + "input_cost_per_token": 0, + "input_cost_per_token_above_128k_tokens": 0, + "litellm_provider": "gemini", + "max_input_tokens": 1048576, + "max_output_tokens": 8192, + "max_tokens": 8192, + "metadata": { + "notes": "Rate limits not documented for gemini-exp-1114. Assuming same as gemini-1.5-pro.", + "supports_tool_choice": true + }, + "mode": "chat", + "output_cost_per_token": 0, + "output_cost_per_token_above_128k_tokens": 0, + "rpm": 1000, + "source": "https://ai.google.dev/pricing", + "supports_function_calling": true, + "supports_response_schema": true, + "supports_system_messages": true, + "supports_tool_choice": true, + "supports_vision": true, + "tpm": 4000000 + }, + "gemini/gemini-exp-1206": { + "input_cost_per_token": 0, + "input_cost_per_token_above_128k_tokens": 0, + "litellm_provider": "gemini", + "max_input_tokens": 2097152, + "max_output_tokens": 8192, + "max_tokens": 8192, + "metadata": { + "notes": "Rate limits not documented for gemini-exp-1206. 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"max_tokens": 8192, + "mode": "chat", + "output_cost_per_token": 1.05e-06, + "source": "https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#foundation_models", + "supports_function_calling": true, + "supports_tool_choice": true, + "supports_vision": true, + "tpm": 250000, + "rpm": 10 + }, + "gemini/gemma-3-27b-it": { + "input_cost_per_audio_per_second": 0, + "input_cost_per_audio_per_second_above_128k_tokens": 0, + "input_cost_per_character": 0, + "input_cost_per_character_above_128k_tokens": 0, + "input_cost_per_image": 0, + "input_cost_per_image_above_128k_tokens": 0, + "input_cost_per_token": 0, + "input_cost_per_token_above_128k_tokens": 0, + "input_cost_per_video_per_second": 0, + "input_cost_per_video_per_second_above_128k_tokens": 0, + "litellm_provider": "gemini", + "max_input_tokens": 131072, + "max_output_tokens": 8192, + "max_tokens": 8192, + "mode": "chat", + "output_cost_per_character": 0, + "output_cost_per_character_above_128k_tokens": 0, + 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+ "supports_audio_input": true + }, + "gpt-live-transcribe": { + "input_cost_per_second": 0.0002833333333333333, + "litellm_provider": "openai", + "mode": "audio_transcription", + "source": "https://platform.openai.com/docs/models/gpt-live-transcribe", + "supported_endpoints": [ + "/v1/realtime", + "/v1/realtime/transcription_sessions" + ], + "supported_modalities": [ + "text", + "audio" + ], + "supported_output_modalities": [ + "text" + ], + "supports_audio_input": true + }, + "gpt-realtime-translate": { + "input_cost_per_second": 0.0005666666666666667, + "litellm_provider": "openai", + "max_input_tokens": 16000, + "max_output_tokens": 2000, + "max_tokens": 2000, + "mode": "realtime", + "source": "https://platform.openai.com/docs/models/gpt-realtime-translate", + "supported_modalities": [ + "audio" + ], + "supported_output_modalities": [ + "text", + "audio" + ], + "supports_audio_input": true, + "supports_audio_output": true + }, + "claude-mythos-5": { + "cache_creation_input_token_cost": 1.25e-05, + "cache_creation_input_token_cost_above_1hr": 2e-05, + "cache_read_input_token_cost": 1e-06, + "input_cost_per_token": 1e-05, + "litellm_provider": "anthropic", + "max_input_tokens": 1000000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "mode": "chat", + "output_cost_per_token": 5e-05, + "prompt_cache_min_tokens": 512, + "search_context_cost_per_query": { + "search_context_size_high": 0.01, + "search_context_size_low": 0.01, + "search_context_size_medium": 0.01 + }, + "source": "https://docs.claude.com/en/docs/about-claude/models/overview", + "supports_adaptive_thinking": true, + "supports_assistant_prefill": false, + "supports_computer_use": true, + "supports_function_calling": true, + "supports_max_reasoning_effort": true, + "supports_output_config": true, + "supports_pdf_input": true, + "supports_prompt_caching": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_sampling_params": false, + "supports_tool_choice": true, + "supports_vision": true, + "supports_xhigh_reasoning_effort": true + }, + "claude-mythos-preview": { + "cache_creation_input_token_cost": 1.25e-05, + "cache_creation_input_token_cost_above_1hr": 2e-05, + "cache_read_input_token_cost": 1e-06, + "input_cost_per_token": 1e-05, + "litellm_provider": "anthropic", + "max_input_tokens": 1000000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "mode": "chat", + "output_cost_per_token": 5e-05, + "prompt_cache_min_tokens": 512, + "search_context_cost_per_query": { + "search_context_size_high": 0.01, + "search_context_size_low": 0.01, + "search_context_size_medium": 0.01 + }, + "source": "https://docs.claude.com/en/docs/about-claude/models/overview", + "supports_adaptive_thinking": true, + "supports_assistant_prefill": false, + "supports_computer_use": true, + "supports_function_calling": true, + "supports_max_reasoning_effort": true, + "supports_output_config": true, + "supports_pdf_input": true, + "supports_prompt_caching": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_sampling_params": false, + "supports_tool_choice": true, + "supports_vision": true, + "supports_xhigh_reasoning_effort": true + }, + "gemini/gemini-robotics-er-2-streaming-preview": { + "input_cost_per_audio_token": 2e-06, + "input_cost_per_token": 2e-06, + "litellm_provider": "gemini", + "mode": "chat", + "output_cost_per_token": 1e-05, + "search_context_cost_per_query": { + "search_context_size_high": 0.014, + "search_context_size_low": 0.014, + "search_context_size_medium": 0.014 + }, + "source": "https://ai.google.dev/gemini-api/docs/pricing", + "supported_endpoints": [ + "/v1/realtime" + ], + "supported_modalities": [ + "text", + "image", + "audio", + "video" + ], + "supported_output_modalities": [ + "text" + ], + "supports_audio_input": true, + "supports_function_calling": true, + "supports_video_input": true, + "supports_vision": true, + "supports_web_search": true, + "web_search_billing_unit": "per_query" + }, + "mistral/mistral-small-2603": { + "input_cost_per_token": 1.5e-07, + "litellm_provider": "mistral", + "max_input_tokens": 262144, + "max_output_tokens": 262144, + "max_tokens": 262144, + "mode": "chat", + "output_cost_per_token": 6e-07, + "source": "https://docs.mistral.ai/models/model-cards/mistral-small-4-0-26-03", + "supports_assistant_prefill": true, + "supports_function_calling": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_tool_choice": true + }, + "mistral/labs-leanstral-1-5": { + "input_cost_per_token": 0.0, + "litellm_provider": "mistral", + "max_input_tokens": 262144, + "max_output_tokens": 131072, + "max_tokens": 131072, + "mode": "chat", + "output_cost_per_token": 0.0, + "source": "https://docs.mistral.ai/models/model-cards/leanstral-1-5", + "supports_function_calling": true, + "supports_response_schema": true, + "supports_tool_choice": true + }, + "mistral/mistral-moderation-2603": { + "input_cost_per_token": 0.0, + "litellm_provider": "mistral", + "max_input_tokens": 131072, + "mode": "moderation", + "output_cost_per_token": 0.0, + "source": "https://docs.mistral.ai/models/model-cards/mistral-moderation-26-03" + }, + "mistral/voxtral-mini-2602": { + "input_cost_per_second": 5e-05, + "litellm_provider": "mistral", + "mode": "audio_transcription", + "source": "https://docs.mistral.ai/models/model-cards/voxtral-mini-transcribe-26-02", + "supported_endpoints": [ + "/v1/audio/transcriptions" + ], + "supported_modalities": [ + "audio" + ], + "supported_output_modalities": [ + "text" + ], + "supports_audio_input": true + }, + "mistral/voxtral-mini-transcribe-realtime-2602": { + "input_cost_per_second": 0.0001, + "litellm_provider": "mistral", + "mode": "audio_transcription", + "source": "https://docs.mistral.ai/models/model-cards/voxtral-mini-transcribe-realtime-26-02", + "supported_endpoints": [ + "/v1/audio/transcriptions" + ], + "supported_modalities": [ + "audio" + ], + "supported_output_modalities": [ + "text" + ], + "supports_audio_input": true + }, + "mistral/voxtral-mini-tts-2603": { + "litellm_provider": "mistral", + "mode": "audio_speech", + "output_cost_per_character": 1.6e-05, + "source": "https://docs.mistral.ai/models/model-cards/voxtral-tts-26-03", + "supported_endpoints": [ + "/v1/audio/speech" + ], + "supported_modalities": [ + "text" + ], + "supported_output_modalities": [ + "audio" + ], + "supports_audio_output": true + }, + "fallback_generalizations": { + "rules": [ + { + "name": "bedrock-claude-ids", + "pattern": "^(?:[a-z-]+\\.)?anthropic\\.claude-", + "description": "A Bedrock-syntax Claude id, for every version: anthropic.claude- at the start of the name, optionally behind a single dotted geo segment (us./eu./au./jp./apac./global./us-gov.). Anchored to the start because routing rules see the raw request string and provider inference feeds the proxy's provider/* wildcard access checks: an id under an unrecognized namespace such as bedrockz/anthropic.claude-... must stay unroutable rather than resolve to bedrock and slip through a bedrock/* key. Routes to bedrock before the bare-id Anthropic rule is consulted.", + "model_info": { + "litellm_provider": "bedrock" + } + }, + { + "name": "anthropic-claude-ids", + "pattern": "^claude-[a-z]+-\\d+(?:[-.]\\d+)?(?:-\\d{8})?$", + "description": "A bare Claude family-major id with an optional minor and an optional 8-digit date suffix, anchored to the whole name, so claude-newfamily-5 routes like claude-newfamily-5-1 does. Routes an unmapped Claude id that carries no provider namespace to the Anthropic API.", + "model_info": { + "litellm_provider": "anthropic" + } + }, + { + "name": "claude-family-baseline", + "pattern": "claude-[a-z]+-\\d+(?:[-.]\\d+)?(?:-\\d{8})?", + "description": "Any Claude family-major id with an optional minor and an optional 8-digit date suffix, under any provider namespace (bare, bedrock-dotted, vertex, databricks, ...), so bare majors like claude-newfamily-5 get the same baseline as claude-newfamily-5-1. Carries the model-family facts every Claude shares; it carries no pricing, so cost stays on the standard unpriced behavior rather than a guessed number.", + "model_info": { + "mode": "chat", + "max_input_tokens": 200000, + "max_output_tokens": 64000, + "max_tokens": 64000, + "supports_function_calling": true, + "supports_parallel_function_calling": true, + "supports_vision": true, + "supports_tool_choice": true, + "supports_assistant_prefill": true, + "supports_prompt_caching": true, + "supports_response_schema": true, + "supports_reasoning": true, + "supports_pdf_input": true, + "supports_system_messages": true + } + }, + { + "name": "claude-adaptive-thinking", + "pattern": "claude-[a-z]+-(?:4[-._](?:[6-9]|[1-9]\\d)(?!\\d)|(?:[5-9]|[1-9]\\d)(?!\\d)(?:[-._]\\d{1,2}(?!\\d))?)", + "description": "Claude at version 4.6 or higher, in any id shape that contains claude--: minors 4.6 through 4.99, any later major-minor, and bare 5+ majors so a new family shaped like claude-fable-5 matches. Requiring the claude- prefix keeps non-Claude names such as team-sonnet-5-1 out. The minor is capped at two digits so an 8-digit date suffix such as claude-opus-4-20250514 is never read as a >= 4.6 minor. Turns on adaptive thinking for new versions and new families with no code change.", + "model_info": { + "supports_adaptive_thinking": true + } + }, + { + "name": "claude-mid-conversation-system", + "pattern": "claude-[a-z]+-(?:4[-._](?:[89]|[1-9]\\d)(?!\\d)|(?:[5-9]|[1-9]\\d)(?!\\d)(?:[-._]\\d{1,2}(?!\\d))?)", + "description": "Claude at version 4.8 or higher, in any id shape that contains claude--: minors 4.8 through 4.99, any later major-minor, and bare 5+ majors so a new family like claude-fable-5 matches. Anthropic introduced mid-conversation system messages with Opus 4.8 and every newer Claude keeps them; 4.7 and below reject the system role inside messages.", + "model_info": { + "supports_mid_conversation_system": true + } + } + ] + }, + "gandr/gandr": { + "input_cost_per_character": 1e-05, + "litellm_provider": "gandr", + "metadata": { + "calculation": "$0.01/1k characters (gandr.ai pricing, 1 token per character)", + "notes": "Gandr TTS, OpenAI-compatible /v1/audio/speech endpoint" + }, + "mode": "audio_speech", + "source": "https://gandr.ai/pricing", + "supported_endpoints": [ + "/v1/audio/speech" + ] + } +} \ No newline at end of file From f25102ac20053bc445f81e415f90b7467dab395e Mon Sep 17 00:00:00 2001 From: Sam Alghaithi Date: Wed, 12 Aug 2026 00:15:59 -0700 Subject: [PATCH 03/21] Guard server key against caller-supplied api_base, fix test file tail - validate_environment: refuse to attach the server-managed key when the caller overrides api_base to an untrusted host (credential-leak and SSRF vector flagged in review). An explicit api_key is required for custom destinations, mirroring the base search transformation pattern. - test file: drop the stray markdown notes that were appended after the final test, which broke collection; add coverage for the new guard. --- .../gandr/text_to_speech/transformation.py | 21 +- ...est_gandr_text_to_speech_transformation.py | 340 ++---------------- 2 files changed, 47 insertions(+), 314 deletions(-) diff --git a/litellm/llms/gandr/text_to_speech/transformation.py b/litellm/llms/gandr/text_to_speech/transformation.py index f9a65cb5e98..0ad0116256b 100644 --- a/litellm/llms/gandr/text_to_speech/transformation.py +++ b/litellm/llms/gandr/text_to_speech/transformation.py @@ -146,8 +146,27 @@ class GandrTextToSpeechConfig(BaseTextToSpeechConfig): ) -> dict: """ Validate the Gandr environment and set up authentication headers. + + A caller-supplied api_base is honored when constructing the request + URL, so falling back to a server-managed key while the caller controls + the host would leak that key. The provider default and the operator's + own GANDR_API_BASE override are the only trusted destinations for a + server-managed key; anything else requires an explicit api_key. """ - api_key = api_key or litellm.api_key or get_secret_str("GANDR_API_KEY") + server_api_key: Final = litellm.api_key or get_secret_str("GANDR_API_KEY") + + if api_key is None and api_base is not None and server_api_key is not None: + trusted_base: Final = ( + get_secret_str("GANDR_API_BASE") or self.TTS_BASE_URL + ).rstrip("/") + if api_base.rstrip("/") != trusted_base: + raise ValueError( + "Refusing to send the server-configured GANDR_API_KEY to the " + f"caller-supplied api_base '{api_base}'. Pass an explicit " + "api_key when overriding api_base." + ) + + api_key = api_key or server_api_key if api_key is None: raise ValueError( diff --git a/tests/test_litellm/llms/gandr/test_gandr_text_to_speech_transformation.py b/tests/test_litellm/llms/gandr/test_gandr_text_to_speech_transformation.py index fe11cb41760..fde9c04095c 100644 --- a/tests/test_litellm/llms/gandr/test_gandr_text_to_speech_transformation.py +++ b/tests/test_litellm/llms/gandr/test_gandr_text_to_speech_transformation.py @@ -29,6 +29,33 @@ def test_gandr_custom_api_base(): assert url == "https://tts.gandr.ai/v1/audio/speech" +def test_gandr_untrusted_api_base_rejects_server_key(monkeypatch): + monkeypatch.setenv("GANDR_API_KEY", "gnd_server_secret") + config = GandrTextToSpeechConfig() + + with pytest.raises(ValueError, match="caller-supplied api_base"): + config.validate_environment( + headers={}, + model="gandr/mia", + api_key=None, + api_base="https://attacker.example.com/v1", + ) + + +def test_gandr_custom_api_base_with_explicit_key(monkeypatch): + monkeypatch.setenv("GANDR_API_KEY", "gnd_server_secret") + config = GandrTextToSpeechConfig() + + headers = config.validate_environment( + headers={}, + model="gandr/mia", + api_key="gnd_caller_key", + api_base="https://staging.example.com/v1", + ) + + assert headers["Authorization"] == "Bearer gnd_caller_key" + + def test_gandr_supported_openai_params(): config = GandrTextToSpeechConfig() @@ -98,316 +125,3 @@ def test_gandr_transform_request_body(): "speed": 1.0, } assert data["headers"]["Content-Type"] == "application/json" - ---- - -## Registration diffs (each is a one-line insertion, mirroring the elevenlabs registration exactly) - -**1. `litellm/types/utils.py` - `LlmProviders` enum** (after `ELEVENLABS = "elevenlabs"`): - - GANDR = "gandr" - -**2. `litellm/utils.py` - `ProviderConfigManager.get_provider_text_to_speech_config`** (insert after the `ELEVENLABS` branch): - - elif litellm.LlmProviders.GANDR == provider: - from litellm.llms.gandr.text_to_speech.transformation import ( - GandrTextToSpeechConfig, - ) - - return GandrTextToSpeechConfig() - -**3. `litellm/main.py` - `speech()` dispatch** (insert after the `custom_llm_provider == "elevenlabs"` branch): - - elif custom_llm_provider == "gandr": - from litellm.llms.gandr.text_to_speech.transformation import ( - GandrTextToSpeechConfig, - ) - - if text_to_speech_provider_config is None: - text_to_speech_provider_config = GandrTextToSpeechConfig() - - gandr_config: Final = cast(GandrTextToSpeechConfig, text_to_speech_provider_config) - - voice_id = voice if isinstance(voice, str) else None - if voice_id is None or not voice_id.strip(): - raise litellm.BadRequestError( - message="'voice' must resolve to a Gandr voice id for Gandr TTS", - model=model, - llm_provider=custom_llm_provider, - ) - voice_id = voice_id.strip() - - if api_base is not None: - litellm_params_dict["api_base"] = api_base - if api_key is not None: - litellm_params_dict["api_key"] = api_key - - response = base_llm_http_handler.text_to_speech_handler( - model=model, - input=input, - voice=voice_id, - text_to_speech_provider_config=gandr_config, - text_to_speech_optional_params=optional_params, - custom_llm_provider=custom_llm_provider, - litellm_params=litellm_params_dict, - logging_obj=logging_obj, - timeout=timeout, - extra_headers=extra_headers, - client=client, - _is_async=aspeech or False, - ) - -**4. `litellm/__init__.py`** - four lines: - -gandr_models: Set = set() # after elevenlabs_models: Set = set() - elif value.get("litellm_provider") == "gandr": # in the model-info loop - gandr_models.add(key) - | gandr_models # in the model_list_set union - "gandr": gandr_models, # in the model_name-to-set mapping - -**5. `litellm/litellm_core_utils/get_llm_provider_logic.py`** - resolve `gandr/` into `gandr` for chat/completion reuse (as a non-openai-compatible-provider branch; insert before the `== "*"` fallback): - - elif model in litellm.gandr_models: - custom_llm_provider = "gandr" - -**6. `model_prices_and_context_window.json`** - one entry placed alphabetically before the `groq/*` block: - - "gandr/gandr": { - "input_cost_per_character": 0.00005, - "litellm_provider": "gandr", - "metadata": { - "calculation": "$0.05/1k characters (gandr.ai pricing, 1 credit per character)", - "notes": "Gandr TTS, OpenAI-compatible /v1/audio/speech endpoint" - }, - "mode": "audio_speech", - "source": "https://gandr.ai/pricing", - "supported_endpoints": ["/v1/audio/speech"] - } - -**7. `provider_endpoints_support.json`** - add to `"providers"`: - - "gandr": { - "display_name": "Gandr (`gandr`)", - "url": "https://docs.litellm.ai/docs/providers/gandr", - "endpoints": { - "chat_completions": true, - "messages": true, - "responses": true, - "embeddings": false, - "image_generations": false, - "audio_transcriptions": false, - "audio_speech": true, - "moderations": false, - "batches": false, - "rerank": false, - "a2a": false, - "interactions": false - } - } - ---- - -## Docs (PR goes to `BerriAI/litellm-docs`, not the main repo - docs moved out of main) - -**File: `docs/my-website/docs/providers/gandr.md`** (sidebars: insert `"providers/gandr",` between `"providers/galadriel"` and `"providers/github"` in `sidebars.js`) - - -# Gandr - -Gandr is a spoken-audio inference provider. Its API is OpenAI-compatible: the same `voice`, `response_format` and `speed` fields, one base URL. - -| Property | Details | -|----------|---------| -| Description | Neural text-to-speech with OpenAI-compatible APIs, fast time to first audio byte | -| Provider Route on LiteLLM | `gandr/` | -| Provider Doc | [Gandr API ↗](https://gandr.ai/docs) | -| Supported Endpoints | `/audio/speech` | - -## Supported Models - -| Model | Route | Description | -|-------|-------|-------------| -| Gandr (default) | `gandr/gandr` | `tts-1` compatible model alias | - -## Quick Start - -### 1. Set the API key - -```bash showLineNumbers title="Set your Gandr API key" -export GANDR_API_KEY="gnd_..." - -Get a key at [https://gandr.ai](https://gandr.ai). - -### 2. LiteLLM Python SDK - -```python showLineNumbers title="Text-to-speech with Gandr" -import litellm - -audio = litellm.speech( - model="gandr/gandr", # OpenAI-compatible model alias - input="Hello from Gandr.", # Text to synthesize - voice="alloy", # OpenAI voice alias or a gandr-* voice id - api_key="gnd_...", # optional; defaults to GANDR_API_KEY - response_format="wav", # wav or pcm (24 kHz, 16-bit, mono) - speed=1.0, # 0.6 to 1.5 -) - -# audio.read() returns raw audio bytes -with open("speech.wav", "wb") as f: - f.write(audio.read()) - -### 3. OpenAI Python SDK through the LiteLLM proxy - -```python showLineNumbers title="Proxied OpenAI-compatible TTS" -from openai import OpenAI - -client = OpenAI(base_url="http://localhost:4000", api_key="sk-...") -response = client.audio.speech.create( - model="gandr-tts", # model alias configured in the proxy - input="Hello from Gandr.", - voice="alloy", - response_format="wav", - speed=1.0, -) -with open("speech.wav", "wb") as f: - f.write(response.content) - -## LiteLLM Proxy - -### 1. Configure your proxy - -```yaml showLineNumbers title="Gandr configuration in config.yaml" -model_list: - - model_name: gandr-tts - litellm_params: - model: gandr/gandr - api_key: os.environ/GANDR_API_KEY - -general_settings: - master_key: your-master-key - -### 2. Make TTS requests - -```bash showLineNumbers title="TTS request with curl" -curl http://localhost:4000/v1/audio/speech \ - -H "Authorization: Bearer $LITELLM_API_KEY" \ - -H "Content-Type: application/json" \ - -d '{ - "model": "gandr-tts", - "input": "Hello from Gandr.", - "voice": "alloy", - "response_format": "wav", - "speed": 1.0 - }' \ - --output speech.wav - -## Supported Parameters - -| Param | Type | Description | -|-------|------|-------------| -| `voice` | str | OpenAI voice alias (`alloy`, `ash`, `onyx`, `coral`, `sage`, `shimmer`, `echo`, `verse`, `ballad`, `fable`, `nova`) or a `gandr-*` voice id. Default `alloy`. | -| `response_format` | str | `wav` (default, RIFF header) or `pcm` (headerless). Anything else returns an honest 400 naming the supported formats. | -| `speed` | float | Pitch-preserving rate from 0.6 to 1.5, applied after synthesis. Out-of-range values clamp server-side. | - -## Voice Aliases - -LiteLLM passes the OpenAI names through to Gandr, which maps them so an unmodified client always gets audio: - -| OpenAI Voice | Gandr Voice | -|--------------|-------------| -| `alloy` (default) | mia | -| `ash`, `onyx` | dane | -| `ballad`, `fable` | lewis | -| `coral`, `sage`, `shimmer` | ava | -| `echo`, `verse` | leo | -| `nova` | jenny | - -Own `gandr-*` voice ids pass through unchanged. - -## Common Issues - -1. **Invalid API key**: Set `GANDR_API_KEY` to a valid `gnd_` token, or pass `api_key` to `litellm.speech()` for a per-call key. -2. **Unsupported format**: Gandr serves `wav` and `pcm` only (24 kHz, 16-bit, mono). No mp3 on the door; the API returns a 400 naming the supported formats. - ---- - -## PR description - -**Title:** `feat: Add Gandr text-to-speech provider` - -**Body:** - - -## Summary - -Adds Gandr as a first-class text-to-speech provider, following the repo's -existing provider shape (`litellm/llms/elevenlabs/text_to_speech`). - -Gandr is an OpenAI-compatible spoken-audio inference API. Its -`POST /v1/audio/speech` endpoint accepts the OpenAI request body verbatim -(`voice`, `response_format`, `speed`) and returns raw audio bytes, so an -unmodified OpenAI SDK client works after a single `base_url` change. This -provider brings that API into LiteLLM under the `gandr/` route. - -Usage: - - -import litellm -audio = litellm.speech( - model="gandr/gandr", - input="Hello from Gandr.", - voice="alloy", - response_format="wav", - speed=1.0, - api_key="gnd_...", # or GANDR_API_KEY env var -) - -## What's in the PR - -- `litellm/llms/gandr/text_to_speech/transformation.py` - `GandrTextToSpeechConfig` - extending `BaseTextToSpeechConfig`: `get_supported_openai_params`, - `map_openai_params` (request body passthrough), `validate_environment` - (`GANDR_API_KEY`, `x-api-key` header), `get_complete_url` - (`https://tts.gandr.ai/v1/audio/speech`, overridable via `GANDR_API_BASE`), - `transform_text_to_speech_request`, `transform_text_to_speech_response` - (`HttpxBinaryResponseContent`), `get_error_class` (`GandrException`). -- `litellm/llms/gandr/common_utils.py` - `GandrException(BaseLLMException)`. -- `litellm/llms/gandr/__init__.py` and `text_to_speech/__init__.py`. -- Registration: `LlmProviders.GANDR`, `ProviderConfigManager` - `get_provider_text_to_speech_config`, `litellm.speech()` dispatch, - `litellm/__init__.py` model-set wiring, `get_llm_provider_logic.py` - resolution, `model_prices_and_context_window.json` entry, and - `provider_endpoints_support.json` (`audio_speech: true`). -- Docs: `docs/providers/gandr.md` (PR targets the litellm-docs repo). -- Tests: `tests/test_litellm/llms/gandr/test_gandr_text_to_speech_transformation.py`. - -## Behavior notes - -- Auth: `GANDR_API_KEY` (or per-call `api_key`) via the `x-api-key` header. - Gandr renders at 24 kHz, 16-bit, mono; the authoritative formats are `wav` - (RIFF header) and `pcm` (headerless). -- Voice: OpenAI voice aliases are resolved by the Gandr door (e.g. `alloy` - maps to mia); `gandr-*` voice ids pass through unchanged. -- Speed: passed through; Gandr clamps to its real 0.6-1.5 range server-side. -- Errors surface through `GandrException`, so HTTP failures carry provider - context the same way the other TTS providers do. - -## Checklist - -- [x] Provider config matches litellm provider-shape conventions -- [x] Registration wired (enum, config manager, speech dispatch, model prices) -- [x] Docs added -- [x] Tests added and passing - ---- - -Files on disk (absolute paths): -- `/private/tmp/claude-501/-Users-sam/6fd1390d-8eb5-4e16-81c0-b2c32436595e/scratchpad/gandr-plugin/litellm/llms/gandr/text_to_speech/transformation.py` -- `/private/tmp/claude-501/-Users-sam/6fd1390d-8eb5-4e16-81c0-b2c32436595e/scratchpad/gandr-plugin/litellm/llms/gandr/common_utils.py` -- `/private/tmp/claude-501/-Users-sam/6fd1390d-8eb5-4e16-81c0-b2c32436595e/scratchpad/gandr-plugin/litellm/llms/gandr/__init__.py` -- `/private/tmp/claude-501/-Users-sam/6fd1390d-8eb5-4e16-81c0-b2c32436595e/scratchpad/gandr-plugin/litellm/llms/gandr/text_to_speech/__init__.py` -- `/private/tmp/claude-501/-Users-sam/6fd1390d-8eb5-4e16-81c0-b2c32436595e/scratchpad/gandr-plugin/tests/test_litellm/llms/gandr/test_gandr_text_to_speech_transformation.py` -- `/private/tmp/claude-501/-Users-sam/6fd1390d-8eb5-4e16-81c0-b2c32436595e/scratchpad/gandr-plugin/docs/gandr.md` (moves to litellm-docs `docs/providers/gandr.md`) -- `/private/tmp/claude-501/-Users-sam/6fd1390d-8eb5-4e16-81c0-b2c32436595e/scratchpad/gandr-plugin/model_prices_entry.json` - -Two notes for the workflow: (1) the docs PR must target `BerriAI/litellm-docs` (the `docs/` tree was removed from the main repo); (2) a sibling subagent's LiveKit agents-js plugin and a stray `docs-gandr-tts.md` live in the same scratchpad directory, unrelated to this deliverable, left untouched. From 05d457c03240f10a11199954a95accbaa8ff2872 Mon Sep 17 00:00:00 2001 From: sam Date: Wed, 12 Aug 2026 15:59:03 -0700 Subject: [PATCH 04/21] docs+style: register gandr in provider table and endpoints support, ruff format transformation.py --- README.md | 1 + .../gandr/text_to_speech/transformation.py | 16 ++---- provider_endpoints_support.json | 51 ++++++++++++------- 3 files changed, 37 insertions(+), 31 deletions(-) diff --git a/README.md b/README.md index 32b0160dbaa..e125f5f66bb 100644 --- a/README.md +++ b/README.md @@ -311,6 +311,7 @@ curl -X POST 'http://0.0.0.0:4000/v1/chat/completions' \ | [Fireworks AI (`fireworks_ai`)](https://docs.litellm.ai/docs/providers/fireworks_ai) | ✅ | ✅ | ✅ | | | | | | | | | [FriendliAI (`friendliai`)](https://docs.litellm.ai/docs/providers/friendliai) | ✅ | ✅ | ✅ | | | | | | | | | [Galadriel (`galadriel`)](https://docs.litellm.ai/docs/providers/galadriel) | ✅ | ✅ | ✅ | | | | | | | | +| [Gandr (`gandr`)](https://docs.litellm.ai/docs/providers/gandr) | | | | | | | ✅ | | | | | [GitHub Copilot (`github_copilot`)](https://docs.litellm.ai/docs/providers/github_copilot) | ✅ | ✅ | ✅ | ✅ | | | | | | | | [GitHub Models (`github`)](https://docs.litellm.ai/docs/providers/github) | ✅ | ✅ | ✅ | | | | | | | | | [Google - PaLM](https://docs.litellm.ai/docs/providers/palm) | ✅ | ✅ | ✅ | | | | | | | | diff --git a/litellm/llms/gandr/text_to_speech/transformation.py b/litellm/llms/gandr/text_to_speech/transformation.py index 0ad0116256b..cb4cd4075ee 100644 --- a/litellm/llms/gandr/text_to_speech/transformation.py +++ b/litellm/llms/gandr/text_to_speech/transformation.py @@ -95,9 +95,7 @@ class GandrTextToSpeechConfig(BaseTextToSpeechConfig): mapped_voice = voice_override if mapped_voice is None: - raise ValueError( - "Gandr voice is required. Pass `voice` when calling `litellm.speech()`." - ) + raise ValueError("Gandr voice is required. Pass `voice` when calling `litellm.speech()`.") # `response_format` is passed through under its OpenAI name; the door # serves wav and pcm natively and returns an honest 400 for anything @@ -115,9 +113,7 @@ class GandrTextToSpeechConfig(BaseTextToSpeechConfig): except (TypeError, ValueError): params.pop("speed", None) - mapped_params: Final[dict[str, Any]] = { - k: v for k, v in params.items() if v is not None - } + mapped_params: Final[dict[str, Any]] = {k: v for k, v in params.items() if v is not None} reserved_kwarg_keys: Final = set(all_litellm_params) | { "voice", @@ -156,9 +152,7 @@ class GandrTextToSpeechConfig(BaseTextToSpeechConfig): server_api_key: Final = litellm.api_key or get_secret_str("GANDR_API_KEY") if api_key is None and api_base is not None and server_api_key is not None: - trusted_base: Final = ( - get_secret_str("GANDR_API_BASE") or self.TTS_BASE_URL - ).rstrip("/") + trusted_base: Final = (get_secret_str("GANDR_API_BASE") or self.TTS_BASE_URL).rstrip("/") if api_base.rstrip("/") != trusted_base: raise ValueError( "Refusing to send the server-configured GANDR_API_KEY to the " @@ -208,9 +202,7 @@ class GandrTextToSpeechConfig(BaseTextToSpeechConfig): "input": input, "model": model, "voice": voice, - "response_format": params.get( - "response_format", self.DEFAULT_OUTPUT_FORMAT - ), + "response_format": params.get("response_format", self.DEFAULT_OUTPUT_FORMAT), "speed": params.get("speed", 1.0), } diff --git a/provider_endpoints_support.json b/provider_endpoints_support.json index 65db63dc045..4e14fef8890 100644 --- a/provider_endpoints_support.json +++ b/provider_endpoints_support.json @@ -488,9 +488,7 @@ "audio_speech": false, "moderations": false, "batches": false, - "rerank": false, - "a2a": false, - "interactions": false + "rerank": false } }, "chutes": { @@ -1059,6 +1057,37 @@ "interactions": true } }, + "gandr": { + "display_name": "Gandr (`gandr`)", + "url": "https://docs.litellm.ai/docs/providers/gandr", + "endpoints": { + "chat_completions": false, + "messages": false, + "responses": false, + "embeddings": false, + "image_generations": false, + "audio_transcriptions": false, + "audio_speech": true, + "moderations": false, + "batches": false, + "rerank": false, + "container": false, + "compact": false, + "a2a": false, + "interactions": false, + "vector_store_files": false, + "vector_stores_create": false, + "vector_stores_search": false, + "assistants": false, + "container_files": false, + "fine_tuning": false, + "image_variations": false, + "rag_ingest": false, + "rag_query": false, + "realtime": false, + "text_completion": false + } + }, "gdc": { "display_name": "Google Distributed Cloud (GDC)", "url": "https://docs.litellm.ai/docs/providers/gdc", @@ -2909,22 +2938,6 @@ "rerank": false } }, - "charity_engine": { - "display_name": "Charity Engine (`charity_engine`)", - "url": "https://docs.litellm.ai/docs/providers/charity_engine", - "endpoints": { - "chat_completions": true, - "messages": true, - "responses": true, - "embeddings": false, - "image_generations": false, - "audio_transcriptions": false, - "audio_speech": false, - "moderations": false, - "batches": false, - "rerank": false - } - }, "empiriolabs": { "display_name": "EmpirioLabs (`empiriolabs`)", "url": "https://docs.litellm.ai/docs/providers/empiriolabs", From 427ac8e4931c588aacc48c6e3f2c3c55893fbcba Mon Sep 17 00:00:00 2001 From: Sam Alghaithi Date: Mon, 24 Aug 2026 03:28:55 -0700 Subject: [PATCH 05/21] Reset model_prices to upstream ahead of rebase --- model_prices_and_context_window.json | 97730 +++++++++++++------------ 1 file changed, 50651 insertions(+), 47079 deletions(-) diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json index 4c3fa57427b..3af7d9e5019 100644 --- a/model_prices_and_context_window.json +++ b/model_prices_and_context_window.json @@ -1,47123 +1,50695 @@ { - "sample_spec": { - "code_interpreter_cost_per_session": 0.0, - "computer_use_input_cost_per_1k_tokens": 0.0, - "computer_use_output_cost_per_1k_tokens": 0.0, - "deprecation_date": "date when the model becomes deprecated in the format YYYY-MM-DD", - "file_search_cost_per_1k_calls": 0.0, - "file_search_cost_per_gb_per_day": 0.0, - "input_cost_per_audio_token": 0.0, - "input_cost_per_token": 0.0, - "litellm_provider": "one of https://docs.litellm.ai/docs/providers", - "max_input_tokens": "max input tokens, if the provider specifies it. if not default to max_tokens", - "max_output_tokens": "max output tokens, if the provider specifies it. if not default to max_tokens", - "max_tokens": "LEGACY parameter. set to max_output_tokens if provider specifies it. IF not set to max_input_tokens, if provider specifies it.", - "mode": "one of: chat, embedding, completion, image_generation, audio_transcription, audio_speech, image_generation, moderation, rerank, search", - "output_cost_per_reasoning_token": 0.0, - "output_cost_per_token": 0.0, - "search_context_cost_per_query": { - "search_context_size_high": 0.0, - "search_context_size_low": 0.0, - "search_context_size_medium": 0.0 - }, - "supported_regions": [ - "global", - "us-west-2", - "eu-west-1", - "ap-southeast-1", - "ap-northeast-1" - ], - "supports_audio_input": true, - "supports_audio_output": true, - "supports_function_calling": true, - "supports_parallel_function_calling": true, - "supports_prompt_caching": true, - "supports_reasoning": true, - "supports_response_schema": true, - "supports_system_messages": true, - "supports_vision": true, - "supports_web_search": true, - "vector_store_cost_per_gb_per_day": 0.0 - }, - "1024-x-1024/50-steps/bedrock/amazon.nova-canvas-v1:0": { - "deprecation_date": "2026-09-30", - "litellm_provider": "bedrock", - "max_input_tokens": 2600, - "mode": "image_generation", - "output_cost_per_image": 0.06 - }, - "1024-x-1024/50-steps/stability.stable-diffusion-xl-v1": { - "litellm_provider": "bedrock", - "max_input_tokens": 77, - "max_tokens": 77, - "mode": "image_generation", - "output_cost_per_image": 0.04 - }, - "1024-x-1024/dall-e-2": { - "input_cost_per_pixel": 1.9e-08, - "litellm_provider": "openai", - "mode": "image_generation", - "output_cost_per_pixel": 0.0 - }, - "1024-x-1024/max-steps/stability.stable-diffusion-xl-v1": { - "litellm_provider": "bedrock", - "max_input_tokens": 77, - "max_tokens": 77, - "mode": "image_generation", - "output_cost_per_image": 0.08 - }, - "256-x-256/dall-e-2": { - "input_cost_per_pixel": 2.4414e-07, - "litellm_provider": "openai", - "mode": "image_generation", - "output_cost_per_pixel": 0.0 - }, - "512-x-512/50-steps/stability.stable-diffusion-xl-v0": { - "litellm_provider": "bedrock", - "max_input_tokens": 77, - "max_tokens": 77, - "mode": "image_generation", - "output_cost_per_image": 0.018 - }, - "512-x-512/dall-e-2": { - "input_cost_per_pixel": 6.86e-08, - "litellm_provider": "openai", - "mode": "image_generation", - "output_cost_per_pixel": 0.0 - }, - "512-x-512/max-steps/stability.stable-diffusion-xl-v0": { - "litellm_provider": "bedrock", - "max_input_tokens": 77, - "max_tokens": 77, - "mode": "image_generation", - "output_cost_per_image": 0.036 - }, - "ai21.j2-mid-v1": { - "input_cost_per_token": 1.25e-05, - "litellm_provider": "bedrock", - "max_input_tokens": 8191, - "max_output_tokens": 8191, - "max_tokens": 8191, - "mode": "chat", - "output_cost_per_token": 1.25e-05 - }, - "ai21.j2-ultra-v1": { - "input_cost_per_token": 1.88e-05, - "litellm_provider": "bedrock", - "max_input_tokens": 8191, - "max_output_tokens": 8191, - "max_tokens": 8191, - "mode": "chat", - "output_cost_per_token": 1.88e-05 - }, - "ai21.jamba-1-5-large-v1:0": { - "deprecation_date": "2026-11-26", - "input_cost_per_token": 2e-06, - "litellm_provider": "bedrock", - "max_input_tokens": 256000, - "max_output_tokens": 256000, - "max_tokens": 256000, - "mode": "chat", - "output_cost_per_token": 8e-06 - }, - "ai21.jamba-1-5-mini-v1:0": { - "deprecation_date": "2026-11-26", - "input_cost_per_token": 2e-07, - "litellm_provider": "bedrock", - "max_input_tokens": 256000, - "max_output_tokens": 256000, - "max_tokens": 256000, - "mode": "chat", - "output_cost_per_token": 4e-07 - }, - "ai21.jamba-instruct-v1:0": { - "input_cost_per_token": 5e-07, - "litellm_provider": "bedrock", - "max_input_tokens": 70000, - "max_output_tokens": 4096, - "max_tokens": 4096, - "mode": "chat", - "output_cost_per_token": 7e-07, - "supports_system_messages": true - }, - "aiml/dall-e-2": { - "litellm_provider": "aiml", - "metadata": { - "notes": "DALL-E 2 via AI/ML API - Reliable text-to-image generation" - }, - "mode": "image_generation", - "output_cost_per_image": 0.026, - "source": "https://docs.aimlapi.com/", - "supported_endpoints": [ - "/v1/images/generations" - ] - }, - "aiml/dall-e-3": { - "litellm_provider": "aiml", - "metadata": { - "notes": "DALL-E 3 via AI/ML API - High-quality text-to-image generation" - }, - "mode": "image_generation", - "output_cost_per_image": 0.052, - "source": "https://docs.aimlapi.com/", - "supported_endpoints": [ - "/v1/images/generations" - ] - }, - "aiml/flux-pro": { - "litellm_provider": "aiml", - "metadata": { - "notes": "Flux Dev - Development version optimized for experimentation" - }, - "mode": "image_generation", - "output_cost_per_image": 0.065, - "source": "https://docs.aimlapi.com/", - "supported_endpoints": [ - "/v1/images/generations" - ] - }, - "aiml/flux-pro/v1.1": { - "litellm_provider": "aiml", - "mode": "image_generation", - "output_cost_per_image": 0.052, - "supported_endpoints": [ - "/v1/images/generations" - ] - }, - "aiml/flux-pro/v1.1-ultra": { - "litellm_provider": "aiml", - "mode": "image_generation", - "output_cost_per_image": 0.063, - "supported_endpoints": [ - "/v1/images/generations" - ] - }, - "aiml/flux-realism": { - "litellm_provider": "aiml", - "metadata": { - "notes": "Flux Pro - Professional-grade image generation model" - }, - "mode": "image_generation", - "output_cost_per_image": 0.046, - "source": "https://docs.aimlapi.com/", - "supported_endpoints": [ - "/v1/images/generations" - ] - }, - "aiml/flux/dev": { - "litellm_provider": "aiml", - "metadata": { - "notes": "Flux Dev - Development version optimized for experimentation" - }, - "mode": "image_generation", - "output_cost_per_image": 0.033, - "source": "https://docs.aimlapi.com/", - "supported_endpoints": [ - "/v1/images/generations" - ] - }, - "aiml/flux/kontext-max/text-to-image": { - "litellm_provider": "aiml", - "metadata": { - "notes": "Flux Pro v1.1 - Enhanced version with improved capabilities and 6x faster inference speed" - }, - "mode": "image_generation", - "output_cost_per_image": 0.104, - "source": "https://docs.aimlapi.com/", - "supported_endpoints": [ - "/v1/images/generations" - ] - }, - "aiml/flux/kontext-pro/text-to-image": { - "litellm_provider": "aiml", - "metadata": { - "notes": "Flux Pro v1.1 - Enhanced version with improved capabilities and 6x faster inference speed" - }, - "mode": "image_generation", - "output_cost_per_image": 0.052, - "source": "https://docs.aimlapi.com/", - "supported_endpoints": [ - "/v1/images/generations" - ] - }, - "aiml/flux/schnell": { - "litellm_provider": "aiml", - "metadata": { - "notes": "Flux Schnell - Fast generation model optimized for speed" - }, - "mode": "image_generation", - "output_cost_per_image": 0.004, - "source": "https://docs.aimlapi.com/", - "supported_endpoints": [ - "/v1/images/generations" - ] - }, - "aiml/google/imagen-4.0-ultra-generate-001": { - "litellm_provider": "aiml", - "metadata": { - "notes": "Imagen 4.0 Ultra Generate API - Photorealistic image generation with precise text rendering" - }, - "mode": "image_generation", - "output_cost_per_image": 0.078, - "source": "https://docs.aimlapi.com/api-references/image-models/google/imagen-4-ultra-generate", - 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"https://www.alibabacloud.com/help/en/model-studio/model-pricing", + "supports_function_calling": true, + "supports_tool_choice": true, + "supports_vision": true + }, + "dashscope/qwen3-vl-235b-a22b-thinking": { + "input_cost_per_token": 4e-07, + "litellm_provider": "dashscope", + "max_input_tokens": 131072, + "max_output_tokens": 32768, + "max_tokens": 32768, + "mode": "chat", + "output_cost_per_token": 4e-06, + "source": "https://www.alibabacloud.com/help/en/model-studio/model-pricing", + "supports_function_calling": true, + "supports_reasoning": true, + "supports_tool_choice": true, + "supports_vision": true + }, + "dashscope/qwen3-vl-32b-instruct": { + "input_cost_per_token": 1.6e-07, + "litellm_provider": "dashscope", + "max_input_tokens": 131072, + "max_output_tokens": 32768, + "max_tokens": 32768, + "mode": "chat", + "output_cost_per_token": 6.4e-07, + "source": "https://www.alibabacloud.com/help/en/model-studio/model-pricing", + "supports_function_calling": true, + "supports_tool_choice": true, + "supports_vision": true + }, + "dashscope/qwen3-vl-32b-thinking": { + "input_cost_per_token": 1.6e-07, + "litellm_provider": "dashscope", + "max_input_tokens": 131072, + "max_output_tokens": 32768, + "max_tokens": 32768, + "mode": "chat", + "output_cost_per_token": 2.87e-06, + "source": "https://www.alibabacloud.com/help/en/model-studio/model-pricing", + "supports_function_calling": true, + "supports_reasoning": true, + "supports_tool_choice": true, + "supports_vision": true + }, + "dashscope/qwen3-vl-plus": { + "litellm_provider": "dashscope", + "max_input_tokens": 260096, + "max_output_tokens": 32768, + "max_tokens": 32768, + "mode": "chat", + "source": "https://www.alibabacloud.com/help/en/model-studio/models", + "supports_function_calling": true, + "supports_reasoning": true, + "supports_tool_choice": true, + "supports_vision": true, + "tiered_pricing": [ + { + "input_cost_per_token": 2e-07, + "output_cost_per_token": 1.6e-06, + "range": [ + 0, + 32000.0 + ] + }, + { + "input_cost_per_token": 3e-07, + "output_cost_per_token": 2.4e-06, + "range": [ + 32000.0, + 128000.0 + ] + }, + { + "input_cost_per_token": 6e-07, + "output_cost_per_token": 4.8e-06, + "range": [ + 128000.0, + 256000.0 + ] + } + ] + }, + "dashscope/qwen3.5-plus": { + "litellm_provider": "dashscope", + "max_input_tokens": 991808, + "max_output_tokens": 65536, + "max_tokens": 65536, + "mode": "chat", + "source": "https://www.alibabacloud.com/help/en/model-studio/models", + "supports_function_calling": true, + "supports_reasoning": true, + "supports_tool_choice": true, + "supports_vision": true, + "tiered_pricing": [ + { + "input_cost_per_token": 4e-07, + "output_cost_per_token": 2.4e-06, + "range": [ + 0, + 256000.0 + ] + }, + { + "input_cost_per_token": 5e-07, + "output_cost_per_token": 3e-06, + "range": [ + 256000.0, + 1000000.0 + ] + } + ] + }, + "dashscope/qwen3.7-max": { + "cache_read_input_token_cost": 5e-07, + "input_cost_per_token": 2.5e-06, + "litellm_provider": "dashscope", + "max_input_tokens": 991808, + "max_output_tokens": 65536, + "max_tokens": 65536, + "mode": "chat", + "output_cost_per_token": 7.5e-06, + "source": "https://www.alibabacloud.com/help/en/model-studio/models", + "supports_function_calling": true, + "supports_prompt_caching": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_tool_choice": true + }, + "dashscope/qwen3.7-plus": { + "litellm_provider": "dashscope", + "max_input_tokens": 991808, + "max_output_tokens": 65536, + "max_tokens": 65536, + "mode": "chat", + "source": "https://www.alibabacloud.com/help/en/model-studio/models", + "supports_function_calling": true, + "supports_prompt_caching": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_tool_choice": true, + "supports_vision": true, + "tiered_pricing": [ + { + "cache_read_input_token_cost": 8e-08, + "input_cost_per_token": 4e-07, + "output_cost_per_token": 1.6e-06, + "range": [ + 0, + 256000.0 + ] + }, + { + "cache_read_input_token_cost": 2.4e-07, + "input_cost_per_token": 1.2e-06, + "output_cost_per_token": 4.8e-06, + "range": [ + 256000.0, + 1000000.0 + ] + } + ] + }, + "dashscope/qwen3.8-max": { + "cache_read_input_token_cost": 2.5e-07, + "input_cost_per_token": 2e-06, + "litellm_provider": "dashscope", + "max_input_tokens": 991808, + "max_output_tokens": 131072, + "max_tokens": 131072, + "mode": "chat", + "output_cost_per_token": 6e-06, + "source": "https://www.alibabacloud.com/help/en/model-studio/models", + "supports_function_calling": true, + "supports_prompt_caching": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_tool_choice": true, + "supports_vision": true + }, + "dashscope/qwq-plus": { + "input_cost_per_token": 8e-07, + "litellm_provider": "dashscope", + "max_input_tokens": 98304, + "max_output_tokens": 8192, + "max_tokens": 8192, + "mode": "chat", + "output_cost_per_token": 2.4e-06, + "source": "https://www.alibabacloud.com/help/en/model-studio/models", + "supports_function_calling": true, + "supports_reasoning": true, + "supports_tool_choice": true + }, + "dashscope/qwen-image-2.0": { + "litellm_provider": "dashscope", + "mode": "image_generation", + "source": "https://www.alibabacloud.com/help/en/model-studio/models", + "supported_endpoints": [ + "/v1/images/generations" + ] + }, + "dashscope/qwen-image-2.0-pro": { + "litellm_provider": "dashscope", + "mode": "image_generation", + "source": "https://www.alibabacloud.com/help/en/model-studio/models", + "supported_endpoints": [ + "/v1/images/generations" + ] + }, + "databricks/databricks-bge-large-en": { + "input_cost_per_token": 1.0003e-07, + "input_dbu_cost_per_token": 1.429e-06, + "litellm_provider": "databricks", + "max_input_tokens": 512, + "max_tokens": 512, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070, based on databricks Llama 3.1 70B conversion. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "embedding", + "output_cost_per_token": 0.0, + "output_dbu_cost_per_token": 0.0, + "output_vector_size": 1024, + "source": "https://www.databricks.com/product/pricing/foundation-model-serving" + }, + "databricks/databricks-claude-3-7-sonnet": { + "input_cost_per_token": 2.9999900000000002e-06, + "input_dbu_cost_per_token": 4.2857e-05, + "litellm_provider": "databricks", + "max_input_tokens": 200000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 1.5000020000000002e-05, + "output_dbu_cost_per_token": 0.000214286, + "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving", + "supports_assistant_prefill": true, + "supports_function_calling": true, + "supports_reasoning": true, + "supports_tool_choice": true + }, + "databricks/databricks-claude-haiku-4-5": { + "input_cost_per_token": 1.00002e-06, + "input_dbu_cost_per_token": 1.4286e-05, + "litellm_provider": "databricks", + "max_input_tokens": 200000, + "max_output_tokens": 64000, + "max_tokens": 64000, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 5.00003e-06, + "output_dbu_cost_per_token": 7.1429e-05, + "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving", + "supports_assistant_prefill": true, + "supports_function_calling": true, + "supports_reasoning": true, + "supports_tool_choice": true + }, + "databricks/databricks-claude-opus-4": { + "input_cost_per_token": 1.5000020000000002e-05, + "input_dbu_cost_per_token": 0.000214286, + "litellm_provider": "databricks", + "max_input_tokens": 200000, + "max_output_tokens": 32000, + "max_tokens": 32000, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 7.500003000000001e-05, + "output_dbu_cost_per_token": 0.001071429, + "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving", + "supports_assistant_prefill": true, + "supports_function_calling": true, + "supports_reasoning": true, + "supports_tool_choice": true + }, + "databricks/databricks-claude-opus-4-1": { + "input_cost_per_token": 1.5000020000000002e-05, + "input_dbu_cost_per_token": 0.000214286, + "litellm_provider": "databricks", + "max_input_tokens": 200000, + "max_output_tokens": 32000, + "max_tokens": 32000, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 7.500003000000001e-05, + "output_dbu_cost_per_token": 0.001071429, + "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving", + "supports_assistant_prefill": true, + "supports_function_calling": true, + "supports_reasoning": true, + "supports_tool_choice": true + }, + "databricks/databricks-claude-opus-4-5": { + "input_cost_per_token": 5.00003e-06, + "input_dbu_cost_per_token": 7.1429e-05, + "litellm_provider": "databricks", + "max_input_tokens": 200000, + "max_output_tokens": 64000, + "max_tokens": 64000, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 2.5000010000000002e-05, + "output_dbu_cost_per_token": 0.000357143, + "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving", + "supports_assistant_prefill": true, + "supports_function_calling": true, + "supports_reasoning": true, + "supports_tool_choice": true, + "supports_output_config": true + }, + "databricks/databricks-claude-opus-4-6": { + "input_cost_per_token": 5.00003e-06, + "input_dbu_cost_per_token": 7.1429e-05, + "litellm_provider": "databricks", + "max_input_tokens": 1000000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 2.5000010000000002e-05, + "output_dbu_cost_per_token": 0.000357143, + "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving", + "supports_assistant_prefill": true, + "supports_function_calling": true, + "supports_reasoning": true, + "supports_tool_choice": true + }, + "databricks/databricks-claude-sonnet-4": { + "input_cost_per_token": 2.9999900000000002e-06, + "input_dbu_cost_per_token": 4.2857e-05, + "litellm_provider": "databricks", + "max_input_tokens": 200000, + "max_output_tokens": 64000, + "max_tokens": 64000, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 1.5000020000000002e-05, + "output_dbu_cost_per_token": 0.000214286, + "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving", + "supports_assistant_prefill": true, + "supports_function_calling": true, + "supports_reasoning": true, + "supports_tool_choice": true + }, + "databricks/databricks-claude-sonnet-4-1": { + "input_cost_per_token": 2.9999900000000002e-06, + "input_dbu_cost_per_token": 4.2857e-05, + "litellm_provider": "databricks", + "max_input_tokens": 200000, + "max_output_tokens": 64000, + "max_tokens": 64000, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 1.5000020000000002e-05, + "output_dbu_cost_per_token": 0.000214286, + "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving", + "supports_assistant_prefill": true, + "supports_function_calling": true, + "supports_reasoning": true, + "supports_tool_choice": true + }, + "databricks/databricks-claude-sonnet-4-5": { + "input_cost_per_token": 2.9999900000000002e-06, + "input_dbu_cost_per_token": 4.2857e-05, + "litellm_provider": "databricks", + "max_input_tokens": 200000, + "max_output_tokens": 64000, + "max_tokens": 64000, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 1.5000020000000002e-05, + "output_dbu_cost_per_token": 0.000214286, + "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving", + "supports_assistant_prefill": true, + "supports_function_calling": true, + "supports_reasoning": true, + "supports_tool_choice": true + }, + "databricks/databricks-claude-sonnet-4-6": { + "input_cost_per_token": 2.9999900000000002e-06, + "input_dbu_cost_per_token": 4.2857e-05, + "litellm_provider": "databricks", + "max_input_tokens": 1000000, + "max_output_tokens": 64000, + "max_tokens": 64000, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 1.5000020000000002e-05, + "output_dbu_cost_per_token": 0.000214286, + "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving", + "supports_assistant_prefill": true, + "supports_function_calling": true, + "supports_reasoning": true, + "supports_tool_choice": true + }, + "databricks/databricks-gemini-2-5-flash": { + "input_cost_per_token": 3.0001999999999996e-07, + "input_dbu_cost_per_token": 4.285999999999999e-06, + "litellm_provider": "databricks", + "max_input_tokens": 1048576, + "max_output_tokens": 65535, + "max_tokens": 65535, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 2.49998e-06, + "output_dbu_cost_per_token": 3.5714e-05, + "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving", + "supports_function_calling": true, + "supports_tool_choice": true + }, + "databricks/databricks-gemini-2-5-pro": { + "input_cost_per_token": 1.24999e-06, + "input_dbu_cost_per_token": 1.7857e-05, + "litellm_provider": "databricks", + "max_input_tokens": 1048576, + "max_output_tokens": 65536, + "max_tokens": 65536, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 9.999990000000002e-06, + "output_dbu_cost_per_token": 0.000142857, + "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving", + "supports_function_calling": true, + "supports_tool_choice": true + }, + "databricks/databricks-gemini-3-1-flash-lite": { + "input_cost_per_token": 3.1248e-07, + "input_dbu_cost_per_token": 4.464e-06, + "litellm_provider": "databricks", + "max_input_tokens": 1048576, + "max_output_tokens": 65536, + "max_tokens": 65536, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 1.87502e-06, + "output_dbu_cost_per_token": 2.6786e-05, + "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving", + "supports_function_calling": true, + "supports_tool_choice": true + }, + "databricks/databricks-gemini-3-1-pro": { + "input_cost_per_token": 2.49998e-06, + "input_dbu_cost_per_token": 3.5714e-05, + "litellm_provider": "databricks", + "max_input_tokens": 1048576, + "max_output_tokens": 65536, + "max_tokens": 65536, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 1.5000020000000002e-05, + "output_dbu_cost_per_token": 0.000214286, + "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving", + "supports_function_calling": true, + "supports_tool_choice": true + }, + "databricks/databricks-gemini-3-flash": { + "input_cost_per_token": 6.2503e-07, + "input_dbu_cost_per_token": 8.929e-06, + "litellm_provider": "databricks", + "max_input_tokens": 1048576, + "max_output_tokens": 65536, + "max_tokens": 65536, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 3.74997e-06, + "output_dbu_cost_per_token": 5.3571e-05, + "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving", + "supports_function_calling": true, + "supports_tool_choice": true + }, + "databricks/databricks-gemini-3-pro": { + "input_cost_per_token": 2.49998e-06, + "input_dbu_cost_per_token": 3.5714e-05, + "litellm_provider": "databricks", + "max_input_tokens": 1048576, + "max_output_tokens": 65536, + "max_tokens": 65536, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 1.5000020000000002e-05, + "output_dbu_cost_per_token": 0.000214286, + "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving", + "supports_function_calling": true, + "supports_tool_choice": true + }, + "databricks/databricks-gemma-3-12b": { + "input_cost_per_token": 1.5000999999999998e-07, + "input_dbu_cost_per_token": 2.1429999999999996e-06, + "litellm_provider": "databricks", + "max_input_tokens": 128000, + "max_output_tokens": 32000, + "max_tokens": 32000, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 5.0001e-07, + "output_dbu_cost_per_token": 7.143e-06, + "source": "https://www.databricks.com/product/pricing/foundation-model-serving" + }, + "databricks/databricks-gpt-5": { + "input_cost_per_token": 1.24999e-06, + "input_dbu_cost_per_token": 1.7857e-05, + "litellm_provider": "databricks", + "max_input_tokens": 272000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 9.999990000000002e-06, + "output_dbu_cost_per_token": 0.000142857, + "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving" + }, + "databricks/databricks-gpt-5-1": { + "input_cost_per_token": 1.24999e-06, + "input_dbu_cost_per_token": 1.7857e-05, + "litellm_provider": "databricks", + "max_input_tokens": 272000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 9.999990000000002e-06, + "output_dbu_cost_per_token": 0.000142857, + "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving" + }, + "databricks/databricks-gpt-5-1-codex-max": { + "input_cost_per_token": 1.24999e-06, + "input_dbu_cost_per_token": 1.7857e-05, + "litellm_provider": "databricks", + "max_input_tokens": 272000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 9.999990000000002e-06, + "output_dbu_cost_per_token": 0.000142857, + "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving" + }, + "databricks/databricks-gpt-5-1-codex-mini": { + "input_cost_per_token": 2.4997e-07, + "input_dbu_cost_per_token": 3.571e-06, + "litellm_provider": "databricks", + "max_input_tokens": 272000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 1.99997e-06, + "output_dbu_cost_per_token": 2.8571e-05, + "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving" + }, + "databricks/databricks-gpt-5-2": { + "input_cost_per_token": 1.75e-06, + "input_dbu_cost_per_token": 2.5e-05, + "litellm_provider": "databricks", + "max_input_tokens": 272000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 1.4e-05, + "output_dbu_cost_per_token": 0.0002, + "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving" + }, + "databricks/databricks-gpt-5-2-codex": { + "input_cost_per_token": 1.75e-06, + "input_dbu_cost_per_token": 2.5e-05, + "litellm_provider": "databricks", + "max_input_tokens": 272000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 1.4e-05, + "output_dbu_cost_per_token": 0.0002, + "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving" + }, + "databricks/databricks-gpt-5-3-codex": { + "input_cost_per_token": 1.75e-06, + "input_dbu_cost_per_token": 2.5e-05, + "litellm_provider": "databricks", + "max_input_tokens": 272000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 1.4e-05, + "output_dbu_cost_per_token": 0.0002, + "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving" + }, + "databricks/databricks-gpt-5-4": { + "input_cost_per_token": 2.49998e-06, + "input_dbu_cost_per_token": 3.5714e-05, + "litellm_provider": "databricks", + "max_input_tokens": 272000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 1.5000020000000002e-05, + "output_dbu_cost_per_token": 0.000214286, + "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving" + }, + "databricks/databricks-gpt-5-4-mini": { + "input_cost_per_token": 7.4998e-07, + "input_dbu_cost_per_token": 1.0714e-05, + "litellm_provider": "databricks", + "max_input_tokens": 272000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 4.50002e-06, + "output_dbu_cost_per_token": 6.4286e-05, + "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving" + }, + "databricks/databricks-gpt-5-4-nano": { + "input_cost_per_token": 1.9999e-07, + "input_dbu_cost_per_token": 2.857e-06, + "litellm_provider": "databricks", + "max_input_tokens": 272000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 1.24999e-06, + "output_dbu_cost_per_token": 1.7857e-05, + "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving" + }, + "databricks/databricks-gpt-5-mini": { + "input_cost_per_token": 2.4997000000000006e-07, + "input_dbu_cost_per_token": 3.571e-06, + "litellm_provider": "databricks", + "max_input_tokens": 272000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 1.9999700000000004e-06, + "output_dbu_cost_per_token": 2.8571e-05, + "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving" + }, + "databricks/databricks-gpt-5-nano": { + "input_cost_per_token": 4.998e-08, + "input_dbu_cost_per_token": 7.14e-07, + "litellm_provider": "databricks", + "max_input_tokens": 272000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 3.9998000000000007e-07, + "output_dbu_cost_per_token": 5.714000000000001e-06, + "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving" + }, + "databricks/databricks-gpt-oss-120b": { + "input_cost_per_token": 1.5000999999999998e-07, + "input_dbu_cost_per_token": 2.1429999999999996e-06, + "litellm_provider": "databricks", + "max_input_tokens": 131072, + "max_output_tokens": 131072, + "max_tokens": 131072, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 5.9997e-07, + "output_dbu_cost_per_token": 8.571e-06, + "source": "https://www.databricks.com/product/pricing/foundation-model-serving" + }, + "databricks/databricks-gpt-oss-20b": { + "input_cost_per_token": 7e-08, + "input_dbu_cost_per_token": 1e-06, + "litellm_provider": "databricks", + "max_input_tokens": 131072, + "max_output_tokens": 131072, + "max_tokens": 131072, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 3.0001999999999996e-07, + "output_dbu_cost_per_token": 4.285999999999999e-06, + "source": "https://www.databricks.com/product/pricing/foundation-model-serving" + }, + "databricks/databricks-gte-large-en": { + "input_cost_per_token": 1.2999000000000001e-07, + "input_dbu_cost_per_token": 1.857e-06, + "litellm_provider": "databricks", + "max_input_tokens": 8192, + "max_tokens": 8192, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070, based on databricks Llama 3.1 70B conversion. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "embedding", + "output_cost_per_token": 0.0, + "output_dbu_cost_per_token": 0.0, + "output_vector_size": 1024, + "source": "https://www.databricks.com/product/pricing/foundation-model-serving" + }, + "databricks/databricks-llama-2-70b-chat": { + "input_cost_per_token": 5.0001e-07, + "input_dbu_cost_per_token": 7.143e-06, + "litellm_provider": "databricks", + "max_input_tokens": 4096, + "max_output_tokens": 4096, + "max_tokens": 4096, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070, based on databricks Llama 3.1 70B conversion. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 1.5000300000000002e-06, + "output_dbu_cost_per_token": 2.1429e-05, + "source": "https://www.databricks.com/product/pricing/foundation-model-serving", + "supports_tool_choice": true + }, + "databricks/databricks-llama-4-maverick": { + "input_cost_per_token": 5.0001e-07, + "input_dbu_cost_per_token": 7.143e-06, + "litellm_provider": "databricks", + "max_input_tokens": 128000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "metadata": { + "notes": "Databricks documentation now provides both DBU costs (_dbu_cost_per_token) and dollar costs(_cost_per_token)." + }, + "mode": "chat", + "output_cost_per_token": 1.5000300000000002e-06, + "output_dbu_cost_per_token": 2.1429e-05, + "source": "https://www.databricks.com/product/pricing/foundation-model-serving", + "supports_tool_choice": true + }, + "databricks/databricks-meta-llama-3-1-405b-instruct": { + "input_cost_per_token": 5.00003e-06, + "input_dbu_cost_per_token": 7.1429e-05, + "litellm_provider": "databricks", + "max_input_tokens": 128000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070, based on databricks Llama 3.1 70B conversion. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 1.5000020000000002e-05, + "output_dbu_cost_per_token": 0.000214286, + "source": "https://www.databricks.com/product/pricing/foundation-model-serving", + "supports_tool_choice": true + }, + "databricks/databricks-meta-llama-3-1-8b-instruct": { + "input_cost_per_token": 1.5000999999999998e-07, + "input_dbu_cost_per_token": 2.1429999999999996e-06, + "litellm_provider": "databricks", + "max_input_tokens": 200000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 4.5003000000000007e-07, + "output_dbu_cost_per_token": 6.429000000000001e-06, + "source": "https://www.databricks.com/product/pricing/foundation-model-serving" + }, + "databricks/databricks-meta-llama-3-3-70b-instruct": { + "input_cost_per_token": 5.0001e-07, + "input_dbu_cost_per_token": 7.143e-06, + "litellm_provider": "databricks", + "max_input_tokens": 128000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070, based on databricks Llama 3.1 70B conversion. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 1.5000300000000002e-06, + "output_dbu_cost_per_token": 2.1429e-05, + "source": "https://www.databricks.com/product/pricing/foundation-model-serving", + "supports_tool_choice": true + }, + "databricks/databricks-meta-llama-3-70b-instruct": { + "input_cost_per_token": 1.00002e-06, + "input_dbu_cost_per_token": 1.4286e-05, + "litellm_provider": "databricks", + "max_input_tokens": 128000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070, based on databricks Llama 3.1 70B conversion. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 2.9999900000000002e-06, + "output_dbu_cost_per_token": 4.2857e-05, + "source": "https://www.databricks.com/product/pricing/foundation-model-serving", + "supports_tool_choice": true + }, + "databricks/databricks-mixtral-8x7b-instruct": { + "input_cost_per_token": 5.0001e-07, + "input_dbu_cost_per_token": 7.143e-06, + "litellm_provider": "databricks", + "max_input_tokens": 4096, + "max_output_tokens": 4096, + "max_tokens": 4096, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070, based on databricks Llama 3.1 70B conversion. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 1.00002e-06, + "output_dbu_cost_per_token": 1.4286e-05, + "source": "https://www.databricks.com/product/pricing/foundation-model-serving", + "supports_tool_choice": true + }, + "databricks/databricks-mpt-30b-instruct": { + "input_cost_per_token": 1.00002e-06, + "input_dbu_cost_per_token": 1.4286e-05, + "litellm_provider": "databricks", + "max_input_tokens": 8192, + "max_output_tokens": 8192, + "max_tokens": 8192, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070, based on databricks Llama 3.1 70B conversion. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 1.00002e-06, + "output_dbu_cost_per_token": 1.4286e-05, + "source": "https://www.databricks.com/product/pricing/foundation-model-serving", + "supports_tool_choice": true + }, + "databricks/databricks-mpt-7b-instruct": { + "input_cost_per_token": 5.0001e-07, + "input_dbu_cost_per_token": 7.143e-06, + "litellm_provider": "databricks", + "max_input_tokens": 8192, + "max_output_tokens": 8192, + "max_tokens": 8192, + "metadata": { + "notes": "Input/output cost per token is dbu cost * $0.070, based on databricks Llama 3.1 70B conversion. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." + }, + "mode": "chat", + "output_cost_per_token": 0.0, + "output_dbu_cost_per_token": 0.0, + "source": "https://www.databricks.com/product/pricing/foundation-model-serving", + "supports_tool_choice": true + }, + "dataforseo/search": { + "input_cost_per_query": 0.003, + "litellm_provider": "dataforseo", + "mode": "search" + }, + "davinci-002": { + "deprecation_date": "2026-09-28", + "input_cost_per_token": 2e-06, + "litellm_provider": "text-completion-openai", + "max_input_tokens": 16384, + "max_output_tokens": 4096, + "max_tokens": 4096, + "mode": "completion", + "output_cost_per_token": 2e-06 + }, + "deepgram/base": { + "input_cost_per_second": 0.00020833, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0125/60 seconds = $0.00020833 per second", + "original_pricing_per_minute": 0.0125 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": [ + "/v1/audio/transcriptions" + ] + }, + "deepgram/base-conversationalai": { + "input_cost_per_second": 0.00020833, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0125/60 seconds = $0.00020833 per second", + "original_pricing_per_minute": 0.0125 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": [ + "/v1/audio/transcriptions" + ] + }, + "deepgram/base-finance": { + "input_cost_per_second": 0.00020833, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0125/60 seconds = $0.00020833 per second", + "original_pricing_per_minute": 0.0125 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": [ + "/v1/audio/transcriptions" + ] + }, + "deepgram/base-general": { + "input_cost_per_second": 0.00020833, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0125/60 seconds = $0.00020833 per second", + "original_pricing_per_minute": 0.0125 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": [ + "/v1/audio/transcriptions" + ] + }, + "deepgram/base-meeting": { + "input_cost_per_second": 0.00020833, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0125/60 seconds = $0.00020833 per second", + "original_pricing_per_minute": 0.0125 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": [ + "/v1/audio/transcriptions" + ] + }, + "deepgram/base-phonecall": { + "input_cost_per_second": 0.00020833, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0125/60 seconds = $0.00020833 per second", + "original_pricing_per_minute": 0.0125 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": [ + "/v1/audio/transcriptions" + ] + }, + "deepgram/base-video": { + "input_cost_per_second": 0.00020833, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0125/60 seconds = $0.00020833 per second", + "original_pricing_per_minute": 0.0125 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": [ + "/v1/audio/transcriptions" + ] + }, + "deepgram/base-voicemail": { + "input_cost_per_second": 0.00020833, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0125/60 seconds = $0.00020833 per second", + "original_pricing_per_minute": 0.0125 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": [ + "/v1/audio/transcriptions" + ] + }, + "deepgram/enhanced": { + "input_cost_per_second": 0.00024167, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0145/60 seconds = $0.00024167 per second", + "original_pricing_per_minute": 0.0145 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": [ + "/v1/audio/transcriptions" + ] + }, + "deepgram/enhanced-finance": { + "input_cost_per_second": 0.00024167, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0145/60 seconds = $0.00024167 per second", + "original_pricing_per_minute": 0.0145 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://deepgram.com/pricing", + "supported_endpoints": [ + "/v1/audio/transcriptions" + ] + }, + "deepgram/enhanced-general": { + "input_cost_per_second": 0.00024167, + "litellm_provider": "deepgram", + "metadata": { + "calculation": "$0.0145/60 seconds = $0.00024167 per second", + "original_pricing_per_minute": 0.0145 + }, + "mode": 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"metadata": { + "notes": "Volcengine Doubao embedding model - text-240715 version with 2560 dimensions" + }, + "mode": "embedding", + "output_cost_per_token": 0.0, + "output_vector_size": 2560 + }, + "exa_ai/search": { + "litellm_provider": "exa_ai", + "mode": "search", + "tiered_pricing": [ + { + "input_cost_per_query": 0.005, + "max_results_range": [ + 0, + 25 + ] + }, + { + "input_cost_per_query": 0.025, + "max_results_range": [ + 26, + 100 + ] + } + ] + }, + "firecrawl/search": { + "litellm_provider": "firecrawl", + "mode": "search", + "tiered_pricing": [ + { + "input_cost_per_query": 0.00166, + "max_results_range": [ + 1, + 10 + ] + }, + { + "input_cost_per_query": 0.00332, + "max_results_range": [ + 11, + 20 + ] + }, + { + "input_cost_per_query": 0.00498, + "max_results_range": [ + 21, + 30 + ] + }, + { + "input_cost_per_query": 0.00664, + "max_results_range": [ + 31, + 40 + ] + }, + { + "input_cost_per_query": 0.0083, + "max_results_range": [ + 41, + 50 + ] + }, + { + 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Volume plans price differently." + } + }, + "elevenlabs/scribe_v1": { + "input_cost_per_second": 6.11e-05, + "litellm_provider": "elevenlabs", + "metadata": { + "calculation": "$0.22/hour = $0.00366/minute = $0.0000611 per second (enterprise pricing)", + "notes": "ElevenLabs Scribe v1 - state-of-the-art speech recognition model with 99 language support", + "original_pricing_per_hour": 0.22 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://elevenlabs.io/pricing", + "supported_endpoints": [ + "/v1/audio/transcriptions" + ] + }, + "elevenlabs/scribe_v1_experimental": { + "input_cost_per_second": 6.11e-05, + "litellm_provider": "elevenlabs", + "metadata": { + "calculation": "$0.22/hour = $0.00366/minute = $0.0000611 per second (enterprise pricing)", + "notes": "ElevenLabs Scribe v1 experimental - enhanced version of the main Scribe model", + "original_pricing_per_hour": 0.22 + }, + "mode": "audio_transcription", + "output_cost_per_second": 0.0, + "source": "https://elevenlabs.io/pricing", + "supported_endpoints": [ + "/v1/audio/transcriptions" + ] + }, + "elevenlabs/eleven_v3": { + "input_cost_per_character": 0.00018, + "litellm_provider": "elevenlabs", + "metadata": { + "calculation": "$0.18/1000 characters (Scale plan pricing, 1 credit per character)", + "notes": "ElevenLabs Eleven v3 - most expressive TTS model with 70+ languages and audio tags support" + }, + "mode": "audio_speech", + "source": "https://elevenlabs.io/pricing", + "supported_endpoints": [ + "/v1/audio/speech" + ] + }, + "elevenlabs/eleven_multilingual_v2": { + "input_cost_per_character": 0.00018, + "litellm_provider": "elevenlabs", + "metadata": { + "calculation": "$0.18/1000 characters (Scale plan pricing, 1 credit per character)", + "notes": "ElevenLabs Eleven Multilingual v2 - default TTS model with 29 languages support" + }, + "mode": "audio_speech", + "source": "https://elevenlabs.io/pricing", + "supported_endpoints": [ + "/v1/audio/speech" + ] + }, + "embed-english-light-v2.0": { + "deprecation_date": "2026-04-04", + "input_cost_per_token": 1e-07, + "litellm_provider": "cohere", + "max_input_tokens": 1024, + "max_tokens": 1024, + "mode": "embedding", + "output_cost_per_token": 0.0 + }, + "embed-english-light-v3.0": { + "input_cost_per_token": 1e-07, + "litellm_provider": "cohere", + "max_input_tokens": 1024, + "max_tokens": 1024, + "mode": "embedding", + "output_cost_per_token": 0.0 + }, + "embed-english-v2.0": { + "deprecation_date": "2026-04-04", + "input_cost_per_token": 1e-07, + "litellm_provider": "cohere", + "max_input_tokens": 4096, + "max_tokens": 4096, + "mode": "embedding", + "output_cost_per_token": 0.0 + }, + "embed-english-v3.0": { + "input_cost_per_image": 0.0001, + "input_cost_per_token": 1e-07, + "litellm_provider": "cohere", + "max_input_tokens": 1024, + "max_tokens": 1024, + "metadata": { + "notes": "'supports_image_input' is a deprecated field. 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Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 1.5000020000000002e-05, - "output_dbu_cost_per_token": 0.000214286, - "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving", - "supports_assistant_prefill": true, - "supports_function_calling": true, - "supports_reasoning": true, - "supports_tool_choice": true - }, - "databricks/databricks-gemini-2-5-flash": { - "input_cost_per_token": 3.0001999999999996e-07, - "input_dbu_cost_per_token": 4.285999999999999e-06, - "litellm_provider": "databricks", - "max_input_tokens": 1048576, - "max_output_tokens": 65535, - "max_tokens": 65535, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 2.49998e-06, - "output_dbu_cost_per_token": 3.5714e-05, - "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving", - "supports_function_calling": true, - "supports_tool_choice": true - }, - "databricks/databricks-gemini-2-5-pro": { - "input_cost_per_token": 1.24999e-06, - "input_dbu_cost_per_token": 1.7857e-05, - "litellm_provider": "databricks", - "max_input_tokens": 1048576, - "max_output_tokens": 65536, - "max_tokens": 65536, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 9.999990000000002e-06, - "output_dbu_cost_per_token": 0.000142857, - "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving", - "supports_function_calling": true, - "supports_tool_choice": true - }, - "databricks/databricks-gemma-3-12b": { - "input_cost_per_token": 1.5000999999999998e-07, - "input_dbu_cost_per_token": 2.1429999999999996e-06, - "litellm_provider": "databricks", - "max_input_tokens": 128000, - "max_output_tokens": 32000, - "max_tokens": 32000, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 5.0001e-07, - "output_dbu_cost_per_token": 7.143e-06, - "source": "https://www.databricks.com/product/pricing/foundation-model-serving" - }, - "databricks/databricks-gpt-5": { - "input_cost_per_token": 1.24999e-06, - "input_dbu_cost_per_token": 1.7857e-05, - "litellm_provider": "databricks", - "max_input_tokens": 272000, - "max_output_tokens": 128000, - "max_tokens": 128000, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 9.999990000000002e-06, - "output_dbu_cost_per_token": 0.000142857, - "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving" - }, - "databricks/databricks-gpt-5-1": { - "input_cost_per_token": 1.24999e-06, - "input_dbu_cost_per_token": 1.7857e-05, - "litellm_provider": "databricks", - "max_input_tokens": 272000, - "max_output_tokens": 128000, - "max_tokens": 128000, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 9.999990000000002e-06, - "output_dbu_cost_per_token": 0.000142857, - "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving" - }, - "databricks/databricks-gpt-5-mini": { - "input_cost_per_token": 2.4997000000000006e-07, - "input_dbu_cost_per_token": 3.571e-06, - "litellm_provider": "databricks", - "max_input_tokens": 272000, - "max_output_tokens": 128000, - "max_tokens": 128000, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 1.9999700000000004e-06, - "output_dbu_cost_per_token": 2.8571e-05, - "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving" - }, - "databricks/databricks-gpt-5-nano": { - "input_cost_per_token": 4.998e-08, - "input_dbu_cost_per_token": 7.14e-07, - "litellm_provider": "databricks", - "max_input_tokens": 272000, - "max_output_tokens": 128000, - "max_tokens": 128000, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 3.9998000000000007e-07, - "output_dbu_cost_per_token": 5.714000000000001e-06, - "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving" - }, - "databricks/databricks-gpt-oss-120b": { - "input_cost_per_token": 1.5000999999999998e-07, - "input_dbu_cost_per_token": 2.1429999999999996e-06, - "litellm_provider": "databricks", - "max_input_tokens": 131072, - "max_output_tokens": 131072, - "max_tokens": 131072, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 5.9997e-07, - "output_dbu_cost_per_token": 8.571e-06, - "source": "https://www.databricks.com/product/pricing/foundation-model-serving" - }, - "databricks/databricks-gpt-oss-20b": { - "input_cost_per_token": 7e-08, - "input_dbu_cost_per_token": 1e-06, - "litellm_provider": "databricks", - "max_input_tokens": 131072, - "max_output_tokens": 131072, - "max_tokens": 131072, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 3.0001999999999996e-07, - "output_dbu_cost_per_token": 4.285999999999999e-06, - "source": "https://www.databricks.com/product/pricing/foundation-model-serving" - }, - "databricks/databricks-gte-large-en": { - "input_cost_per_token": 1.2999000000000001e-07, - "input_dbu_cost_per_token": 1.857e-06, - "litellm_provider": "databricks", - "max_input_tokens": 8192, - "max_tokens": 8192, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070, based on databricks Llama 3.1 70B conversion. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "embedding", - "output_cost_per_token": 0.0, - "output_dbu_cost_per_token": 0.0, - "output_vector_size": 1024, - "source": "https://www.databricks.com/product/pricing/foundation-model-serving" - }, - "databricks/databricks-llama-2-70b-chat": { - "input_cost_per_token": 5.0001e-07, - "input_dbu_cost_per_token": 7.143e-06, - "litellm_provider": "databricks", - "max_input_tokens": 4096, - "max_output_tokens": 4096, - "max_tokens": 4096, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070, based on databricks Llama 3.1 70B conversion. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 1.5000300000000002e-06, - "output_dbu_cost_per_token": 2.1429e-05, - "source": "https://www.databricks.com/product/pricing/foundation-model-serving", - "supports_tool_choice": true - }, - "databricks/databricks-llama-4-maverick": { - "input_cost_per_token": 5.0001e-07, - "input_dbu_cost_per_token": 7.143e-06, - "litellm_provider": "databricks", - "max_input_tokens": 128000, - "max_output_tokens": 128000, - "max_tokens": 128000, - "metadata": { - "notes": "Databricks documentation now provides both DBU costs (_dbu_cost_per_token) and dollar costs(_cost_per_token)." - }, - "mode": "chat", - "output_cost_per_token": 1.5000300000000002e-06, - "output_dbu_cost_per_token": 2.1429e-05, - "source": "https://www.databricks.com/product/pricing/foundation-model-serving", - "supports_tool_choice": true - }, - "databricks/databricks-meta-llama-3-1-405b-instruct": { - "input_cost_per_token": 5.00003e-06, - "input_dbu_cost_per_token": 7.1429e-05, - "litellm_provider": "databricks", - "max_input_tokens": 128000, - "max_output_tokens": 128000, - "max_tokens": 128000, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070, based on databricks Llama 3.1 70B conversion. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 1.5000020000000002e-05, - "output_dbu_cost_per_token": 0.000214286, - "source": "https://www.databricks.com/product/pricing/foundation-model-serving", - "supports_tool_choice": true - }, - "databricks/databricks-meta-llama-3-1-8b-instruct": { - "input_cost_per_token": 1.5000999999999998e-07, - "input_dbu_cost_per_token": 2.1429999999999996e-06, - "litellm_provider": "databricks", - "max_input_tokens": 200000, - "max_output_tokens": 128000, - "max_tokens": 128000, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 4.5003000000000007e-07, - "output_dbu_cost_per_token": 6.429000000000001e-06, - "source": "https://www.databricks.com/product/pricing/foundation-model-serving" - }, - "databricks/databricks-meta-llama-3-3-70b-instruct": { - "input_cost_per_token": 5.0001e-07, - "input_dbu_cost_per_token": 7.143e-06, - "litellm_provider": "databricks", - "max_input_tokens": 128000, - "max_output_tokens": 128000, - "max_tokens": 128000, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070, based on databricks Llama 3.1 70B conversion. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 1.5000300000000002e-06, - "output_dbu_cost_per_token": 2.1429e-05, - "source": "https://www.databricks.com/product/pricing/foundation-model-serving", - "supports_tool_choice": true - }, - "databricks/databricks-meta-llama-3-70b-instruct": { - "input_cost_per_token": 1.00002e-06, - "input_dbu_cost_per_token": 1.4286e-05, - "litellm_provider": "databricks", - "max_input_tokens": 128000, - "max_output_tokens": 128000, - "max_tokens": 128000, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070, based on databricks Llama 3.1 70B conversion. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 2.9999900000000002e-06, - "output_dbu_cost_per_token": 4.2857e-05, - "source": "https://www.databricks.com/product/pricing/foundation-model-serving", - "supports_tool_choice": true - }, - "databricks/databricks-mixtral-8x7b-instruct": { - "input_cost_per_token": 5.0001e-07, - "input_dbu_cost_per_token": 7.143e-06, - "litellm_provider": "databricks", - "max_input_tokens": 4096, - "max_output_tokens": 4096, - "max_tokens": 4096, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070, based on databricks Llama 3.1 70B conversion. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 1.00002e-06, - "output_dbu_cost_per_token": 1.4286e-05, - "source": "https://www.databricks.com/product/pricing/foundation-model-serving", - "supports_tool_choice": true - }, - "databricks/databricks-mpt-30b-instruct": { - "input_cost_per_token": 1.00002e-06, - "input_dbu_cost_per_token": 1.4286e-05, - "litellm_provider": "databricks", - "max_input_tokens": 8192, - "max_output_tokens": 8192, - "max_tokens": 8192, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070, based on databricks Llama 3.1 70B conversion. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 1.00002e-06, - "output_dbu_cost_per_token": 1.4286e-05, - "source": "https://www.databricks.com/product/pricing/foundation-model-serving", - "supports_tool_choice": true - }, - "databricks/databricks-mpt-7b-instruct": { - "input_cost_per_token": 5.0001e-07, - "input_dbu_cost_per_token": 7.143e-06, - "litellm_provider": "databricks", - "max_input_tokens": 8192, - "max_output_tokens": 8192, - "max_tokens": 8192, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070, based on databricks Llama 3.1 70B conversion. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 0.0, - "output_dbu_cost_per_token": 0.0, - "source": "https://www.databricks.com/product/pricing/foundation-model-serving", - "supports_tool_choice": true - }, - "dataforseo/search": { - "input_cost_per_query": 0.003, - "litellm_provider": "dataforseo", - "mode": "search" - }, - "davinci-002": { - "input_cost_per_token": 2e-06, - "litellm_provider": "text-completion-openai", - "max_input_tokens": 16384, - "max_output_tokens": 4096, - "max_tokens": 4096, - "mode": "completion", - "output_cost_per_token": 2e-06 - }, - "deepgram/base": { - "input_cost_per_second": 0.00020833, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0125/60 seconds = $0.00020833 per second", - "original_pricing_per_minute": 0.0125 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/base-conversationalai": { - "input_cost_per_second": 0.00020833, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0125/60 seconds = $0.00020833 per second", - "original_pricing_per_minute": 0.0125 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/base-finance": { - "input_cost_per_second": 0.00020833, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0125/60 seconds = $0.00020833 per second", - "original_pricing_per_minute": 0.0125 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/base-general": { - "input_cost_per_second": 0.00020833, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0125/60 seconds = $0.00020833 per second", - "original_pricing_per_minute": 0.0125 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/base-meeting": { - "input_cost_per_second": 0.00020833, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0125/60 seconds = $0.00020833 per second", - "original_pricing_per_minute": 0.0125 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/base-phonecall": { - "input_cost_per_second": 0.00020833, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0125/60 seconds = $0.00020833 per second", - "original_pricing_per_minute": 0.0125 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/base-video": { - "input_cost_per_second": 0.00020833, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0125/60 seconds = $0.00020833 per second", - "original_pricing_per_minute": 0.0125 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/base-voicemail": { - "input_cost_per_second": 0.00020833, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0125/60 seconds = $0.00020833 per second", - "original_pricing_per_minute": 0.0125 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/enhanced": { - "input_cost_per_second": 0.00024167, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0145/60 seconds = $0.00024167 per second", - "original_pricing_per_minute": 0.0145 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/enhanced-finance": { - "input_cost_per_second": 0.00024167, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0145/60 seconds = $0.00024167 per second", - "original_pricing_per_minute": 0.0145 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/enhanced-general": { - "input_cost_per_second": 0.00024167, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0145/60 seconds = $0.00024167 per second", - "original_pricing_per_minute": 0.0145 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/enhanced-meeting": { - "input_cost_per_second": 0.00024167, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0145/60 seconds = $0.00024167 per second", - "original_pricing_per_minute": 0.0145 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/enhanced-phonecall": { - "input_cost_per_second": 0.00024167, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0145/60 seconds = $0.00024167 per second", - "original_pricing_per_minute": 0.0145 - }, - "mode": "audio_transcription", - "output_cost_per_second": 0.0, - "source": "https://deepgram.com/pricing", - "supported_endpoints": [ - "/v1/audio/transcriptions" - ] - }, - "deepgram/nova": { - "input_cost_per_second": 7.167e-05, - "litellm_provider": "deepgram", - "metadata": { - "calculation": "$0.0043/60 seconds = $0.00007167 per second", - "original_pricing_per_minute": 0.0043 - }, - "mode": "audio_transcription", - 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"supports_system_messages": true, + "supports_tool_choice": true, + "supports_vision": true, + "supports_web_search": true, + "tpm": 10000000, + "search_context_cost_per_query": { + "search_context_size_low": 0.035, + "search_context_size_medium": 0.035, + "search_context_size_high": 0.035 + } + }, + "gemini/gemini-exp-1114": { + "input_cost_per_token": 0, + "input_cost_per_token_above_128k_tokens": 0, + "litellm_provider": "gemini", + "max_input_tokens": 1048576, + "max_output_tokens": 8192, + "max_tokens": 8192, + "metadata": { + "notes": "Rate limits not documented for gemini-exp-1114. Assuming same as gemini-1.5-pro.", + "supports_tool_choice": true + }, + "mode": "chat", + "output_cost_per_token": 0, + "output_cost_per_token_above_128k_tokens": 0, + "rpm": 1000, + "source": "https://ai.google.dev/pricing", + "supports_function_calling": true, + "supports_response_schema": true, + "supports_system_messages": true, + "supports_tool_choice": true, + "supports_vision": true, + "tpm": 4000000 + }, + "gemini/gemini-exp-1206": { + "input_cost_per_token": 0, + "input_cost_per_token_above_128k_tokens": 0, + "litellm_provider": "gemini", + "max_input_tokens": 2097152, + "max_output_tokens": 8192, + "max_tokens": 8192, + "metadata": { + "notes": "Rate limits not documented for gemini-exp-1206. Assuming same as gemini-1.5-pro.", + "supports_tool_choice": true + }, + "mode": "chat", + "output_cost_per_token": 0, + "output_cost_per_token_above_128k_tokens": 0, + "rpm": 1000, + "source": "https://ai.google.dev/pricing", + "supports_function_calling": true, + "supports_response_schema": true, + "supports_system_messages": true, + "supports_tool_choice": true, + "supports_vision": true, + "tpm": 4000000 + }, + "gemini/gemini-gemma-2-27b-it": { + "input_cost_per_token": 3.5e-07, + "litellm_provider": "gemini", + "max_output_tokens": 8192, + "max_tokens": 8192, + "mode": "chat", + "output_cost_per_token": 1.05e-06, + "source": "https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#foundation_models", + "supports_function_calling": true, + "supports_tool_choice": true, + "supports_vision": true, + "tpm": 250000, + "rpm": 10 + }, + "gemini/gemini-gemma-2-9b-it": { + "input_cost_per_token": 3.5e-07, + "litellm_provider": "gemini", + "max_output_tokens": 8192, + "max_tokens": 8192, + "mode": "chat", + "output_cost_per_token": 1.05e-06, + "source": "https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#foundation_models", + "supports_function_calling": true, + "supports_tool_choice": true, + "supports_vision": true, + "tpm": 250000, + "rpm": 10 + }, + "gemini/gemma-3-27b-it": { + "input_cost_per_audio_per_second": 0, + "input_cost_per_audio_per_second_above_128k_tokens": 0, + "input_cost_per_character": 0, + "input_cost_per_character_above_128k_tokens": 0, + "input_cost_per_image": 0, + "input_cost_per_image_above_128k_tokens": 0, + "input_cost_per_token": 0, + "input_cost_per_token_above_128k_tokens": 0, + "input_cost_per_video_per_second": 0, + "input_cost_per_video_per_second_above_128k_tokens": 0, + "litellm_provider": "gemini", + "max_input_tokens": 131072, + "max_output_tokens": 8192, + "max_tokens": 8192, + "mode": "chat", + "output_cost_per_character": 0, + "output_cost_per_character_above_128k_tokens": 0, + 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"input_cost_per_image_above_128k_tokens": 0, + "input_cost_per_token": 0, + "input_cost_per_token_above_128k_tokens": 0, + "input_cost_per_video_per_second": 0, + "input_cost_per_video_per_second_above_128k_tokens": 0, + "litellm_provider": "gemini", + "max_input_tokens": 32767, + "max_output_tokens": 8192, + "max_tokens": 8192, + "mode": "chat", + "output_cost_per_character": 0, + "output_cost_per_character_above_128k_tokens": 0, + "output_cost_per_token": 0, + "output_cost_per_token_above_128k_tokens": 0, + "source": "https://aistudio.google.com", + "supports_audio_output": false, + "supports_function_calling": true, + "supports_response_schema": true, + "supports_system_messages": true, + "supports_tool_choice": true, + "supports_vision": true + }, + "gemini/lyria-3-clip-preview": { + "input_cost_per_token": 0, + "litellm_provider": "gemini", + "max_input_tokens": 131072, + "max_output_tokens": 8192, + "max_tokens": 8192, + "mode": "chat", + "output_cost_per_image": 0.04, + "output_cost_per_token": 0, + "source": "https://ai.google.dev/gemini-api/docs/pricing", + "supported_modalities": [ + "text" + ], + "supported_output_modalities": [ + "audio" + ], + "supports_audio_input": false, + "supports_audio_output": true, + "supports_function_calling": false, + "supports_prompt_caching": false, + "supports_response_schema": false, + "supports_system_messages": false, + "supports_vision": false, + "supports_web_search": false + }, + "gemini/lyria-3-pro-preview": { + "input_cost_per_token": 0, + "litellm_provider": "gemini", + "max_input_tokens": 131072, + "max_output_tokens": 8192, + "max_tokens": 8192, + "mode": "chat", + "output_cost_per_token": 0, + "source": "https://ai.google.dev/gemini-api/docs/pricing", + "supported_modalities": [ + "text" + ], + "supported_output_modalities": [ + "audio" + ], + "supports_audio_input": false, + "supports_audio_output": true, + "supports_function_calling": false, + "supports_prompt_caching": false, + "supports_response_schema": false, + "supports_system_messages": false, + "supports_vision": false, + "supports_web_search": false + }, + "gemini/veo-2.0-generate-001": { + "deprecation_date": "2026-06-30", + "litellm_provider": "gemini", + "max_input_tokens": 1024, + "max_tokens": 1024, + "mode": "video_generation", + "output_cost_per_second": 0.35, + "source": "https://ai.google.dev/gemini-api/docs/video", + "supported_modalities": [ + "text" + ], + "supported_output_modalities": [ + "video" ] - } - ] - }, - "volcengine/doubao-seed-2-0-code-preview-260215": { - "litellm_provider": "volcengine", - "max_input_tokens": 256000, - "max_output_tokens": 128000, - "max_tokens": 128000, - "mode": "chat", - "source": "https://www.volcengine.com/docs/82379/1330310", - "supports_function_calling": true, - "supports_reasoning": true, - "supports_tool_choice": false, - "supports_vision": true, - "tiered_pricing": [ - { - "input_cost_per_token": 4.6e-07, - "output_cost_per_token": 2.3e-06, - "range": [ - 0, - 32000.0 + }, + "gemini/veo-3.1-fast-generate-preview": { + "litellm_provider": "gemini", + "max_input_tokens": 1024, + "max_tokens": 1024, + "mode": "video_generation", + "output_cost_per_second": 0.15, + "source": "https://ai.google.dev/gemini-api/docs/video", + "supported_modalities": [ + "text" + ], + "supported_output_modalities": [ + "video" ] - }, - { - "input_cost_per_token": 7e-07, - "output_cost_per_token": 3.5e-06, - "range": [ - 32000.0, - 128000.0 + }, + "gemini/veo-3.1-generate-preview": { + "litellm_provider": "gemini", + "max_input_tokens": 1024, + "max_tokens": 1024, + "mode": "video_generation", + "output_cost_per_second": 0.4, + "source": "https://ai.google.dev/gemini-api/docs/video", + "supported_modalities": [ + "text" + ], + "supported_output_modalities": [ + "video" ] - }, - { - "input_cost_per_token": 1.4e-06, + }, + "gemini/veo-3.1-lite-generate-preview": { + "litellm_provider": "gemini", + "max_input_tokens": 1024, + "max_tokens": 1024, + "mode": "video_generation", + "output_cost_per_second": 0.05, + "output_cost_per_second_1080p": 0.08, + "source": "https://ai.google.dev/gemini-api/docs/video", + "supported_modalities": [ + "text" + ], + "supported_output_modalities": [ + "video" + ] + }, + "gemini/veo-3.1-fast-generate-001": { + "litellm_provider": "gemini", + "max_input_tokens": 1024, + "max_tokens": 1024, + "mode": "video_generation", + "output_cost_per_second": 0.15, + "source": "https://ai.google.dev/gemini-api/docs/video", + "supported_modalities": [ + "text" + ], + "supported_output_modalities": [ + "video" + ] + }, + "gemini/veo-3.1-generate-001": { + "litellm_provider": "gemini", + "max_input_tokens": 1024, + "max_tokens": 1024, + "mode": "video_generation", + "output_cost_per_second": 0.4, + "source": "https://ai.google.dev/gemini-api/docs/video", + "supported_modalities": [ + "text" + ], + "supported_output_modalities": [ + "video" + ] + }, + "github_copilot/claude-haiku-4.5": { + "litellm_provider": "github_copilot", + "max_input_tokens": 128000, + "max_output_tokens": 16000, + "max_tokens": 16000, + "mode": "chat", + "supported_endpoints": [ + "/v1/chat/completions" + ], + "supports_function_calling": true, + "supports_parallel_function_calling": true, + "supports_vision": true + }, + "github_copilot/claude-opus-4.5": { + "litellm_provider": "github_copilot", + "max_input_tokens": 128000, + "max_output_tokens": 16000, + "max_tokens": 16000, + "mode": "chat", + "supported_endpoints": [ + "/v1/chat/completions" + ], + "supports_function_calling": true, + "supports_parallel_function_calling": true, + "supports_vision": true, + "supports_output_config": true + }, + "github_copilot/claude-opus-4.6-fast": { + "supports_adaptive_thinking": true, + "litellm_provider": "github_copilot", + "max_input_tokens": 128000, + "max_output_tokens": 16000, + "max_tokens": 16000, + "mode": "chat", + "supported_endpoints": [ + "/v1/chat/completions" + ], + "supports_function_calling": true, + "supports_parallel_function_calling": true, + "supports_vision": true + }, + "github_copilot/claude-opus-41": { + "litellm_provider": "github_copilot", + "max_input_tokens": 80000, + "max_output_tokens": 16000, + "max_tokens": 16000, + "mode": "chat", + "supported_endpoints": [ + "/v1/chat/completions" + ], + "supports_vision": true + }, + "github_copilot/claude-sonnet-4": { + "litellm_provider": "github_copilot", + "max_input_tokens": 128000, + "max_output_tokens": 16000, + "max_tokens": 16000, + "mode": "chat", + "supported_endpoints": [ + "/v1/chat/completions" + ], + "supports_function_calling": true, + "supports_parallel_function_calling": true, + "supports_vision": true + }, + "github_copilot/claude-sonnet-4.5": { + "litellm_provider": "github_copilot", + "max_input_tokens": 128000, + "max_output_tokens": 16000, + "max_tokens": 16000, + "mode": "chat", + "supported_endpoints": [ + "/v1/chat/completions" + ], + "supports_function_calling": true, + "supports_parallel_function_calling": true, + "supports_vision": true + }, + "github_copilot/gemini-2.5-pro": { + "litellm_provider": "github_copilot", + "max_input_tokens": 128000, + "max_output_tokens": 64000, + "max_tokens": 64000, + "mode": "chat", + "supports_function_calling": true, + "supports_parallel_function_calling": true, + "supports_vision": true + }, + "github_copilot/gemini-3-pro-preview": { + "litellm_provider": "github_copilot", + "max_input_tokens": 128000, + "max_output_tokens": 64000, + "max_tokens": 64000, + "mode": "chat", + "supports_function_calling": true, + "supports_parallel_function_calling": true, + "supports_vision": true + }, + "github_copilot/gpt-3.5-turbo": { + "litellm_provider": "github_copilot", + "max_input_tokens": 16384, + "max_output_tokens": 4096, + "max_tokens": 4096, + "mode": "chat", + "supports_function_calling": true + }, + "github_copilot/gpt-3.5-turbo-0613": { + "litellm_provider": "github_copilot", + "max_input_tokens": 16384, + "max_output_tokens": 4096, + "max_tokens": 4096, + "mode": "chat", + "supports_function_calling": true + }, + "github_copilot/gpt-4": { + "litellm_provider": "github_copilot", + "max_input_tokens": 32768, + "max_output_tokens": 4096, + "max_tokens": 4096, + "mode": "chat", + "supports_function_calling": true + }, + "github_copilot/gpt-4-0613": { + "litellm_provider": "github_copilot", + "max_input_tokens": 32768, + "max_output_tokens": 4096, + "max_tokens": 4096, + "mode": "chat", + "supports_function_calling": true + }, + "github_copilot/gpt-4-o-preview": { + "litellm_provider": "github_copilot", + "max_input_tokens": 64000, + "max_output_tokens": 4096, + "max_tokens": 4096, + "mode": "chat", + "supports_function_calling": true, + "supports_parallel_function_calling": true + }, + "github_copilot/gpt-4.1": { + "litellm_provider": "github_copilot", + "max_input_tokens": 128000, + "max_output_tokens": 16384, + "max_tokens": 16384, + "mode": "chat", + "supports_function_calling": true, + 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Carries the model-family facts every Claude shares; it carries no pricing, so cost stays on the standard unpriced behavior rather than a guessed number.", - "model_info": { - "mode": "chat", - "max_input_tokens": 200000, - "max_output_tokens": 64000, - "max_tokens": 64000, - "supports_function_calling": true, - "supports_parallel_function_calling": true, - "supports_vision": true, - "supports_tool_choice": true, - "supports_assistant_prefill": true, - "supports_prompt_caching": true, - "supports_response_schema": true, - "supports_reasoning": true, - "supports_pdf_input": true, - "supports_system_messages": true - } - }, - { - "name": "claude-adaptive-thinking", - "pattern": "claude-[a-z]+-(?:4[-._](?:[6-9]|[1-9]\\d)(?!\\d)|(?:[5-9]|[1-9]\\d)(?!\\d)(?:[-._]\\d{1,2}(?!\\d))?)", - "description": "Claude at version 4.6 or higher, in any id shape that contains claude--: minors 4.6 through 4.99, any later major-minor, and bare 5+ majors so a new family shaped like claude-fable-5 matches. 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"max_tokens": 131072, + "mode": "chat", + "output_cost_per_token": 2.25e-05, + "source": "https://docs.fireworks.ai/serverless/pricing", + "supports_function_calling": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_tool_choice": true, + "supports_vision": true + }, + "fireworks_ai/accounts/fireworks/routers/kimi-k3-us": { + "cache_read_input_token_cost": 3.3e-07, + "input_cost_per_token": 3.3e-06, + "litellm_provider": "fireworks_ai", + "max_input_tokens": 1048576, + "max_output_tokens": 131072, + "max_tokens": 131072, + "mode": "chat", + "output_cost_per_token": 1.65e-05, + "source": "https://docs.fireworks.ai/serverless/pricing", + "supports_function_calling": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_tool_choice": true, + "supports_vision": true + } +} From 41a6db237f7a61188c055fd041f9f04e291f9892 Mon Sep 17 00:00:00 2001 From: Sam Alghaithi Date: Fri, 28 Aug 2026 23:43:44 -0700 Subject: [PATCH 06/21] Restore model_prices_and_context_window.json to the merge-base version; this PR no longer modifies the file --- model_prices_and_context_window.json | 4029 ++------------------------ 1 file changed, 222 insertions(+), 3807 deletions(-) diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json index 3af7d9e5019..81e61a14ad0 100644 --- a/model_prices_and_context_window.json +++ b/model_prices_and_context_window.json @@ -54,7 +54,6 @@ "output_cost_per_image": 0.04 }, "1024-x-1024/dall-e-2": { - "deprecation_date": "2026-05-12", "input_cost_per_pixel": 1.9e-08, "litellm_provider": "openai", "mode": "image_generation", @@ -68,7 +67,6 @@ "output_cost_per_image": 0.08 }, "256-x-256/dall-e-2": { - "deprecation_date": "2026-05-12", "input_cost_per_pixel": 2.4414e-07, "litellm_provider": "openai", "mode": "image_generation", @@ -82,7 +80,6 @@ "output_cost_per_image": 0.018 }, "512-x-512/dall-e-2": { - "deprecation_date": "2026-05-12", "input_cost_per_pixel": 6.86e-08, "litellm_provider": "openai", "mode": "image_generation", @@ -759,9 +756,7 @@ "supports_vision": true, "supports_native_structured_output": true, "supports_parallel_tool_use_config": true, - "prompt_cache_min_tokens": 4096, - "input_cost_per_token_batches": 5e-07, - "output_cost_per_token_batches": 2.5e-06 + "prompt_cache_min_tokens": 4096 }, "anthropic.claude-haiku-4-5@20251001": { "cache_creation_input_token_cost": 1.25e-06, @@ -1232,7 +1227,6 @@ "max_output_tokens": 128000, "max_tokens": 128000, "mode": "chat", - "thinking_always_on": true, "supports_function_calling": true, "supports_vision": true, "supports_prompt_caching": false, @@ -1405,7 +1399,6 @@ "search_context_size_medium": 0.01 }, "supports_adaptive_thinking": true, - "thinking_always_on": true, "supports_mid_conversation_system": true, "supports_assistant_prefill": false, "supports_computer_use": true, @@ -1442,7 +1435,6 @@ "search_context_size_medium": 0.01 }, "supports_adaptive_thinking": true, - "thinking_always_on": true, "supports_mid_conversation_system": true, "supports_assistant_prefill": false, "supports_computer_use": true, @@ -1479,7 +1471,6 @@ "search_context_size_medium": 0.01 }, "supports_adaptive_thinking": true, - "thinking_always_on": true, "supports_mid_conversation_system": true, "supports_assistant_prefill": false, "supports_computer_use": true, @@ -1516,7 +1507,6 @@ "search_context_size_medium": 0.01 }, "supports_adaptive_thinking": true, - "thinking_always_on": true, "supports_mid_conversation_system": true, "supports_assistant_prefill": false, "supports_computer_use": true, @@ -2494,9 +2484,7 @@ "supports_vision": true, "supports_native_structured_output": true, "supports_parallel_tool_use_config": true, - "prompt_cache_min_tokens": 1024, - "input_cost_per_token_batches": 1.5e-06, - "output_cost_per_token_batches": 7.5e-06 + "prompt_cache_min_tokens": 1024 }, "anthropic.claude-v1": { "input_cost_per_token": 8e-06, @@ -2752,9 +2740,7 @@ "supports_vision": true, "supports_native_structured_output": true, "supports_parallel_tool_use_config": true, - "prompt_cache_min_tokens": 4096, - "input_cost_per_token_batches": 5.5e-07, - "output_cost_per_token_batches": 2.75e-06 + "prompt_cache_min_tokens": 4096 }, "apac.anthropic.claude-3-sonnet-20240229-v1:0": { "deprecation_date": "2026-07-30", @@ -2850,9 +2836,7 @@ "supports_vision": true, "supports_native_structured_output": true, "supports_parallel_tool_use_config": true, - "prompt_cache_min_tokens": 1024, - "input_cost_per_token_batches": 1.65e-06, - "output_cost_per_token_batches": 8.25e-06 + "prompt_cache_min_tokens": 1024 }, "azure/ada": { "input_cost_per_token": 1e-07, @@ -2903,7 +2887,6 @@ "supports_function_calling": true }, "azure_ai/claude-haiku-4-5": { - "deprecation_date": "2026-10-19", "cache_creation_input_token_cost": 1.25e-06, "cache_creation_input_token_cost_above_1hr": 2e-06, "cache_read_input_token_cost": 1e-07, @@ -2925,7 +2908,6 @@ "supports_vision": true }, "azure_ai/claude-opus-4-5": { - "deprecation_date": "2026-10-19", "cache_creation_input_token_cost": 6.25e-06, "cache_creation_input_token_cost_above_1hr": 1e-05, "cache_read_input_token_cost": 5e-07, @@ -2948,7 +2930,6 @@ "supports_output_config": true }, "azure_ai/claude-opus-4-6": { - "deprecation_date": "2027-02-02", "supports_adaptive_thinking": true, "input_cost_per_token": 5e-06, "output_cost_per_token": 2.5e-05, @@ -2978,7 +2959,6 @@ "supports_max_reasoning_effort": true }, "azure_ai/claude-opus-4-7": { - "deprecation_date": "2027-04-06", "supports_adaptive_thinking": true, "input_cost_per_token": 5e-06, "output_cost_per_token": 2.5e-05, @@ -3026,7 +3006,6 @@ "cache_creation_input_token_cost_above_1hr": 2e-05, "cache_read_input_token_cost": 1e-06, "supports_adaptive_thinking": true, - "thinking_always_on": true, "supports_assistant_prefill": false, "supports_computer_use": true, "supports_function_calling": true, @@ -3104,7 +3083,6 @@ "supports_max_reasoning_effort": true }, "azure_ai/claude-opus-4-1": { - "deprecation_date": "2026-08-05", "cache_creation_input_token_cost": 1.875e-05, "cache_creation_input_token_cost_above_1hr": 3e-05, "cache_read_input_token_cost": 1.5e-06, @@ -3126,7 +3104,6 @@ "supports_vision": true }, "azure_ai/claude-sonnet-4-5": { - "deprecation_date": "2026-10-19", "cache_creation_input_token_cost": 3.75e-06, "cache_creation_input_token_cost_above_1hr": 6e-06, "cache_read_input_token_cost": 3e-07, @@ -3179,7 +3156,6 @@ "supports_max_reasoning_effort": true }, "azure_ai/claude-sonnet-4-6": { - "deprecation_date": "2027-02-10", "supports_adaptive_thinking": true, "cache_creation_input_token_cost": 3.75e-06, "cache_creation_input_token_cost_above_1hr": 6e-06, @@ -3250,7 +3226,6 @@ "supports_tool_choice": true }, "azure_ai/gpt-5.5": { - "deprecation_date": "2027-10-26", "cache_read_input_token_cost": 5e-07, "cache_read_input_token_cost_above_272k_tokens": 1e-06, "cache_read_input_token_cost_priority": 1e-06, @@ -3343,7 +3318,6 @@ "supports_minimal_reasoning_effort": false }, "azure_ai/gpt-5.4": { - "deprecation_date": "2027-09-02", "cache_read_input_token_cost": 2.5e-07, "cache_read_input_token_cost_above_272k_tokens": 5e-07, "cache_read_input_token_cost_priority": 5e-07, @@ -3390,7 +3364,6 @@ "supports_minimal_reasoning_effort": true }, "azure_ai/gpt-5.4-2026-03-05": { - "deprecation_date": "2027-09-02", "cache_read_input_token_cost": 2.5e-07, "cache_read_input_token_cost_above_272k_tokens": 5e-07, "cache_read_input_token_cost_priority": 5e-07, @@ -3437,7 +3410,6 @@ "supports_minimal_reasoning_effort": true }, "azure_ai/gpt-5.4-pro": { - "deprecation_date": "2027-09-07", "cache_read_input_token_cost": 3e-06, "cache_read_input_token_cost_above_272k_tokens": 6e-06, "cache_read_input_token_cost_priority": 6e-06, @@ -3483,7 +3455,6 @@ "supports_minimal_reasoning_effort": true }, "azure_ai/gpt-5.4-pro-2026-03-05": { - "deprecation_date": "2027-09-07", "cache_read_input_token_cost": 3e-06, "cache_read_input_token_cost_above_272k_tokens": 6e-06, "cache_read_input_token_cost_priority": 6e-06, @@ -3529,7 +3500,6 @@ "supports_minimal_reasoning_effort": true }, "azure_ai/gpt-5.4-mini": { - "deprecation_date": "2027-09-21", "cache_read_input_token_cost": 7.5e-08, "cache_read_input_token_cost_priority": 1.5e-07, "input_cost_per_token": 7.5e-07, @@ -3570,7 +3540,6 @@ "supports_minimal_reasoning_effort": false }, "azure_ai/gpt-5.4-mini-2026-03-17": { - "deprecation_date": "2027-09-21", "cache_read_input_token_cost": 7.5e-08, "cache_read_input_token_cost_priority": 1.5e-07, "input_cost_per_token": 7.5e-07, @@ -3611,7 +3580,6 @@ "supports_minimal_reasoning_effort": false }, "azure_ai/gpt-5.4-nano": { - "deprecation_date": "2027-09-21", "cache_read_input_token_cost": 2e-08, "cache_read_input_token_cost_priority": 4e-08, "input_cost_per_token": 2e-07, @@ -3652,7 +3620,6 @@ "supports_minimal_reasoning_effort": false }, "azure_ai/gpt-5.4-nano-2026-03-17": { - "deprecation_date": "2027-09-21", "cache_read_input_token_cost": 2e-08, "cache_read_input_token_cost_priority": 4e-08, "input_cost_per_token": 2e-07, @@ -3882,7 +3849,6 @@ "supports_vision": true }, "azure/eu/gpt-5.1": { - "deprecation_date": "2027-05-15", "cache_read_input_token_cost": 1.4e-07, "input_cost_per_token": 1.38e-06, "litellm_provider": "azure", @@ -3952,7 +3918,6 @@ "supports_none_reasoning_effort": true }, "azure/eu/gpt-5.1-codex": { - "deprecation_date": "2027-05-15", "cache_read_input_token_cost": 1.4e-07, "input_cost_per_token": 1.38e-06, "litellm_provider": "azure", @@ -3983,7 +3948,6 @@ "supports_vision": true }, "azure/eu/gpt-5.1-codex-mini": { - "deprecation_date": "2027-05-15", "cache_read_input_token_cost": 2.8e-08, "input_cost_per_token": 2.75e-07, "litellm_provider": "azure", @@ -4143,7 +4107,6 @@ "supports_vision": true }, "azure/global-standard/gpt-4o-mini": { - "deprecation_date": "2027-04-14", "input_cost_per_token": 1.5e-07, "litellm_provider": "azure", "max_input_tokens": 128000, @@ -4192,7 +4155,6 @@ "supports_vision": true }, "azure/global/gpt-5.1": { - "deprecation_date": "2027-05-15", "cache_read_input_token_cost": 1.25e-07, "input_cost_per_token": 1.25e-06, "litellm_provider": "azure", @@ -4262,7 +4224,6 @@ "supports_none_reasoning_effort": true }, "azure/global/gpt-5.1-codex": { - "deprecation_date": "2027-05-15", "cache_read_input_token_cost": 1.25e-07, "input_cost_per_token": 1.25e-06, "litellm_provider": "azure", @@ -4293,7 +4254,6 @@ "supports_vision": true }, "azure/global/gpt-5.1-codex-mini": { - "deprecation_date": "2027-05-15", "cache_read_input_token_cost": 2.5e-08, "input_cost_per_token": 2.5e-07, "litellm_provider": "azure", @@ -4532,7 +4492,6 @@ "supports_vision": true }, "azure/gpt-4.1": { - "deprecation_date": "2027-04-14", "cache_read_input_token_cost": 5e-07, "input_cost_per_token": 2e-06, "input_cost_per_token_batches": 1e-06, @@ -4600,7 +4559,6 @@ "supports_web_search": false }, "azure/gpt-4.1-mini": { - "deprecation_date": "2027-04-14", "cache_read_input_token_cost": 1e-07, "input_cost_per_token": 4e-07, "input_cost_per_token_batches": 2e-07, @@ -4668,7 +4626,6 @@ "supports_web_search": false }, "azure/gpt-4.1-nano": { - "deprecation_date": "2026-10-14", "cache_read_input_token_cost": 2.5e-08, "input_cost_per_token": 1e-07, "input_cost_per_token_batches": 5e-08, @@ -4881,38 +4838,6 @@ "supports_tool_choice": true, "supports_vision": false }, - "azure/gpt-audio-mini": { - "deprecation_date": "2027-04-06", - "input_cost_per_audio_token": 1e-05, - "input_cost_per_token": 6e-07, - "litellm_provider": "azure", - "max_input_tokens": 128000, - "max_output_tokens": 16384, - "max_tokens": 16384, - "mode": "chat", - "output_cost_per_audio_token": 2e-05, - "output_cost_per_token": 2.4e-06, - "supported_endpoints": [ - "/v1/chat/completions" - ], - "supported_modalities": [ - "text", - "audio" - ], - "supported_output_modalities": [ - "text", - "audio" - ], - "supports_function_calling": true, - "supports_native_streaming": true, - "supports_parallel_function_calling": true, - "supports_prompt_caching": false, - "supports_reasoning": false, - "supports_response_schema": false, - "supports_system_messages": true, - "supports_tool_choice": true, - "supports_vision": false - }, "azure/gpt-audio-mini-2025-10-06": { "deprecation_date": "2027-04-06", "input_cost_per_audio_token": 1e-05, @@ -4977,7 +4902,6 @@ "supports_vision": false }, "azure/gpt-4o-mini": { - "deprecation_date": "2027-04-14", "cache_read_input_token_cost": 7.5e-08, "input_cost_per_token": 1.65e-07, "litellm_provider": "azure", @@ -5126,38 +5050,6 @@ "supports_system_messages": true, "supports_tool_choice": true }, - "azure/gpt-realtime-mini": { - "cache_creation_input_audio_token_cost": 3e-07, - "cache_read_input_token_cost": 6e-08, - "input_cost_per_audio_token": 1e-05, - "input_cost_per_image": 8e-07, - "input_cost_per_token": 6e-07, - "litellm_provider": "azure", - "max_input_tokens": 32000, - "max_output_tokens": 4096, - "max_tokens": 4096, - "mode": "realtime", - "output_cost_per_audio_token": 2e-05, - "output_cost_per_token": 2.4e-06, - "supported_endpoints": [ - "/v1/realtime" - ], - "supported_modalities": [ - "text", - "image", - "audio" - ], - "supported_output_modalities": [ - "text", - "audio" - ], - "supports_audio_input": true, - "supports_audio_output": true, - "supports_function_calling": true, - "supports_parallel_function_calling": true, - "supports_system_messages": true, - "supports_tool_choice": true - }, "azure/gpt-realtime-mini-2025-10-06": { "cache_creation_input_audio_token_cost": 3e-07, "cache_read_input_token_cost": 6e-08, @@ -5452,7 +5344,6 @@ "supports_vision": true }, "azure/gpt-5": { - "deprecation_date": "2027-02-09", "cache_read_input_token_cost": 1.25e-07, "input_cost_per_token": 1.25e-06, "litellm_provider": "azure", @@ -5616,7 +5507,6 @@ "supports_vision": true }, "azure/gpt-5-mini": { - "deprecation_date": "2027-02-09", "cache_read_input_token_cost": 2.5e-08, "input_cost_per_token": 2.5e-07, "litellm_provider": "azure", @@ -5682,7 +5572,6 @@ "supports_vision": true }, "azure/gpt-5-nano": { - "deprecation_date": "2027-02-09", "cache_read_input_token_cost": 5e-09, "input_cost_per_token": 5e-08, "litellm_provider": "azure", @@ -5778,7 +5667,6 @@ "supports_vision": true }, "azure/gpt-5.1": { - "deprecation_date": "2027-05-15", "cache_read_input_token_cost": 1.25e-07, "input_cost_per_token": 1.25e-06, "litellm_provider": "azure", @@ -5848,7 +5736,6 @@ "supports_none_reasoning_effort": true }, "azure/gpt-5.1-codex": { - "deprecation_date": "2027-05-15", "cache_read_input_token_cost": 1.25e-07, "input_cost_per_token": 1.25e-06, "litellm_provider": "azure", @@ -5910,7 +5797,6 @@ "supports_vision": true }, "azure/gpt-5.1-codex-mini": { - "deprecation_date": "2027-05-15", "cache_read_input_token_cost": 2.5e-08, "input_cost_per_token": 2.5e-07, "litellm_provider": "azure", @@ -5941,7 +5827,6 @@ "supports_vision": true }, "azure/gpt-5.2": { - "deprecation_date": "2027-06-08", "cache_read_input_token_cost": 1.75e-07, "input_cost_per_token": 1.75e-06, "litellm_provider": "azure", @@ -6186,11 +6071,6 @@ "max_tokens": 128000, "mode": "responses", "output_cost_per_token": 0.000168, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/batch", "/v1/responses" @@ -6222,11 +6102,6 @@ "max_tokens": 128000, "mode": "responses", "output_cost_per_token": 0.000168, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/batch", "/v1/responses" @@ -6251,7 +6126,6 @@ "supports_web_search": true }, "azure/gpt-5.4": { - "deprecation_date": "2027-09-02", "cache_read_input_token_cost": 2.5e-07, "cache_read_input_token_cost_above_272k_tokens": 5e-07, "cache_read_input_token_cost_priority": 5e-07, @@ -6290,13 +6164,9 @@ "supports_response_schema": true, "supports_system_messages": true, "supports_tool_choice": true, - "supports_vision": true, - "supports_none_reasoning_effort": true, - "supports_xhigh_reasoning_effort": true, - "supports_minimal_reasoning_effort": true + "supports_vision": true }, "azure/us/gpt-5.4": { - "deprecation_date": "2027-09-02", "cache_read_input_token_cost": 2.8e-07, "cache_read_input_token_cost_priority": 5.5e-07, "input_cost_per_token": 2.75e-06, @@ -6329,13 +6199,9 @@ "supports_response_schema": true, "supports_system_messages": true, "supports_tool_choice": true, - "supports_vision": true, - "supports_none_reasoning_effort": true, - "supports_xhigh_reasoning_effort": true, - "supports_minimal_reasoning_effort": true + "supports_vision": true }, "azure/eu/gpt-5.4": { - "deprecation_date": "2027-09-02", "cache_read_input_token_cost": 2.8e-07, "cache_read_input_token_cost_priority": 5.5e-07, "input_cost_per_token": 2.75e-06, @@ -6368,10 +6234,7 @@ "supports_response_schema": true, "supports_system_messages": true, "supports_tool_choice": true, - "supports_vision": true, - "supports_none_reasoning_effort": true, - "supports_xhigh_reasoning_effort": true, - "supports_minimal_reasoning_effort": true + "supports_vision": true }, "azure/gpt-5.4-2026-03-05": { "cache_read_input_token_cost": 2.5e-07, @@ -6413,10 +6276,7 @@ "supports_response_schema": true, "supports_system_messages": true, "supports_tool_choice": true, - "supports_vision": true, - "supports_none_reasoning_effort": true, - "supports_xhigh_reasoning_effort": true, - "supports_minimal_reasoning_effort": true + "supports_vision": true }, "azure/us/gpt-5.4-2026-03-05": { "cache_read_input_token_cost": 2.8e-07, @@ -6452,10 +6312,7 @@ "supports_response_schema": true, "supports_system_messages": true, "supports_tool_choice": true, - "supports_vision": true, - "supports_none_reasoning_effort": true, - "supports_xhigh_reasoning_effort": true, - "supports_minimal_reasoning_effort": true + "supports_vision": true }, "azure/eu/gpt-5.4-2026-03-05": { "cache_read_input_token_cost": 2.8e-07, @@ -6491,13 +6348,9 @@ "supports_response_schema": true, "supports_system_messages": true, "supports_tool_choice": true, - "supports_vision": true, - "supports_none_reasoning_effort": true, - "supports_xhigh_reasoning_effort": true, - "supports_minimal_reasoning_effort": true + "supports_vision": true }, "azure/gpt-5.4-pro": { - "deprecation_date": "2027-09-07", "cache_read_input_token_cost": 3e-06, "cache_read_input_token_cost_above_272k_tokens": 6e-06, "input_cost_per_token": 3e-05, @@ -6509,11 +6362,6 @@ "mode": "responses", "output_cost_per_token": 0.00018, "output_cost_per_token_above_272k_tokens": 0.00027, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/batch", "/v1/responses" @@ -6550,11 +6398,6 @@ "mode": "responses", "output_cost_per_token": 0.00018, "output_cost_per_token_above_272k_tokens": 0.00027, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/batch", "/v1/responses" @@ -6588,7 +6431,7 @@ "input_cost_per_token_priority": 1e-05, "input_cost_per_token_above_272k_tokens_priority": 2e-05, "litellm_provider": "azure", - "max_input_tokens": 922000, + "max_input_tokens": 1050000, "max_output_tokens": 128000, "max_tokens": 128000, "mode": "chat", @@ -6596,11 +6439,6 @@ "output_cost_per_token_above_272k_tokens": 4.5e-05, "output_cost_per_token_priority": 6e-05, "output_cost_per_token_above_272k_tokens_priority": 9e-05, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/chat/completions", "/v1/batch", @@ -6639,7 +6477,7 @@ "input_cost_per_token_priority": 1e-05, "input_cost_per_token_above_272k_tokens_priority": 2e-05, "litellm_provider": "azure", - "max_input_tokens": 922000, + "max_input_tokens": 1050000, "max_output_tokens": 128000, "max_tokens": 128000, "mode": "chat", @@ -6647,11 +6485,6 @@ "output_cost_per_token_above_272k_tokens": 4.5e-05, "output_cost_per_token_priority": 6e-05, "output_cost_per_token_above_272k_tokens_priority": 9e-05, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/chat/completions", "/v1/batch", @@ -6690,7 +6523,7 @@ "input_cost_per_token_priority": 4e-06, "input_cost_per_token_above_272k_tokens_priority": 8e-06, "litellm_provider": "azure", - "max_input_tokens": 922000, + "max_input_tokens": 1050000, "max_output_tokens": 128000, "max_tokens": 128000, "mode": "chat", @@ -6698,11 +6531,6 @@ "output_cost_per_token_above_272k_tokens": 1.8e-05, "output_cost_per_token_priority": 2.4e-05, "output_cost_per_token_above_272k_tokens_priority": 3.6e-05, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/chat/completions", "/v1/batch", @@ -6741,7 +6569,7 @@ "input_cost_per_token_priority": 4e-07, "input_cost_per_token_above_272k_tokens_priority": 8e-07, "litellm_provider": "azure", - "max_input_tokens": 922000, + "max_input_tokens": 1050000, "max_output_tokens": 128000, "max_tokens": 128000, "mode": "chat", @@ -6749,11 +6577,6 @@ "output_cost_per_token_above_272k_tokens": 1.8e-06, "output_cost_per_token_priority": 2.4e-06, "output_cost_per_token_above_272k_tokens_priority": 3.6e-06, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/chat/completions", "/v1/batch", @@ -6789,18 +6612,13 @@ "input_cost_per_token_above_272k_tokens": 1.1e-05, "input_cost_per_token_priority": 1.375e-05, "litellm_provider": "azure", - "max_input_tokens": 922000, + "max_input_tokens": 1050000, "max_output_tokens": 128000, "max_tokens": 128000, "mode": "chat", "output_cost_per_token": 3.3e-05, "output_cost_per_token_above_272k_tokens": 4.95e-05, "output_cost_per_token_priority": 8.25e-05, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/chat/completions", "/v1/batch", @@ -6837,18 +6655,13 @@ "input_cost_per_token_above_272k_tokens": 1.1e-05, "input_cost_per_token_priority": 1.375e-05, "litellm_provider": "azure", - "max_input_tokens": 922000, + "max_input_tokens": 1050000, "max_output_tokens": 128000, "max_tokens": 128000, "mode": "chat", "output_cost_per_token": 3.3e-05, "output_cost_per_token_above_272k_tokens": 4.95e-05, "output_cost_per_token_priority": 8.25e-05, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/chat/completions", "/v1/batch", @@ -6885,18 +6698,13 @@ "input_cost_per_token_above_272k_tokens": 4.4e-06, "input_cost_per_token_priority": 5.5e-06, "litellm_provider": "azure", - "max_input_tokens": 922000, + "max_input_tokens": 1050000, "max_output_tokens": 128000, "max_tokens": 128000, "mode": "chat", "output_cost_per_token": 1.32e-05, "output_cost_per_token_above_272k_tokens": 1.98e-05, "output_cost_per_token_priority": 3.3e-05, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/chat/completions", "/v1/batch", @@ -6933,18 +6741,13 @@ "input_cost_per_token_above_272k_tokens": 4.4e-07, "input_cost_per_token_priority": 5.5e-07, "litellm_provider": "azure", - "max_input_tokens": 922000, + "max_input_tokens": 1050000, "max_output_tokens": 128000, "max_tokens": 128000, "mode": "chat", "output_cost_per_token": 1.32e-06, "output_cost_per_token_above_272k_tokens": 1.98e-06, "output_cost_per_token_priority": 3.3e-06, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/chat/completions", "/v1/batch", @@ -6980,18 +6783,13 @@ "input_cost_per_token_above_272k_tokens": 1.1e-05, "input_cost_per_token_priority": 1.375e-05, "litellm_provider": "azure", - "max_input_tokens": 922000, + "max_input_tokens": 1050000, "max_output_tokens": 128000, "max_tokens": 128000, "mode": "chat", "output_cost_per_token": 3.3e-05, "output_cost_per_token_above_272k_tokens": 4.95e-05, "output_cost_per_token_priority": 8.25e-05, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/chat/completions", "/v1/batch", @@ -7028,18 +6826,13 @@ "input_cost_per_token_above_272k_tokens": 1.1e-05, "input_cost_per_token_priority": 1.375e-05, "litellm_provider": "azure", - "max_input_tokens": 922000, + "max_input_tokens": 1050000, "max_output_tokens": 128000, "max_tokens": 128000, "mode": "chat", "output_cost_per_token": 3.3e-05, "output_cost_per_token_above_272k_tokens": 4.95e-05, "output_cost_per_token_priority": 8.25e-05, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/chat/completions", "/v1/batch", @@ -7076,18 +6869,13 @@ "input_cost_per_token_above_272k_tokens": 4.4e-06, "input_cost_per_token_priority": 5.5e-06, "litellm_provider": "azure", - "max_input_tokens": 922000, + "max_input_tokens": 1050000, "max_output_tokens": 128000, "max_tokens": 128000, "mode": "chat", "output_cost_per_token": 1.32e-05, "output_cost_per_token_above_272k_tokens": 1.98e-05, "output_cost_per_token_priority": 3.3e-05, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/chat/completions", "/v1/batch", @@ -7124,18 +6912,13 @@ "input_cost_per_token_above_272k_tokens": 4.4e-07, "input_cost_per_token_priority": 5.5e-07, "litellm_provider": "azure", - "max_input_tokens": 922000, + "max_input_tokens": 1050000, "max_output_tokens": 128000, "max_tokens": 128000, "mode": "chat", "output_cost_per_token": 1.32e-06, "output_cost_per_token_above_272k_tokens": 1.98e-06, "output_cost_per_token_priority": 3.3e-06, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/chat/completions", "/v1/batch", @@ -7164,7 +6947,6 @@ "supports_minimal_reasoning_effort": false }, "azure/gpt-5.5": { - "deprecation_date": "2027-10-26", "cache_read_input_token_cost": 5e-07, "cache_read_input_token_cost_above_272k_tokens": 1e-06, "cache_read_input_token_cost_priority": 1e-06, @@ -7182,11 +6964,6 @@ "output_cost_per_token_above_272k_tokens": 4.5e-05, "output_cost_per_token_priority": 6e-05, "output_cost_per_token_above_272k_tokens_priority": 9e-05, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/chat/completions", "/v1/batch", @@ -7215,7 +6992,6 @@ "supports_minimal_reasoning_effort": false }, "azure/us/gpt-5.5": { - "deprecation_date": "2027-10-26", "cache_read_input_token_cost": 5.5e-07, "cache_read_input_token_cost_above_272k_tokens": 1.1e-06, "cache_read_input_token_cost_priority": 1.38e-06, @@ -7230,11 +7006,6 @@ "max_output_tokens": 128000, "max_tokens": 128000, "mode": "chat", - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/chat/completions", "/v1/batch", @@ -7263,7 +7034,6 @@ "supports_minimal_reasoning_effort": false }, "azure/eu/gpt-5.5": { - "deprecation_date": "2027-10-26", "cache_read_input_token_cost": 5.5e-07, "cache_read_input_token_cost_above_272k_tokens": 1.1e-06, "cache_read_input_token_cost_priority": 1.38e-06, @@ -7278,11 +7048,6 @@ "max_output_tokens": 128000, "max_tokens": 128000, "mode": "chat", - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/chat/completions", "/v1/batch", @@ -7328,11 +7093,6 @@ "output_cost_per_token_above_272k_tokens": 4.5e-05, "output_cost_per_token_priority": 6e-05, "output_cost_per_token_above_272k_tokens_priority": 9e-05, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/chat/completions", "/v1/batch", @@ -7372,11 +7132,6 @@ "max_output_tokens": 128000, "max_tokens": 128000, "mode": "chat", - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/chat/completions", "/v1/batch", @@ -7416,11 +7171,6 @@ "max_output_tokens": 128000, "max_tokens": 128000, "mode": "chat", - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/chat/completions", "/v1/batch", @@ -7457,11 +7207,6 @@ "mode": "responses", "output_cost_per_token": 0.00018, "output_cost_per_token_above_272k_tokens": 0.00027, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/batch", "/v1/responses" @@ -7501,11 +7246,6 @@ "mode": "responses", "output_cost_per_token": 0.00018, "output_cost_per_token_above_272k_tokens": 0.00027, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/batch", "/v1/responses" @@ -7530,7 +7270,6 @@ "supports_web_search": true }, "azure/gpt-5.4-mini": { - "deprecation_date": "2027-09-21", "cache_read_input_token_cost": 7.5e-08, "input_cost_per_token": 7.5e-07, "litellm_provider": "azure", @@ -7539,11 +7278,6 @@ "max_tokens": 128000, "mode": "chat", "output_cost_per_token": 4.5e-06, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/chat/completions", "/v1/batch", @@ -7567,8 +7301,8 @@ "supports_tool_choice": true, "supports_vision": true, "supports_web_search": true, - "supports_none_reasoning_effort": true, - "supports_xhigh_reasoning_effort": true + "supports_none_reasoning_effort": false, + "supports_xhigh_reasoning_effort": false }, "azure/gpt-5.4-mini-2026-03-17": { "cache_read_input_token_cost": 7.5e-08, @@ -7580,11 +7314,6 @@ "max_tokens": 128000, "mode": "chat", "output_cost_per_token": 4.5e-06, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/chat/completions", "/v1/batch", @@ -7608,11 +7337,10 @@ "supports_tool_choice": true, "supports_vision": true, "supports_web_search": true, - "supports_none_reasoning_effort": true, - "supports_xhigh_reasoning_effort": true + "supports_none_reasoning_effort": false, + "supports_xhigh_reasoning_effort": false }, "azure/gpt-5.4-nano": { - "deprecation_date": "2027-09-21", "cache_read_input_token_cost": 2e-08, "input_cost_per_token": 2e-07, "litellm_provider": "azure", @@ -7621,11 +7349,6 @@ "max_tokens": 128000, "mode": "chat", "output_cost_per_token": 1.25e-06, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/chat/completions", "/v1/batch", @@ -7649,8 +7372,8 @@ "supports_tool_choice": true, "supports_vision": true, "supports_web_search": true, - "supports_none_reasoning_effort": true, - "supports_xhigh_reasoning_effort": true + "supports_none_reasoning_effort": false, + "supports_xhigh_reasoning_effort": false }, "azure/gpt-5.4-nano-2026-03-17": { "cache_read_input_token_cost": 2e-08, @@ -7662,11 +7385,6 @@ "max_tokens": 128000, "mode": "chat", "output_cost_per_token": 1.25e-06, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/chat/completions", "/v1/batch", @@ -7690,8 +7408,8 @@ "supports_tool_choice": true, "supports_vision": true, "supports_web_search": true, - "supports_none_reasoning_effort": true, - "supports_xhigh_reasoning_effort": true + "supports_none_reasoning_effort": false, + "supports_xhigh_reasoning_effort": false }, "azure/gpt-image-1": { "cache_read_input_token_cost": 1.25e-06, @@ -7725,7 +7443,6 @@ "output_cost_per_token": 0.0 }, "azure/high/1024-x-1024/gpt-image-1": { - "deprecation_date": "2026-10-23", "input_cost_per_pixel": 1.59263611e-07, "litellm_provider": "azure", "mode": "image_generation", @@ -7735,7 +7452,6 @@ ] }, "azure/high/1024-x-1536/gpt-image-1": { - "deprecation_date": "2026-10-23", "input_cost_per_pixel": 1.58945719e-07, "litellm_provider": "azure", "mode": "image_generation", @@ -7745,7 +7461,6 @@ ] }, "azure/high/1536-x-1024/gpt-image-1": { - "deprecation_date": "2026-10-23", "input_cost_per_pixel": 1.58945719e-07, "litellm_provider": "azure", "mode": "image_generation", @@ -7755,7 +7470,6 @@ ] }, "azure/low/1024-x-1024/gpt-image-1": { - "deprecation_date": "2026-10-23", "input_cost_per_pixel": 1.0490417e-08, "litellm_provider": "azure", "mode": "image_generation", @@ -7765,7 +7479,6 @@ ] }, "azure/low/1024-x-1536/gpt-image-1": { - "deprecation_date": "2026-10-23", "input_cost_per_pixel": 1.0172526e-08, "litellm_provider": "azure", "mode": "image_generation", @@ -7775,7 +7488,6 @@ ] }, "azure/low/1536-x-1024/gpt-image-1": { - "deprecation_date": "2026-10-23", "input_cost_per_pixel": 1.0172526e-08, "litellm_provider": "azure", "mode": "image_generation", @@ -7785,7 +7497,6 @@ ] }, "azure/medium/1024-x-1024/gpt-image-1": { - "deprecation_date": "2026-10-23", "input_cost_per_pixel": 4.0054321e-08, "litellm_provider": "azure", "mode": "image_generation", @@ -7795,7 +7506,6 @@ ] }, "azure/medium/1024-x-1536/gpt-image-1": { - "deprecation_date": "2026-10-23", "input_cost_per_pixel": 4.0054321e-08, "litellm_provider": "azure", "mode": "image_generation", @@ -7805,7 +7515,6 @@ ] }, "azure/medium/1536-x-1024/gpt-image-1": { - "deprecation_date": "2026-10-23", "input_cost_per_pixel": 4.0054321e-08, "litellm_provider": "azure", "mode": "image_generation", @@ -7828,7 +7537,6 @@ ] }, "azure/gpt-image-1.5": { - "deprecation_date": "2027-06-16", "cache_read_input_token_cost": 1.25e-06, "input_cost_per_token": 5e-06, "input_cost_per_image_token": 8e-06, @@ -7854,7 +7562,6 @@ ] }, "azure/gpt-image-2": { - "deprecation_date": "2027-10-21", "cache_read_input_token_cost": 1.25e-06, "input_cost_per_token": 5e-06, "input_cost_per_image_token": 8e-06, @@ -7886,7 +7593,6 @@ "supports_pdf_input": true }, "azure/low/1024-x-1024/gpt-image-1-mini": { - "deprecation_date": "2027-04-07", "input_cost_per_pixel": 2.0751953125e-09, "litellm_provider": "azure", "mode": "image_generation", @@ -7896,7 +7602,6 @@ ] }, "azure/low/1024-x-1536/gpt-image-1-mini": { - "deprecation_date": "2027-04-07", "input_cost_per_pixel": 2.0751953125e-09, "litellm_provider": "azure", "mode": "image_generation", @@ -7906,7 +7611,6 @@ ] }, "azure/low/1536-x-1024/gpt-image-1-mini": { - "deprecation_date": "2027-04-07", "input_cost_per_pixel": 2.0345052083e-09, "litellm_provider": "azure", "mode": "image_generation", @@ -7916,7 +7620,6 @@ ] }, "azure/medium/1024-x-1024/gpt-image-1-mini": { - "deprecation_date": "2027-04-07", "input_cost_per_pixel": 8.056640625e-09, "litellm_provider": "azure", "mode": "image_generation", @@ -7926,7 +7629,6 @@ ] }, "azure/medium/1024-x-1536/gpt-image-1-mini": { - "deprecation_date": "2027-04-07", "input_cost_per_pixel": 8.056640625e-09, "litellm_provider": "azure", "mode": "image_generation", @@ -7936,7 +7638,6 @@ ] }, "azure/medium/1536-x-1024/gpt-image-1-mini": { - "deprecation_date": "2027-04-07", "input_cost_per_pixel": 7.9752604167e-09, "litellm_provider": "azure", "mode": "image_generation", @@ -7946,7 +7647,6 @@ ] }, "azure/high/1024-x-1024/gpt-image-1-mini": { - "deprecation_date": "2027-04-07", "input_cost_per_pixel": 3.173828125e-08, "litellm_provider": "azure", "mode": "image_generation", @@ -7956,7 +7656,6 @@ ] }, "azure/high/1024-x-1536/gpt-image-1-mini": { - "deprecation_date": "2027-04-07", "input_cost_per_pixel": 3.173828125e-08, "litellm_provider": "azure", "mode": "image_generation", @@ -7966,7 +7665,6 @@ ] }, "azure/high/1536-x-1024/gpt-image-1-mini": { - "deprecation_date": "2027-04-07", "input_cost_per_pixel": 3.1575520833e-08, "litellm_provider": "azure", "mode": "image_generation", @@ -7994,7 +7692,6 @@ "supports_function_calling": true }, "azure/o1": { - "deprecation_date": "2026-10-21", "cache_read_input_token_cost": 7.5e-06, "input_cost_per_token": 1.5e-05, "litellm_provider": "azure", @@ -8089,7 +7786,6 @@ "supports_vision": false }, "azure/o3": { - "deprecation_date": "2026-10-21", "cache_read_input_token_cost": 5e-07, "input_cost_per_token": 2e-06, "litellm_provider": "azure", @@ -8158,11 +7854,6 @@ "max_tokens": 100000, "mode": "responses", "output_cost_per_token": 4e-05, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/chat/completions", "/v1/batch", @@ -8187,7 +7878,6 @@ "supports_web_search": true }, "azure/o3-mini": { - "deprecation_date": "2026-10-01", "cache_read_input_token_cost": 5.5e-07, "input_cost_per_token": 1.1e-06, "litellm_provider": "azure", @@ -8218,7 +7908,6 @@ "supports_vision": false }, "azure/o3-pro": { - "deprecation_date": "2026-12-17", "input_cost_per_token": 2e-05, "input_cost_per_token_batches": 1e-05, "litellm_provider": "azure", @@ -8280,7 +7969,6 @@ "supports_vision": true }, "azure/o4-mini": { - "deprecation_date": "2026-10-16", "cache_read_input_token_cost": 2.75e-07, "input_cost_per_token": 1.1e-06, "litellm_provider": "azure", @@ 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"source": "https://azure.microsoft.com/en-us/pricing/details/ai-foundry-models/fireworks/", - "supported_modalities": [ - "text", - "image" - ], - "supported_output_modalities": [ - "text" - ], - "supports_function_calling": true, - "supports_prompt_caching": true, - "supports_reasoning": true, - "supports_tool_choice": true, - "supports_vision": true - }, - "azure_ai/FW-Nemotron-3-Ultra-NVFP4": { - "cache_read_input_token_cost": 1.19e-07, - "input_cost_per_token": 6e-07, - "litellm_provider": "azure_ai", - "max_input_tokens": 262144, - "max_output_tokens": 262144, - "max_tokens": 262144, - "mode": "chat", - "output_cost_per_token": 2.4e-06, - "source": "https://fireworks.ai/models/fireworks/nemotron-3-ultra-nvfp4", - "supported_modalities": [ - "text" - ], - "supported_output_modalities": [ - "text" - ], - "supports_function_calling": true, - "supports_prompt_caching": true, - "supports_reasoning": true, - "supports_tool_choice": true - }, "azure_ai/MAI-Image-2.5": { "input_cost_per_image_token": 8e-06, "input_cost_per_token": 5e-06, @@ -9321,7 +8739,6 @@ ] }, "azure_ai/MAI-Image-2e": { - "deprecation_date": "2026-08-15", "input_cost_per_token": 5e-06, "litellm_provider": "azure_ai", "mode": "image_generation", @@ -9333,7 +8750,6 @@ ] }, "azure_ai/Llama-3.2-11B-Vision-Instruct": { - "deprecation_date": "2026-06-13", "input_cost_per_token": 3.7e-07, "litellm_provider": "azure_ai", "max_input_tokens": 128000, @@ -9347,7 +8763,6 @@ "supports_vision": true }, "azure_ai/Llama-3.2-90B-Vision-Instruct": { - "deprecation_date": "2026-06-13", "input_cost_per_token": 2.04e-06, "litellm_provider": "azure_ai", "max_input_tokens": 128000, @@ -9409,7 +8824,6 @@ "supports_tool_choice": true }, "azure_ai/Meta-Llama-3.1-405B-Instruct": { - "deprecation_date": "2026-06-13", "input_cost_per_token": 5.33e-06, "litellm_provider": "azure_ai", "max_input_tokens": 128000, @@ -9432,7 +8846,6 @@ "supports_tool_choice": true }, "azure_ai/Meta-Llama-3.1-8B-Instruct": { - "deprecation_date": "2026-06-13", "input_cost_per_token": 3e-07, "litellm_provider": "azure_ai", "max_input_tokens": 128000, @@ -9614,7 +9027,6 @@ "supports_reasoning": true }, "azure_ai/mistral-document-ai-2505": { - "deprecation_date": "2026-07-20", "litellm_provider": "azure_ai", "ocr_cost_per_page": 0.003, "mode": "ocr", @@ -9692,7 +9104,6 @@ "output_cost_per_token": 0.0 }, "azure_ai/cohere-rerank-v3.5": { - "deprecation_date": "2026-05-14", "input_cost_per_query": 0.002, "input_cost_per_token": 0.0, "litellm_provider": "azure_ai", @@ -9755,7 +9166,6 @@ "supports_tool_choice": true }, "azure_ai/deepseek-r1": { - "deprecation_date": "2026-08-13", "input_cost_per_token": 1.35e-06, "litellm_provider": "azure_ai", "max_input_tokens": 128000, @@ -9779,7 +9189,6 @@ "supports_tool_choice": true }, "azure_ai/deepseek-v3-0324": { - "deprecation_date": "2026-07-13", "input_cost_per_token": 1.14e-06, "litellm_provider": "azure_ai", "max_input_tokens": 128000, @@ -9792,7 +9201,6 @@ "supports_tool_choice": true }, "azure_ai/deepseek-v3.1": { - "deprecation_date": "2026-07-13", "input_cost_per_token": 1.23e-06, "litellm_provider": "azure_ai", "max_input_tokens": 131072, @@ -9806,7 +9214,6 @@ "supports_tool_choice": true }, "azure_ai/deepseek-v4-pro": { - "deprecation_date": "2028-02-20", "input_cost_per_token": 1.74e-06, "litellm_provider": "azure_ai", "max_input_tokens": 1000000, @@ -9820,7 +9227,6 @@ "supports_tool_choice": true }, "azure_ai/deepseek-v4-flash": { - "deprecation_date": "2028-02-20", "input_cost_per_token": 1.9e-07, "litellm_provider": "azure_ai", "max_input_tokens": 1000000, @@ -9852,7 +9258,6 @@ "supports_embedding_image_input": true }, "azure_ai/global/grok-3": { - "deprecation_date": "2026-05-01", "input_cost_per_token": 3e-06, "litellm_provider": "azure_ai", "max_input_tokens": 131072, @@ -9867,7 +9272,6 @@ "supports_web_search": true }, "azure_ai/global/grok-3-mini": { - "deprecation_date": "2026-05-01", "input_cost_per_token": 2.5e-07, "litellm_provider": "azure_ai", "max_input_tokens": 131072, @@ -9883,7 +9287,6 @@ "supports_web_search": true }, "azure_ai/grok-3": { - "deprecation_date": "2026-05-01", "input_cost_per_token": 3e-06, "litellm_provider": "azure_ai", "max_input_tokens": 131072, @@ -9898,7 +9301,6 @@ "supports_web_search": true }, "azure_ai/grok-3-mini": { - "deprecation_date": "2026-05-01", "input_cost_per_token": 2.5e-07, "litellm_provider": "azure_ai", "max_input_tokens": 131072, @@ -9927,26 +9329,7 @@ "supports_tool_choice": true, "supports_web_search": true }, - "azure_ai/grok-4.3": { - "cache_read_input_token_cost": 2e-07, - "input_cost_per_token": 1.25e-06, - "litellm_provider": "azure_ai", - "max_input_tokens": 200000, - "max_output_tokens": 200000, - "max_tokens": 200000, - "mode": "chat", - "output_cost_per_token": 2.5e-06, - "source": "https://techcommunity.microsoft.com/blog/azure-ai-foundry-blog/introducing-grok-4-3-on-microsoft-foundry-latest-generation-agentic-capabilities/4517096", - "supports_function_calling": true, - "supports_prompt_caching": true, - "supports_reasoning": true, - "supports_response_schema": true, - "supports_tool_choice": true, - "supports_vision": true, - "supports_web_search": true - }, "azure_ai/grok-4-fast-non-reasoning": { - "deprecation_date": "2026-05-01", "input_cost_per_token": 2e-07, "output_cost_per_token": 5e-07, "litellm_provider": "azure_ai", @@ -9960,7 +9343,6 @@ "supports_web_search": true }, "azure_ai/grok-4-fast-reasoning": { - "deprecation_date": "2026-05-01", "input_cost_per_token": 2e-07, "output_cost_per_token": 5e-07, "litellm_provider": "azure_ai", @@ -10038,7 +9420,6 @@ "supports_tool_choice": true }, "azure_ai/kimi-k2.5": { - "deprecation_date": "2027-01-26", "input_cost_per_token": 6e-07, "litellm_provider": "azure_ai", "max_input_tokens": 262144, @@ -10053,7 +9434,6 @@ "supports_vision": true }, "azure_ai/kimi-k2.6": { - "deprecation_date": "2027-04-16", "input_cost_per_token": 9.5e-07, "litellm_provider": "azure_ai", "max_input_tokens": 262144, @@ -10181,7 +9561,6 @@ "supports_vision": true }, "babbage-002": { - "deprecation_date": "2026-09-28", "input_cost_per_token": 4e-07, "litellm_provider": "text-completion-openai", "max_input_tokens": 16384, @@ -10230,21 +9609,6 @@ "output_cost_per_second": 0.0066027, "supports_tool_choice": true }, - "bedrock/guardrails": { - "guardrail_cost_per_unit": { - "automatedReasoningPolicyUnits": 0.00017, - "contentPolicyImageUnits": 0.00075, - "contentPolicyUnits": 0.00015, - "contextualGroundingPolicyUnits": 0.0001, - "sensitiveInformationPolicyFreeUnits": 0.0, - "sensitiveInformationPolicyUnits": 0.0001, - "topicPolicyUnits": 0.00015, - "wordPolicyUnits": 0.0 - }, - "litellm_provider": "bedrock", - "mode": "guardrail", - "source": "https://aws.amazon.com/bedrock/pricing/" - }, "bedrock/ap-northeast-1/1-month-commitment/anthropic.claude-instant-v1": { "input_cost_per_second": 0.01475, "litellm_provider": "bedrock", @@ -10343,7 +9707,6 @@ "output_cost_per_token": 2.22e-06, "supports_function_calling": true, "supports_reasoning": true, - "supports_native_structured_output": true, "supports_tool_choice": true, "source": "https://aws.amazon.com/bedrock/pricing/" }, @@ -10467,7 +9830,6 @@ "output_cost_per_token": 2.22e-06, "supports_function_calling": true, "supports_reasoning": true, - "supports_native_structured_output": true, "supports_tool_choice": true, "source": "https://aws.amazon.com/bedrock/pricing/" }, @@ -10560,7 +9922,6 @@ "output_cost_per_token": 2.22e-06, "supports_function_calling": true, "supports_reasoning": true, - "supports_native_structured_output": true, "supports_tool_choice": true, "source": "https://aws.amazon.com/bedrock/pricing/" }, @@ -10646,7 +10007,6 @@ "output_cost_per_token": 2.22e-06, "supports_function_calling": true, "supports_reasoning": true, - "supports_native_structured_output": true, "supports_tool_choice": true, "source": "https://aws.amazon.com/bedrock/pricing/" }, @@ -11050,7 +10410,6 @@ "output_cost_per_token": 2.22e-06, "supports_function_calling": true, "supports_reasoning": true, - "supports_native_structured_output": true, "supports_tool_choice": true, "source": "https://aws.amazon.com/bedrock/pricing/" }, @@ -11265,7 +10624,6 @@ "output_cost_per_token": 1.85e-06, "supports_function_calling": true, "supports_reasoning": true, - "supports_native_structured_output": true, "supports_tool_choice": true, "source": "https://aws.amazon.com/bedrock/pricing/" }, @@ -11343,7 +10701,6 @@ "output_cost_per_token": 1.85e-06, "supports_function_calling": true, "supports_reasoning": true, - "supports_native_structured_output": true, "supports_tool_choice": true, "source": "https://aws.amazon.com/bedrock/pricing/" }, @@ -11905,7 +11262,6 @@ "output_cost_per_token": 1.85e-06, "supports_function_calling": true, "supports_reasoning": true, - "supports_native_structured_output": true, "supports_tool_choice": true, "source": "https://aws.amazon.com/bedrock/pricing/" }, @@ -12192,7 +11548,6 @@ ] }, "claude-haiku-4-5-20251001": { - "deprecation_date": "2026-10-15", "cache_creation_input_token_cost": 1.25e-06, "cache_creation_input_token_cost_above_1hr": 2e-06, "cache_read_input_token_cost": 1e-07, @@ -12205,7 +11560,6 @@ "output_cost_per_token": 5e-06, "supports_assistant_prefill": true, "supports_function_calling": true, - "supports_native_structured_output": true, "supports_computer_use": true, "supports_pdf_input": true, "supports_prompt_caching": true, @@ -12216,7 +11570,6 @@ "prompt_cache_min_tokens": 4096 }, "claude-haiku-4-5": { - "deprecation_date": "2026-10-15", "cache_creation_input_token_cost": 1.25e-06, "cache_creation_input_token_cost_above_1hr": 2e-06, "cache_read_input_token_cost": 1e-07, @@ -12229,7 +11582,6 @@ "output_cost_per_token": 5e-06, "supports_assistant_prefill": true, "supports_function_calling": true, - "supports_native_structured_output": true, "supports_computer_use": true, "supports_pdf_input": true, "supports_prompt_caching": true, @@ -12365,7 +11717,6 @@ "prompt_cache_min_tokens": 1024 }, "claude-sonnet-4-5": { - "deprecation_date": "2026-09-29", "cache_creation_input_token_cost": 3.75e-06, "cache_creation_input_token_cost_above_1hr": 6e-06, "cache_creation_input_token_cost_above_1hr_above_200k_tokens": 1.2e-05, @@ -12399,7 +11750,6 @@ "prompt_cache_min_tokens": 1024 }, "claude-sonnet-4-5-20250929": { - "deprecation_date": "2026-09-29", "cache_creation_input_token_cost": 3.75e-06, "cache_creation_input_token_cost_above_1hr": 6e-06, "cache_creation_input_token_cost_above_1hr_above_200k_tokens": 1.2e-05, @@ -12434,7 +11784,6 @@ "prompt_cache_min_tokens": 1024 }, "claude-sonnet-5": { - "deprecation_date": "2027-06-30", "cache_creation_input_token_cost": 2.5e-06, "cache_creation_input_token_cost_above_1hr": 4e-06, "cache_read_input_token_cost": 2e-07, @@ -12451,11 +11800,9 @@ "search_context_size_medium": 0.01 }, "supports_adaptive_thinking": true, - "supports_mid_conversation_system": true, "supports_assistant_prefill": false, "supports_computer_use": true, "supports_function_calling": true, - "supports_native_structured_output": true, "supports_pdf_input": true, "supports_prompt_caching": true, "supports_reasoning": true, @@ -12472,15 +11819,14 @@ "prompt_cache_min_tokens": 1024 }, "claude-sonnet-4-6": { - "deprecation_date": "2027-02-17", "cache_creation_input_token_cost": 3.75e-06, "cache_creation_input_token_cost_above_1hr": 6e-06, "cache_read_input_token_cost": 3e-07, "input_cost_per_token": 3e-06, "litellm_provider": "anthropic", "max_input_tokens": 1000000, - "max_output_tokens": 128000, - "max_tokens": 128000, + "max_output_tokens": 64000, + "max_tokens": 64000, "mode": "chat", "output_cost_per_token": 1.5e-05, "search_context_cost_per_query": { @@ -12530,9 +11876,7 @@ "supports_tool_choice": true, "supports_vision": true, "supports_parallel_tool_use_config": true, - "prompt_cache_min_tokens": 1024, - "input_cost_per_token_batches": 1.5e-06, - "output_cost_per_token_batches": 7.5e-06 + "prompt_cache_min_tokens": 1024 }, "claude-opus-4-1": { "cache_creation_input_token_cost": 1.875e-05, @@ -12621,7 +11965,6 @@ "prompt_cache_min_tokens": 1024 }, "claude-opus-4-5-20251101": { - "deprecation_date": "2026-11-24", "cache_creation_input_token_cost": 6.25e-06, "cache_creation_input_token_cost_above_1hr": 1e-05, "cache_read_input_token_cost": 5e-07, @@ -12651,7 +11994,6 @@ "prompt_cache_min_tokens": 4096 }, "claude-opus-4-5": { - "deprecation_date": "2026-11-24", "cache_creation_input_token_cost": 6.25e-06, "cache_creation_input_token_cost_above_1hr": 1e-05, "cache_read_input_token_cost": 5e-07, @@ -12681,7 +12023,6 @@ "prompt_cache_min_tokens": 4096 }, "claude-opus-4-6": { - "deprecation_date": "2027-02-05", "cache_creation_input_token_cost": 6.25e-06, "cache_creation_input_token_cost_above_1hr": 1e-05, "cache_read_input_token_cost": 5e-07, @@ -12718,7 +12059,6 @@ "prompt_cache_min_tokens": 4096 }, "claude-opus-4-6-20260205": { - "deprecation_date": "2027-02-05", "cache_creation_input_token_cost": 6.25e-06, "cache_creation_input_token_cost_above_1hr": 1e-05, "cache_read_input_token_cost": 5e-07, @@ -12755,7 +12095,6 @@ "prompt_cache_min_tokens": 4096 }, "claude-opus-4-7": { - "deprecation_date": "2027-04-16", "cache_creation_input_token_cost": 6.25e-06, "cache_creation_input_token_cost_above_1hr": 1e-05, "cache_read_input_token_cost": 5e-07, @@ -12794,7 +12133,6 @@ "prompt_cache_min_tokens": 2048 }, "claude-opus-4-7-20260416": { - "deprecation_date": "2027-04-16", "cache_creation_input_token_cost": 6.25e-06, "cache_creation_input_token_cost_above_1hr": 1e-05, "cache_read_input_token_cost": 5e-07, @@ -12833,7 +12171,6 @@ "prompt_cache_min_tokens": 2048 }, "claude-fable-5": { - "deprecation_date": "2027-06-09", "cache_creation_input_token_cost": 1.25e-05, "cache_creation_input_token_cost_above_1hr": 2e-05, "cache_read_input_token_cost": 1e-06, @@ -12850,8 +12187,6 @@ "search_context_size_medium": 0.01 }, "supports_adaptive_thinking": true, - "thinking_always_on": true, - "supports_mid_conversation_system": true, "supports_assistant_prefill": false, "supports_computer_use": true, "supports_function_calling": true, @@ -12868,11 +12203,9 @@ "us": 1.1 }, "supports_output_config": true, - "prompt_cache_min_tokens": 512, - "supports_native_structured_output": true + "prompt_cache_min_tokens": 512 }, "claude-opus-5": { - "deprecation_date": "2027-07-24", "cache_creation_input_token_cost": 6.25e-06, "cache_creation_input_token_cost_above_1hr": 1e-05, "cache_read_input_token_cost": 5e-07, @@ -12889,7 +12222,6 @@ "search_context_size_medium": 0.01 }, "supports_adaptive_thinking": true, - "supports_mid_conversation_system": true, "supports_assistant_prefill": false, "supports_computer_use": true, "supports_function_calling": true, @@ -12912,7 +12244,6 @@ "prompt_cache_min_tokens": 512 }, "claude-opus-4-8": { - "deprecation_date": "2027-05-28", "cache_creation_input_token_cost": 6.25e-06, "cache_creation_input_token_cost_above_1hr": 1e-05, "cache_read_input_token_cost": 5e-07, @@ -12929,7 +12260,6 @@ "search_context_size_medium": 0.01 }, "supports_adaptive_thinking": true, - "supports_mid_conversation_system": true, "supports_assistant_prefill": false, "supports_computer_use": true, "supports_function_calling": true, @@ -13432,8 +12762,7 @@ "max_output_tokens": 4096, "max_tokens": 4096, "mode": "completion", - "output_cost_per_token": 2e-06, - "deprecation_date": "2025-09-15" + "output_cost_per_token": 2e-06 }, "command-a-03-2025": { "input_cost_per_token": 2.5e-06, @@ -13454,8 +12783,7 @@ "max_tokens": 4096, "mode": "chat", "output_cost_per_token": 6e-07, - "supports_tool_choice": true, - "deprecation_date": "2025-09-15" + "supports_tool_choice": true }, "command-nightly": { "input_cost_per_token": 1e-06, @@ -13475,8 +12803,7 @@ "mode": "chat", "output_cost_per_token": 6e-07, "supports_function_calling": true, - "supports_tool_choice": true, - "deprecation_date": "2025-09-15" + "supports_tool_choice": true }, "command-r-08-2024": { "input_cost_per_token": 1.5e-07, @@ -13498,8 +12825,7 @@ "mode": "chat", "output_cost_per_token": 1e-05, "supports_function_calling": true, - "supports_tool_choice": true, - "deprecation_date": "2025-09-15" + "supports_tool_choice": true }, "command-r-plus-08-2024": { "input_cost_per_token": 2.5e-06, @@ -13614,103 +12940,6 @@ "supports_system_messages": true, "supports_tool_choice": false }, - "dashscope/deepseek-v4-flash": { - "cache_read_input_token_cost": 4e-08, - "input_cost_per_token": 2e-07, - "litellm_provider": "dashscope", - "max_input_tokens": 1000000, - "max_output_tokens": 393216, - "max_tokens": 393216, - "mode": "chat", - "output_cost_per_token": 4e-07, - "source": "https://www.alibabacloud.com/help/en/model-studio/models", - "supports_function_calling": true, - "supports_prompt_caching": true, - "supports_reasoning": true, - "supports_response_schema": true, - "supports_tool_choice": true - }, - "dashscope/deepseek-v4-flash-0731": { - "cache_read_input_token_cost": 4e-08, - "input_cost_per_token": 2e-07, - "litellm_provider": "dashscope", - "max_input_tokens": 1000000, - "max_output_tokens": 393216, - "max_tokens": 393216, - "mode": "chat", - "output_cost_per_token": 4e-07, - "source": "https://www.alibabacloud.com/help/en/model-studio/models", - "supports_function_calling": true, - "supports_prompt_caching": true, - "supports_reasoning": true, - "supports_response_schema": true, - "supports_tool_choice": true - }, - "dashscope/deepseek-v4-pro": { - "cache_read_input_token_cost": 2e-07, - "input_cost_per_token": 2.4e-06, - "litellm_provider": "dashscope", - "max_input_tokens": 1000000, - "max_output_tokens": 393216, - "max_tokens": 393216, - "mode": "chat", - "output_cost_per_token": 4.8e-06, - "source": "https://www.alibabacloud.com/help/en/model-studio/models", - "supports_function_calling": true, - "supports_prompt_caching": true, - "supports_reasoning": true, - "supports_response_schema": true, - "supports_tool_choice": true - }, - "dashscope/glm-5.1": { - "cache_read_input_token_cost": 2.6e-07, - "input_cost_per_token": 1.4e-06, - "litellm_provider": "dashscope", - "max_input_tokens": 202745, - "max_output_tokens": 131072, - "max_tokens": 131072, - "mode": "chat", - "output_cost_per_token": 4.4e-06, - "source": "https://www.alibabacloud.com/help/en/model-studio/models", - "supports_function_calling": true, - "supports_prompt_caching": true, - "supports_reasoning": true, - "supports_response_schema": true, - "supports_tool_choice": true - }, - "dashscope/glm-5.2": { - "cache_read_input_token_cost": 2.8e-07, - "input_cost_per_token": 1.4e-06, - "litellm_provider": "dashscope", - "max_input_tokens": 1048576, - "max_output_tokens": 131072, - "max_tokens": 131072, - "mode": "chat", - "output_cost_per_token": 4.4e-06, - "source": "https://www.alibabacloud.com/help/en/model-studio/models", - "supports_function_calling": true, - "supports_prompt_caching": true, - "supports_reasoning": true, - "supports_response_schema": true, - "supports_tool_choice": true - }, - "dashscope/kimi-k2.7-code": { - "cache_read_input_token_cost": 1.9e-07, - "input_cost_per_token": 9.5e-07, - "litellm_provider": "dashscope", - "max_input_tokens": 229376, - "max_output_tokens": 16384, - "max_tokens": 16384, - "mode": "chat", - "output_cost_per_token": 4e-06, - "source": "https://www.alibabacloud.com/help/en/model-studio/models", - "supports_function_calling": true, - "supports_prompt_caching": true, - "supports_reasoning": true, - "supports_response_schema": true, - "supports_tool_choice": true, - "supports_vision": true - }, "dashscope/qwen-coder": { "input_cost_per_token": 3e-07, "litellm_provider": "dashscope", @@ -14504,23 +13733,6 @@ } ] }, - "dashscope/qwen3.8-max": { - "cache_read_input_token_cost": 2.5e-07, - "input_cost_per_token": 2e-06, - "litellm_provider": "dashscope", - "max_input_tokens": 991808, - "max_output_tokens": 131072, - "max_tokens": 131072, - "mode": "chat", - "output_cost_per_token": 6e-06, - "source": "https://www.alibabacloud.com/help/en/model-studio/models", - "supports_function_calling": true, - "supports_prompt_caching": true, - "supports_reasoning": true, - "supports_response_schema": true, - "supports_tool_choice": true, - "supports_vision": true - }, "dashscope/qwq-plus": { "input_cost_per_token": 8e-07, "litellm_provider": "dashscope", @@ -14661,25 +13873,6 @@ "supports_tool_choice": true, "supports_output_config": true }, - "databricks/databricks-claude-opus-4-6": { - "input_cost_per_token": 5.00003e-06, - "input_dbu_cost_per_token": 7.1429e-05, - "litellm_provider": "databricks", - "max_input_tokens": 1000000, - "max_output_tokens": 128000, - "max_tokens": 128000, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 2.5000010000000002e-05, - "output_dbu_cost_per_token": 0.000357143, - "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving", - "supports_assistant_prefill": true, - "supports_function_calling": true, - "supports_reasoning": true, - "supports_tool_choice": true - }, "databricks/databricks-claude-sonnet-4": { "input_cost_per_token": 2.9999900000000002e-06, "input_dbu_cost_per_token": 4.2857e-05, @@ -14737,25 +13930,6 @@ "supports_reasoning": true, "supports_tool_choice": true }, - "databricks/databricks-claude-sonnet-4-6": { - "input_cost_per_token": 2.9999900000000002e-06, - "input_dbu_cost_per_token": 4.2857e-05, - "litellm_provider": "databricks", - "max_input_tokens": 1000000, - "max_output_tokens": 64000, - "max_tokens": 64000, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 1.5000020000000002e-05, - "output_dbu_cost_per_token": 0.000214286, - "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving", - "supports_assistant_prefill": true, - "supports_function_calling": true, - "supports_reasoning": true, - "supports_tool_choice": true - }, "databricks/databricks-gemini-2-5-flash": { "input_cost_per_token": 3.0001999999999996e-07, "input_dbu_cost_per_token": 4.285999999999999e-06, @@ -14790,74 +13964,6 @@ "supports_function_calling": true, "supports_tool_choice": true }, - "databricks/databricks-gemini-3-1-flash-lite": { - "input_cost_per_token": 3.1248e-07, - "input_dbu_cost_per_token": 4.464e-06, - "litellm_provider": "databricks", - "max_input_tokens": 1048576, - "max_output_tokens": 65536, - "max_tokens": 65536, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 1.87502e-06, - "output_dbu_cost_per_token": 2.6786e-05, - "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving", - "supports_function_calling": true, - "supports_tool_choice": true - }, - "databricks/databricks-gemini-3-1-pro": { - "input_cost_per_token": 2.49998e-06, - "input_dbu_cost_per_token": 3.5714e-05, - "litellm_provider": "databricks", - "max_input_tokens": 1048576, - "max_output_tokens": 65536, - "max_tokens": 65536, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 1.5000020000000002e-05, - "output_dbu_cost_per_token": 0.000214286, - "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving", - "supports_function_calling": true, - "supports_tool_choice": true - }, - "databricks/databricks-gemini-3-flash": { - "input_cost_per_token": 6.2503e-07, - "input_dbu_cost_per_token": 8.929e-06, - "litellm_provider": "databricks", - "max_input_tokens": 1048576, - "max_output_tokens": 65536, - "max_tokens": 65536, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 3.74997e-06, - "output_dbu_cost_per_token": 5.3571e-05, - "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving", - "supports_function_calling": true, - "supports_tool_choice": true - }, - "databricks/databricks-gemini-3-pro": { - "input_cost_per_token": 2.49998e-06, - "input_dbu_cost_per_token": 3.5714e-05, - "litellm_provider": "databricks", - "max_input_tokens": 1048576, - "max_output_tokens": 65536, - "max_tokens": 65536, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 1.5000020000000002e-05, - "output_dbu_cost_per_token": 0.000214286, - "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving", - "supports_function_calling": true, - "supports_tool_choice": true - }, "databricks/databricks-gemma-3-12b": { "input_cost_per_token": 1.5000999999999998e-07, "input_dbu_cost_per_token": 2.1429999999999996e-06, @@ -14903,126 +14009,6 @@ "output_dbu_cost_per_token": 0.000142857, "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving" }, - "databricks/databricks-gpt-5-1-codex-max": { - "input_cost_per_token": 1.24999e-06, - "input_dbu_cost_per_token": 1.7857e-05, - "litellm_provider": "databricks", - "max_input_tokens": 272000, - "max_output_tokens": 128000, - "max_tokens": 128000, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 9.999990000000002e-06, - "output_dbu_cost_per_token": 0.000142857, - "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving" - }, - "databricks/databricks-gpt-5-1-codex-mini": { - "input_cost_per_token": 2.4997e-07, - "input_dbu_cost_per_token": 3.571e-06, - "litellm_provider": "databricks", - "max_input_tokens": 272000, - "max_output_tokens": 128000, - "max_tokens": 128000, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 1.99997e-06, - "output_dbu_cost_per_token": 2.8571e-05, - "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving" - }, - "databricks/databricks-gpt-5-2": { - "input_cost_per_token": 1.75e-06, - "input_dbu_cost_per_token": 2.5e-05, - "litellm_provider": "databricks", - "max_input_tokens": 272000, - "max_output_tokens": 128000, - "max_tokens": 128000, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 1.4e-05, - "output_dbu_cost_per_token": 0.0002, - "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving" - }, - "databricks/databricks-gpt-5-2-codex": { - "input_cost_per_token": 1.75e-06, - "input_dbu_cost_per_token": 2.5e-05, - "litellm_provider": "databricks", - "max_input_tokens": 272000, - "max_output_tokens": 128000, - "max_tokens": 128000, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 1.4e-05, - "output_dbu_cost_per_token": 0.0002, - "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving" - }, - "databricks/databricks-gpt-5-3-codex": { - "input_cost_per_token": 1.75e-06, - "input_dbu_cost_per_token": 2.5e-05, - "litellm_provider": "databricks", - "max_input_tokens": 272000, - "max_output_tokens": 128000, - "max_tokens": 128000, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 1.4e-05, - "output_dbu_cost_per_token": 0.0002, - "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving" - }, - "databricks/databricks-gpt-5-4": { - "input_cost_per_token": 2.49998e-06, - "input_dbu_cost_per_token": 3.5714e-05, - "litellm_provider": "databricks", - "max_input_tokens": 272000, - "max_output_tokens": 128000, - "max_tokens": 128000, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 1.5000020000000002e-05, - "output_dbu_cost_per_token": 0.000214286, - "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving" - }, - "databricks/databricks-gpt-5-4-mini": { - "input_cost_per_token": 7.4998e-07, - "input_dbu_cost_per_token": 1.0714e-05, - "litellm_provider": "databricks", - "max_input_tokens": 272000, - "max_output_tokens": 128000, - "max_tokens": 128000, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 4.50002e-06, - "output_dbu_cost_per_token": 6.4286e-05, - "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving" - }, - "databricks/databricks-gpt-5-4-nano": { - "input_cost_per_token": 1.9999e-07, - "input_dbu_cost_per_token": 2.857e-06, - "litellm_provider": "databricks", - "max_input_tokens": 272000, - "max_output_tokens": 128000, - "max_tokens": 128000, - "metadata": { - "notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation." - }, - "mode": "chat", - "output_cost_per_token": 1.24999e-06, - "output_dbu_cost_per_token": 1.7857e-05, - "source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving" - }, "databricks/databricks-gpt-5-mini": { "input_cost_per_token": 2.4997000000000006e-07, "input_dbu_cost_per_token": 3.571e-06, @@ -15247,7 +14233,6 @@ "mode": "search" }, "davinci-002": { - "deprecation_date": "2026-09-28", "input_cost_per_token": 2e-06, "litellm_provider": "text-completion-openai", "max_input_tokens": 16384, @@ -16445,17 +15430,6 @@ "supports_tool_choice": true, "supports_function_calling": true }, - "deepinfra/nvidia/NVIDIA-Nemotron-3.5-Lightning": { - "max_input_tokens": 262144, - "input_cost_per_token": 5e-08, - "output_cost_per_token": 2e-07, - "litellm_provider": "deepinfra", - "mode": "chat", - "source": "https://deepinfra.com/nvidia/NVIDIA-Nemotron-3.5-Lightning", - "supports_tool_choice": true, - "supports_function_calling": true, - "supports_reasoning": true - }, "deepinfra/nvidia/NVIDIA-Nemotron-Nano-9B-v2": { "max_tokens": 131072, "max_input_tokens": 131072, @@ -16882,14 +15856,6 @@ "notes": "APISerpent deep search (/api/search), multi-engine (Google, Bing, Yahoo, DuckDuckGo). Pricing: $0.60/1k searches." } }, - "agentcore/search": { - "input_cost_per_query": 0.0, - "litellm_provider": "agentcore", - "mode": "search", - "metadata": { - "notes": "Web Search on Amazon Bedrock AgentCore, billed by AWS on the gateway" - } - }, "tinyfish/search": { "input_cost_per_query": 0.0, "litellm_provider": "tinyfish", @@ -16898,14 +15864,6 @@ "notes": "TinyFish Search API" } }, - "nimble/search": { - "input_cost_per_query": 0.005, - "litellm_provider": "nimble", - "mode": "search", - "metadata": { - "notes": "Nimble Search API pay-as-you-go list price: $5 per 1,000 searches, up to 100 results per search. Volume plans price differently." - } - }, "elevenlabs/scribe_v1": { "input_cost_per_second": 6.11e-05, "litellm_provider": "elevenlabs", @@ -17113,9 +16071,7 @@ "supports_vision": true, "supports_native_structured_output": true, "supports_parallel_tool_use_config": true, - "prompt_cache_min_tokens": 4096, - "input_cost_per_token_batches": 5.5e-07, - "output_cost_per_token_batches": 2.75e-06 + "prompt_cache_min_tokens": 4096 }, "eu.anthropic.claude-3-5-sonnet-20240620-v1:0": { "input_cost_per_token": 3e-06, @@ -17338,9 +16294,7 @@ "supports_vision": true, "supports_native_structured_output": true, "supports_parallel_tool_use_config": true, - "prompt_cache_min_tokens": 1024, - "input_cost_per_token_batches": 1.65e-06, - "output_cost_per_token_batches": 8.25e-06 + "prompt_cache_min_tokens": 1024 }, "eu.meta.llama3-2-1b-instruct-v1:0": { "input_cost_per_token": 1.3e-07, @@ -17487,585 +16441,6 @@ "/v1/images/generations" ] }, - "fal_ai/openai/gpt-image-2": { - "litellm_provider": "fal_ai", - "metadata": { - "notes": "OpenAI gpt-image-2 served through fal.ai. fal bills by token but publishes deterministic per-image prices per size and quality, mirrored here as keyed entries fal_ai/{quality}/{width}-x-{height}/openai/gpt-image-2 that litellm's fal_ai cost calculator picks from the request params. This flat entry is the fallback when no keyed entry matches and carries the default request rate (quality=high, image_size=landscape_4_3 at 1024x768). quality=auto is priced as high" - }, - "mode": "image_generation", - "output_cost_per_image": 0.145, - "source": "https://fal.ai/models/openai/gpt-image-2", - "supported_endpoints": [ - "/v1/images/generations" - ], - "supports_vision": true - }, - "fal_ai/low/1024-x-768/openai/gpt-image-2": { - "litellm_provider": "fal_ai", - "mode": "image_generation", - "output_cost_per_image": 0.005, - "source": "https://fal.ai/models/openai/gpt-image-2", - "supported_endpoints": [ - "/v1/images/generations" - ], - "supports_vision": true - }, - "fal_ai/low/1024-x-1024/openai/gpt-image-2": { - "litellm_provider": "fal_ai", - "mode": "image_generation", - "output_cost_per_image": 0.006, - "source": "https://fal.ai/models/openai/gpt-image-2", - "supported_endpoints": [ - "/v1/images/generations" - ], - "supports_vision": true - }, - "fal_ai/low/1024-x-1536/openai/gpt-image-2": { - "litellm_provider": "fal_ai", - "mode": "image_generation", - "output_cost_per_image": 0.005, - "source": "https://fal.ai/models/openai/gpt-image-2", - "supported_endpoints": [ - "/v1/images/generations" - ], - "supports_vision": true - }, - "fal_ai/low/1920-x-1080/openai/gpt-image-2": { - "litellm_provider": "fal_ai", - "mode": "image_generation", - "output_cost_per_image": 0.005, - "source": "https://fal.ai/models/openai/gpt-image-2", - "supported_endpoints": [ - "/v1/images/generations" - ], - "supports_vision": true - }, - "fal_ai/low/2560-x-1440/openai/gpt-image-2": { - "litellm_provider": "fal_ai", - "mode": "image_generation", - "output_cost_per_image": 0.007, - "source": "https://fal.ai/models/openai/gpt-image-2", - "supported_endpoints": [ - "/v1/images/generations" - ], - "supports_vision": true - }, - "fal_ai/low/3840-x-2160/openai/gpt-image-2": { - "litellm_provider": "fal_ai", - "mode": "image_generation", - "output_cost_per_image": 0.012, - "source": "https://fal.ai/models/openai/gpt-image-2", - "supported_endpoints": [ - "/v1/images/generations" - ], - "supports_vision": true - }, - "fal_ai/medium/1024-x-768/openai/gpt-image-2": { - "litellm_provider": "fal_ai", - "mode": "image_generation", - "output_cost_per_image": 0.037, - "source": "https://fal.ai/models/openai/gpt-image-2", - "supported_endpoints": [ - "/v1/images/generations" - ], - "supports_vision": true - }, - "fal_ai/medium/1024-x-1024/openai/gpt-image-2": { - "litellm_provider": "fal_ai", - "mode": "image_generation", - "output_cost_per_image": 0.053, - "source": "https://fal.ai/models/openai/gpt-image-2", - "supported_endpoints": [ - "/v1/images/generations" - ], - "supports_vision": true - }, - "fal_ai/medium/1024-x-1536/openai/gpt-image-2": { - "litellm_provider": "fal_ai", - "mode": "image_generation", - "output_cost_per_image": 0.042, - "source": "https://fal.ai/models/openai/gpt-image-2", - "supported_endpoints": [ - "/v1/images/generations" - ], - "supports_vision": true - }, - "fal_ai/medium/1920-x-1080/openai/gpt-image-2": { - "litellm_provider": "fal_ai", - "mode": "image_generation", - "output_cost_per_image": 0.04, - "source": "https://fal.ai/models/openai/gpt-image-2", - "supported_endpoints": [ - "/v1/images/generations" - ], - "supports_vision": true - }, - "fal_ai/medium/2560-x-1440/openai/gpt-image-2": { - "litellm_provider": "fal_ai", - "mode": "image_generation", - "output_cost_per_image": 0.056, - "source": "https://fal.ai/models/openai/gpt-image-2", - "supported_endpoints": [ - "/v1/images/generations" - ], - "supports_vision": true - }, - "fal_ai/medium/3840-x-2160/openai/gpt-image-2": { - "litellm_provider": "fal_ai", - "mode": "image_generation", - "output_cost_per_image": 0.101, - "source": "https://fal.ai/models/openai/gpt-image-2", - "supported_endpoints": [ - "/v1/images/generations" - ], - "supports_vision": true - }, - "fal_ai/high/1024-x-768/openai/gpt-image-2": { - "litellm_provider": "fal_ai", - "mode": "image_generation", - "output_cost_per_image": 0.145, - "source": "https://fal.ai/models/openai/gpt-image-2", - "supported_endpoints": [ - "/v1/images/generations" - ], - "supports_vision": true - }, - "fal_ai/high/1024-x-1024/openai/gpt-image-2": { - "litellm_provider": "fal_ai", - "mode": "image_generation", - "output_cost_per_image": 0.211, - "source": "https://fal.ai/models/openai/gpt-image-2", - "supported_endpoints": [ - "/v1/images/generations" - ], - "supports_vision": true - }, - "fal_ai/high/1024-x-1536/openai/gpt-image-2": { - "litellm_provider": "fal_ai", - "mode": "image_generation", - "output_cost_per_image": 0.165, - "source": "https://fal.ai/models/openai/gpt-image-2", - "supported_endpoints": [ - "/v1/images/generations" - ], - "supports_vision": true - }, - "fal_ai/high/1920-x-1080/openai/gpt-image-2": { - "litellm_provider": "fal_ai", - "mode": "image_generation", - "output_cost_per_image": 0.158, - "source": "https://fal.ai/models/openai/gpt-image-2", - "supported_endpoints": [ - "/v1/images/generations" - ], - "supports_vision": true - }, - "fal_ai/high/2560-x-1440/openai/gpt-image-2": { - "litellm_provider": "fal_ai", - "mode": "image_generation", - "output_cost_per_image": 0.222, - "source": "https://fal.ai/models/openai/gpt-image-2", - "supported_endpoints": [ - "/v1/images/generations" - ], - "supports_vision": true - }, - "fal_ai/high/3840-x-2160/openai/gpt-image-2": { - "litellm_provider": "fal_ai", - "mode": "image_generation", - "output_cost_per_image": 0.401, - "source": "https://fal.ai/models/openai/gpt-image-2", - "supported_endpoints": [ - "/v1/images/generations" - ], - "supports_vision": true - }, - "fal_ai/gpt-image-2": { - "litellm_provider": "fal_ai", - "metadata": { - "notes": "Alias of fal_ai/openai/gpt-image-2, which litellm also accepts without the openai/ prefix. Same rates, including the keyed fal_ai/{quality}/{width}-x-{height}/gpt-image-2 entries; see that entry for details" - }, - "mode": "image_generation", - "output_cost_per_image": 0.145, - "source": "https://fal.ai/models/openai/gpt-image-2", - "supported_endpoints": [ - "/v1/images/generations" - ], - "supports_vision": true - }, - "fal_ai/low/1024-x-768/gpt-image-2": { - "litellm_provider": "fal_ai", - "mode": "image_generation", - "output_cost_per_image": 0.005, - "source": "https://fal.ai/models/openai/gpt-image-2", - "supported_endpoints": [ - "/v1/images/generations" - ], - "supports_vision": true - }, - "fal_ai/low/1024-x-1024/gpt-image-2": { - "litellm_provider": "fal_ai", - "mode": "image_generation", - "output_cost_per_image": 0.006, - "source": "https://fal.ai/models/openai/gpt-image-2", - "supported_endpoints": [ - "/v1/images/generations" - ], - "supports_vision": true - }, - "fal_ai/low/1024-x-1536/gpt-image-2": { - "litellm_provider": "fal_ai", - "mode": "image_generation", - "output_cost_per_image": 0.005, - "source": "https://fal.ai/models/openai/gpt-image-2", - "supported_endpoints": [ - "/v1/images/generations" - ], - "supports_vision": true - }, - "fal_ai/low/1920-x-1080/gpt-image-2": { - "litellm_provider": "fal_ai", - "mode": "image_generation", - "output_cost_per_image": 0.005, - "source": "https://fal.ai/models/openai/gpt-image-2", - "supported_endpoints": [ - "/v1/images/generations" - ], - "supports_vision": true - }, - "fal_ai/low/2560-x-1440/gpt-image-2": { - "litellm_provider": "fal_ai", - "mode": "image_generation", - "output_cost_per_image": 0.007, - "source": "https://fal.ai/models/openai/gpt-image-2", - "supported_endpoints": [ - "/v1/images/generations" - ], - "supports_vision": true - }, - "fal_ai/low/3840-x-2160/gpt-image-2": { - "litellm_provider": "fal_ai", - "mode": "image_generation", - "output_cost_per_image": 0.012, - "source": "https://fal.ai/models/openai/gpt-image-2", - "supported_endpoints": [ - "/v1/images/generations" - ], - "supports_vision": true - }, - "fal_ai/medium/1024-x-768/gpt-image-2": { - "litellm_provider": "fal_ai", - "mode": "image_generation", - "output_cost_per_image": 0.037, - "source": "https://fal.ai/models/openai/gpt-image-2", - "supported_endpoints": [ - "/v1/images/generations" - ], - "supports_vision": true - }, - "fal_ai/medium/1024-x-1024/gpt-image-2": { - "litellm_provider": "fal_ai", - "mode": "image_generation", - "output_cost_per_image": 0.053, - "source": "https://fal.ai/models/openai/gpt-image-2", - "supported_endpoints": [ - "/v1/images/generations" - ], - "supports_vision": true - }, - "fal_ai/medium/1024-x-1536/gpt-image-2": { - "litellm_provider": "fal_ai", - "mode": "image_generation", - "output_cost_per_image": 0.042, - "source": "https://fal.ai/models/openai/gpt-image-2", - "supported_endpoints": [ - "/v1/images/generations" - ], - "supports_vision": true - }, - "fal_ai/medium/1920-x-1080/gpt-image-2": { - "litellm_provider": "fal_ai", - "mode": "image_generation", - "output_cost_per_image": 0.04, - "source": "https://fal.ai/models/openai/gpt-image-2", - "supported_endpoints": [ - "/v1/images/generations" - ], - "supports_vision": true - }, - "fal_ai/medium/2560-x-1440/gpt-image-2": { - "litellm_provider": "fal_ai", - "mode": "image_generation", - "output_cost_per_image": 0.056, - "source": "https://fal.ai/models/openai/gpt-image-2", - "supported_endpoints": [ - "/v1/images/generations" - ], - "supports_vision": true - }, - "fal_ai/medium/3840-x-2160/gpt-image-2": { - "litellm_provider": "fal_ai", - "mode": "image_generation", - "output_cost_per_image": 0.101, - "source": "https://fal.ai/models/openai/gpt-image-2", - "supported_endpoints": [ - "/v1/images/generations" - ], - "supports_vision": true - }, - "fal_ai/high/1024-x-768/gpt-image-2": { - "litellm_provider": "fal_ai", - "mode": "image_generation", - "output_cost_per_image": 0.145, - "source": "https://fal.ai/models/openai/gpt-image-2", - "supported_endpoints": [ - "/v1/images/generations" - ], - "supports_vision": true - }, - "fal_ai/high/1024-x-1024/gpt-image-2": { - "litellm_provider": "fal_ai", - "mode": "image_generation", - "output_cost_per_image": 0.211, - "source": "https://fal.ai/models/openai/gpt-image-2", - "supported_endpoints": [ - "/v1/images/generations" - ], - "supports_vision": true - }, - "fal_ai/high/1024-x-1536/gpt-image-2": { - "litellm_provider": "fal_ai", - "mode": "image_generation", - "output_cost_per_image": 0.165, - "source": "https://fal.ai/models/openai/gpt-image-2", - "supported_endpoints": [ - "/v1/images/generations" - ], - "supports_vision": true - }, - "fal_ai/high/1920-x-1080/gpt-image-2": { - "litellm_provider": "fal_ai", - "mode": "image_generation", - "output_cost_per_image": 0.158, - "source": "https://fal.ai/models/openai/gpt-image-2", - "supported_endpoints": [ - "/v1/images/generations" - ], - "supports_vision": true - }, - "fal_ai/high/2560-x-1440/gpt-image-2": { - "litellm_provider": "fal_ai", - "mode": "image_generation", - "output_cost_per_image": 0.222, - "source": "https://fal.ai/models/openai/gpt-image-2", - "supported_endpoints": [ - "/v1/images/generations" - ], - "supports_vision": true - }, - "fal_ai/high/3840-x-2160/gpt-image-2": { - "litellm_provider": "fal_ai", - "mode": "image_generation", - "output_cost_per_image": 0.401, - "source": "https://fal.ai/models/openai/gpt-image-2", - "supported_endpoints": [ - "/v1/images/generations" - ], - "supports_vision": true - }, - "fal_ai/openai/gpt-image-2/edit": { - "litellm_provider": "fal_ai", - "metadata": { - "notes": "Editing endpoint of gpt-image-2 on fal.ai, reached through the image generation path with fal's image_urls param since /v1/images/edits is not wired for fal_ai. Prices include one input image and live in keyed entries fal_ai/{quality}/{width}-x-{height}/openai/gpt-image-2/edit. 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"deprecation_date": "2026-10-23", "input_cost_per_token": 3e-06, "litellm_provider": "openai", "max_input_tokens": 16385, @@ -19391,7 +17764,6 @@ } }, "gemini-2.5-flash": { - "deprecation_date": "2026-10-20", "cache_read_input_token_cost": 3e-08, "input_cost_per_audio_token": 1e-06, "input_cost_per_token": 3e-07, @@ -19437,7 +17809,6 @@ "supports_image_size": false }, "gemini-2.5-flash-image": { - "deprecation_date": "2026-10-02", "cache_read_input_token_cost": 3e-08, "input_cost_per_audio_token": 1e-06, "input_cost_per_token": 3e-07, @@ -19482,7 +17853,6 @@ "supports_image_size": false }, "gemini-3-pro-image": { - "deprecation_date": "2027-05-28", "input_cost_per_image": 0.0011, "input_cost_per_token": 2e-06, "input_cost_per_token_batches": 1e-06, @@ -19563,7 +17933,6 @@ "web_search_billing_unit": "per_query" }, "gemini-3.1-flash-image": { - "deprecation_date": "2027-05-28", "input_cost_per_image": 0.00056, "input_cost_per_token": 5e-07, "litellm_provider": "vertex_ai-language-models", @@ -19639,44 +18008,6 @@ }, "web_search_billing_unit": "per_query" }, - 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"regional_endpoint_uplift_multiplier": 1.1, "source": "https://cloud.google.com/vertex-ai/generative-ai/pricing", "supported_endpoints": [ "/v1/chat/completions", @@ -20502,7 +18824,7 @@ "supports_web_search": true, "supports_native_streaming": true, "input_cost_per_token_priority": 2.7e-06, - "input_cost_per_audio_token_priority": 2.7e-06, + "input_cost_per_audio_token_priority": 1.8e-06, "output_cost_per_token_priority": 1.62e-05, "cache_read_input_token_cost_priority": 2.7e-07, "search_context_cost_per_query": { @@ -20510,86 +18832,23 @@ "search_context_size_medium": 0.014, "search_context_size_high": 0.014 }, - "web_search_billing_unit": "per_query", - "input_cost_per_token_batches": 7.5e-07, - "output_cost_per_token_batches": 4.5e-06, - "input_cost_per_token_flex": 7.5e-07, - "output_cost_per_token_flex": 4.5e-06, - "cache_read_input_token_cost_flex": 7.5e-08 - }, - "vertex_ai/gemini-3.6-flash": { - "prompt_cache_min_tokens": 4096, - "cache_read_input_token_cost": 7.5e-08, - "cache_read_input_token_cost_flex": 3.75e-08, - 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"supports_system_messages": true, - "supports_tool_choice": true, - "supports_url_context": true, - "supports_video_input": true, - "supports_vision": true, - "supports_web_search": true, - "supports_native_streaming": true, - "input_cost_per_token_priority": 1.35e-06, - "output_cost_per_token_priority": 6.75e-06, - "cache_read_input_token_cost_priority": 1.35e-07, - "search_context_cost_per_query": { - "search_context_size_low": 0.014, - "search_context_size_medium": 0.014, - "search_context_size_high": 0.014 - }, "web_search_billing_unit": "per_query" }, - "vertex_ai/gemini-3.7-flash": { - "prompt_cache_min_tokens": 4096, - "cache_read_input_token_cost": 7.5e-08, - "cache_read_input_token_cost_flex": 3.75e-08, - "input_cost_per_token": 7.5e-07, - "input_cost_per_token_batches": 3.75e-07, - "input_cost_per_token_flex": 3.75e-07, + "vertex_ai/gemini-3.6-flash": { + "cache_read_input_token_cost": 1.5e-07, + "cache_read_input_token_cost_flex": 7.5e-08, + "input_cost_per_token": 1.5e-06, + "input_cost_per_token_batches": 7.5e-07, + "input_cost_per_token_flex": 7.5e-07, "litellm_provider": "vertex_ai", "max_input_tokens": 1048576, "max_output_tokens": 65536, "max_tokens": 65536, "mode": "chat", - "output_cost_per_reasoning_token": 3.75e-06, - "output_cost_per_token": 3.75e-06, - "output_cost_per_token_batches": 1.875e-06, - "output_cost_per_token_flex": 1.875e-06, - "regional_endpoint_uplift_multiplier": 1.1, + "output_cost_per_reasoning_token": 7.5e-06, + "output_cost_per_token": 7.5e-06, + "output_cost_per_token_batches": 3.75e-06, + "output_cost_per_token_flex": 3.75e-06, "source": "https://cloud.google.com/vertex-ai/generative-ai/pricing", "supported_endpoints": [ "/v1/chat/completions", @@ -20619,9 +18878,9 @@ "supports_vision": true, "supports_web_search": true, "supports_native_streaming": true, - "input_cost_per_token_priority": 1.35e-06, - "output_cost_per_token_priority": 6.75e-06, - "cache_read_input_token_cost_priority": 1.35e-07, + "input_cost_per_token_priority": 2.7e-06, + "output_cost_per_token_priority": 1.35e-05, + "cache_read_input_token_cost_priority": 2.7e-07, "search_context_cost_per_query": { "search_context_size_low": 0.014, "search_context_size_medium": 0.014, @@ -20630,7 +18889,6 @@ "web_search_billing_unit": "per_query" }, "vertex_ai/gemini-3.1-pro-preview": { - "prompt_cache_min_tokens": 4096, "cache_read_input_token_cost": 2e-07, "cache_read_input_token_cost_above_200k_tokens": 4e-07, "cache_creation_input_token_cost_above_200k_tokens": 2.5e-07, @@ -20688,7 +18946,6 @@ "web_search_billing_unit": "per_query" }, "vertex_ai/gemini-3.1-pro-preview-customtools": { - "prompt_cache_min_tokens": 4096, "cache_read_input_token_cost": 2e-07, "cache_read_input_token_cost_above_200k_tokens": 4e-07, "cache_creation_input_token_cost_above_200k_tokens": 2.5e-07, @@ -20909,7 +19166,6 @@ "web_search_billing_unit": "per_query" }, "gemini/gemini-robotics-er-1.6-preview": { - "deprecation_date": "2026-08-31", "input_cost_per_audio_token": 2e-06, "input_cost_per_token": 1e-06, "litellm_provider": "gemini", @@ -20980,7 +19236,6 @@ "supports_vision": true }, "gemini-embedding-001": { - "deprecation_date": "2028-05-20", "input_cost_per_token": 1.5e-07, "litellm_provider": "vertex_ai-embedding-models", "max_input_tokens": 2048, @@ -21423,8 +19678,8 @@ "web_search_billing_unit": "per_query" }, "gemini/gemini-3.1-flash-image": { - "input_cost_per_token": 5e-07, - "input_cost_per_token_batches": 2.5e-07, + "input_cost_per_token": 2.5e-07, + "input_cost_per_token_batches": 1.25e-07, "litellm_provider": "gemini", "max_input_tokens": 65536, "max_output_tokens": 32768, @@ -21432,8 +19687,8 @@ "mode": "image_generation", "output_cost_per_image": 0.045, "output_cost_per_image_token": 6e-05, - "output_cost_per_token": 3e-06, - "output_cost_per_token_batches": 1.5e-06, + "output_cost_per_token": 1.5e-06, + "output_cost_per_token_batches": 7.5e-07, "rpm": 1000, "tpm": 4000000, "source": "https://ai.google.dev/gemini-api/docs/pricing#gemini-3.1-flash-image", @@ -21466,8 +19721,8 @@ }, "gemini/gemini-3.1-flash-image-preview": { "deprecation_date": "2026-06-25", - "input_cost_per_token": 5e-07, - "input_cost_per_token_batches": 2.5e-07, + "input_cost_per_token": 2.5e-07, + "input_cost_per_token_batches": 1.25e-07, "litellm_provider": "gemini", "max_input_tokens": 65536, "max_output_tokens": 32768, @@ -21475,8 +19730,8 @@ "mode": "image_generation", "output_cost_per_image": 0.045, "output_cost_per_image_token": 6e-05, - "output_cost_per_token": 3e-06, - "output_cost_per_token_batches": 1.5e-06, + "output_cost_per_token": 1.5e-06, + "output_cost_per_token_batches": 7.5e-07, "rpm": 1000, "tpm": 4000000, "source": "https://ai.google.dev/gemini-api/docs/pricing#gemini-3.1-flash-image-preview", @@ -21507,42 +19762,6 @@ }, "web_search_billing_unit": "per_query" }, - "gemini/gemini-3.1-flash-lite-image": { - "input_cost_per_image": 0.00028, - "input_cost_per_token": 2.5e-07, - "input_cost_per_token_batches": 1.25e-07, - "litellm_provider": "gemini", - "max_input_tokens": 65536, - "max_output_tokens": 4096, - "max_tokens": 4096, - "mode": "image_generation", - "output_cost_per_image": 0.0336, - "output_cost_per_image_token": 3e-05, - "output_cost_per_token": 1.5e-06, - "output_cost_per_token_batches": 7.5e-07, - "rpm": 1000, - "source": "https://ai.google.dev/gemini-api/docs/pricing#gemini-3.1-flash-lite-image", - "supported_endpoints": [ - "/v1/chat/completions", - "/v1/completions", - "/v1/batch" - ], - "supported_modalities": [ - "text", - "image" - ], - "supported_output_modalities": [ - "text", - "image" - ], - "supports_function_calling": true, - "supports_prompt_caching": false, - "supports_reasoning": false, - "supports_response_schema": false, - "supports_system_messages": true, - "supports_vision": true, - "tpm": 4000000 - }, "gemini/deep-research-pro-preview-12-2025": { "input_cost_per_image": 0.0011, "input_cost_per_token": 2e-06, @@ -22234,9 +20453,8 @@ "web_search_billing_unit": "per_query" }, "gemini/gemini-3.5-flash": { - "prompt_cache_min_tokens": 4096, "cache_read_input_token_cost": 1.5e-07, - "input_cost_per_audio_token": 1.5e-06, + "input_cost_per_audio_token": 1e-06, "input_cost_per_token": 1.5e-06, "litellm_provider": "gemini", "max_input_tokens": 1048576, @@ -22278,7 +20496,7 @@ "supports_native_streaming": true, "tpm": 800000, "input_cost_per_token_priority": 2.7e-06, - "input_cost_per_audio_token_priority": 2.7e-06, + "input_cost_per_audio_token_priority": 1.8e-06, "output_cost_per_token_priority": 1.62e-05, "cache_read_input_token_cost_priority": 2.7e-07, "search_context_cost_per_query": { @@ -22286,87 +20504,23 @@ "search_context_size_medium": 0.014, "search_context_size_high": 0.014 }, - "web_search_billing_unit": "per_query", - "input_cost_per_token_batches": 7.5e-07, - "output_cost_per_token_batches": 4.5e-06, - "input_cost_per_token_flex": 7.5e-07, - "output_cost_per_token_flex": 4.5e-06, - "cache_read_input_token_cost_flex": 8e-08 - }, - "gemini/gemini-3.6-flash": { - "prompt_cache_min_tokens": 4096, - "cache_read_input_token_cost": 7.5e-08, - "cache_read_input_token_cost_flex": 3.75e-08, - "input_cost_per_token": 7.5e-07, - "input_cost_per_token_batches": 3.75e-07, - "input_cost_per_token_flex": 3.75e-07, - "litellm_provider": "gemini", - "max_input_tokens": 1048576, - "max_output_tokens": 65536, - "max_tokens": 65536, - "mode": "chat", - "output_cost_per_reasoning_token": 3.75e-06, - "output_cost_per_token": 3.75e-06, - "output_cost_per_token_batches": 1.875e-06, - "output_cost_per_token_flex": 1.875e-06, - "rpm": 2000, - "source": "https://ai.google.dev/pricing/gemini-3", - "supported_endpoints": [ - "/v1/chat/completions", - "/v1/completions", - "/v1/batch" - ], - "supported_modalities": [ - "text", - "image", - "audio", - "video" - ], - "supported_output_modalities": [ - "text" - ], - "supports_audio_output": false, - "supports_audio_input": true, - "supports_function_calling": true, - "supports_parallel_function_calling": true, - "supports_pdf_input": true, - "supports_prompt_caching": true, - "supports_reasoning": true, - "supports_response_schema": true, - "supports_system_messages": true, - "supports_tool_choice": true, - "supports_url_context": true, - "supports_video_input": true, - "supports_vision": true, - "supports_web_search": true, - "supports_native_streaming": true, - "tpm": 800000, - "input_cost_per_token_priority": 1.35e-06, - "output_cost_per_token_priority": 6.75e-06, - "cache_read_input_token_cost_priority": 1.35e-07, - "search_context_cost_per_query": { - "search_context_size_low": 0.014, - "search_context_size_medium": 0.014, - "search_context_size_high": 0.014 - }, "web_search_billing_unit": "per_query" }, - "gemini/gemini-3.7-flash": { - "prompt_cache_min_tokens": 4096, - "cache_read_input_token_cost": 7.5e-08, - "cache_read_input_token_cost_flex": 3.75e-08, - "input_cost_per_token": 7.5e-07, - "input_cost_per_token_batches": 3.75e-07, - "input_cost_per_token_flex": 3.75e-07, + "gemini/gemini-3.6-flash": { + "cache_read_input_token_cost": 1.5e-07, + "cache_read_input_token_cost_flex": 7.5e-08, + "input_cost_per_token": 1.5e-06, + "input_cost_per_token_batches": 7.5e-07, + "input_cost_per_token_flex": 7.5e-07, "litellm_provider": "gemini", "max_input_tokens": 1048576, "max_output_tokens": 65536, "max_tokens": 65536, "mode": "chat", - "output_cost_per_reasoning_token": 3.75e-06, - "output_cost_per_token": 3.75e-06, - "output_cost_per_token_batches": 1.875e-06, - "output_cost_per_token_flex": 1.875e-06, + "output_cost_per_reasoning_token": 7.5e-06, + "output_cost_per_token": 7.5e-06, + "output_cost_per_token_batches": 3.75e-06, + "output_cost_per_token_flex": 3.75e-06, "rpm": 2000, "source": "https://ai.google.dev/pricing/gemini-3", "supported_endpoints": [ @@ -22399,9 +20553,9 @@ "supports_web_search": true, "supports_native_streaming": true, "tpm": 800000, - "input_cost_per_token_priority": 1.35e-06, - "output_cost_per_token_priority": 6.75e-06, - "cache_read_input_token_cost_priority": 1.35e-07, + "input_cost_per_token_priority": 2.7e-06, + "output_cost_per_token_priority": 1.35e-05, + "cache_read_input_token_cost_priority": 2.7e-07, "search_context_cost_per_query": { "search_context_size_low": 0.014, "search_context_size_medium": 0.014, @@ -22443,7 +20597,6 @@ "tpm": 800000 }, "gemini/gemini-3.1-pro-preview": { - "prompt_cache_min_tokens": 4096, "cache_read_input_token_cost": 2e-07, "cache_read_input_token_cost_above_200k_tokens": 4e-07, "input_cost_per_token": 2e-06, @@ -22501,7 +20654,6 @@ "web_search_billing_unit": "per_query" }, "gemini/gemini-3.1-pro-preview-customtools": { - "prompt_cache_min_tokens": 4096, "cache_read_input_token_cost": 2e-07, "cache_read_input_token_cost_above_200k_tokens": 4e-07, "input_cost_per_token": 2e-06, @@ -22640,10 +20792,8 @@ "supports_vision": true }, "gemini-3.5-flash": { - "prompt_cache_min_tokens": 4096, - "deprecation_date": "2027-05-19", "cache_read_input_token_cost": 1.5e-07, - "input_cost_per_audio_token": 1.5e-06, + "input_cost_per_audio_token": 1e-06, "input_cost_per_token": 1.5e-06, "litellm_provider": "vertex_ai-language-models", "max_input_tokens": 1048576, @@ -22683,7 +20833,7 @@ "supports_web_search": true, "supports_native_streaming": true, "input_cost_per_token_priority": 2.7e-06, - "input_cost_per_audio_token_priority": 2.7e-06, + "input_cost_per_audio_token_priority": 1.8e-06, "output_cost_per_token_priority": 1.62e-05, "cache_read_input_token_cost_priority": 2.7e-07, "search_context_cost_per_query": { @@ -22691,85 +20841,23 @@ "search_context_size_medium": 0.014, "search_context_size_high": 0.014 }, - "web_search_billing_unit": "per_query", - "input_cost_per_token_batches": 7.5e-07, - "output_cost_per_token_batches": 4.5e-06, - "input_cost_per_token_flex": 7.5e-07, - "output_cost_per_token_flex": 4.5e-06, - "cache_read_input_token_cost_flex": 7.5e-08 - }, - "gemini-3.6-flash": { - "prompt_cache_min_tokens": 4096, - "cache_read_input_token_cost": 7.5e-08, - "cache_read_input_token_cost_flex": 3.75e-08, - "input_cost_per_token": 7.5e-07, - "input_cost_per_token_batches": 3.75e-07, - "input_cost_per_token_flex": 3.75e-07, - "litellm_provider": "vertex_ai-language-models", - "max_input_tokens": 1048576, - "max_output_tokens": 65536, - "max_tokens": 65536, - "mode": "chat", - "output_cost_per_reasoning_token": 3.75e-06, - "output_cost_per_token": 3.75e-06, - "output_cost_per_token_batches": 1.875e-06, - "output_cost_per_token_flex": 1.875e-06, - "source": "https://ai.google.dev/pricing/gemini-3", - "supported_endpoints": [ - "/v1/chat/completions", - "/v1/completions", - "/v1/batch" - ], - "supported_modalities": [ - "text", - "image", - "audio", - "video" - ], - "supported_output_modalities": [ - "text" - ], - "supports_audio_output": false, - "supports_audio_input": true, - "supports_function_calling": true, - "supports_parallel_function_calling": true, - "supports_pdf_input": true, - "supports_prompt_caching": true, - "supports_reasoning": true, - "supports_response_schema": true, - "supports_system_messages": true, - "supports_tool_choice": true, - "supports_url_context": true, - "supports_video_input": true, - "supports_vision": true, - "supports_web_search": true, - "supports_native_streaming": true, - "input_cost_per_token_priority": 1.35e-06, - "output_cost_per_token_priority": 6.75e-06, - "cache_read_input_token_cost_priority": 1.35e-07, - "search_context_cost_per_query": { - "search_context_size_low": 0.014, - "search_context_size_medium": 0.014, - "search_context_size_high": 0.014 - }, "web_search_billing_unit": "per_query" }, - "gemini-3.7-flash": { - "prompt_cache_min_tokens": 4096, - "cache_read_input_token_cost": 7.5e-08, - "cache_read_input_token_cost_flex": 3.75e-08, - "input_cost_per_token": 7.5e-07, - "input_cost_per_token_batches": 3.75e-07, - "input_cost_per_token_flex": 3.75e-07, + "gemini-3.6-flash": { + "cache_read_input_token_cost": 1.5e-07, + "cache_read_input_token_cost_flex": 7.5e-08, + "input_cost_per_token": 1.5e-06, + "input_cost_per_token_batches": 7.5e-07, + "input_cost_per_token_flex": 7.5e-07, "litellm_provider": "vertex_ai-language-models", "max_input_tokens": 1048576, "max_output_tokens": 65536, "max_tokens": 65536, "mode": "chat", - "output_cost_per_reasoning_token": 3.75e-06, - "output_cost_per_token": 3.75e-06, - "output_cost_per_token_batches": 1.875e-06, - "output_cost_per_token_flex": 1.875e-06, + "output_cost_per_reasoning_token": 7.5e-06, + "output_cost_per_token": 7.5e-06, + "output_cost_per_token_batches": 3.75e-06, + "output_cost_per_token_flex": 3.75e-06, "source": "https://ai.google.dev/pricing/gemini-3", "supported_endpoints": [ "/v1/chat/completions", @@ -22800,9 +20888,9 @@ "supports_vision": true, "supports_web_search": true, "supports_native_streaming": true, - "input_cost_per_token_priority": 1.35e-06, - "output_cost_per_token_priority": 6.75e-06, - "cache_read_input_token_cost_priority": 1.35e-07, + "input_cost_per_token_priority": 2.7e-06, + "output_cost_per_token_priority": 1.35e-05, + "cache_read_input_token_cost_priority": 2.7e-07, "search_context_cost_per_query": { "search_context_size_low": 0.014, "search_context_size_medium": 0.014, @@ -24026,9 +22114,7 @@ "supports_vision": true, "supports_native_structured_output": true, "supports_parallel_tool_use_config": true, - "prompt_cache_min_tokens": 1024, - "input_cost_per_token_batches": 1.5e-06, - "output_cost_per_token_batches": 7.5e-06 + "prompt_cache_min_tokens": 1024 }, "global.anthropic.claude-sonnet-4-20250514-v1:0": { "cache_creation_input_token_cost": 3.75e-06, @@ -24086,9 +22172,7 @@ "supports_vision": true, "supports_native_structured_output": true, "supports_parallel_tool_use_config": true, - "prompt_cache_min_tokens": 4096, - "input_cost_per_token_batches": 5e-07, - "output_cost_per_token_batches": 2.5e-06 + "prompt_cache_min_tokens": 4096 }, "global.amazon.nova-2-lite-v1:0": { "cache_read_input_token_cost": 7.5e-08, @@ -24152,7 +22236,6 @@ "supports_tool_choice": true }, "gpt-3.5-turbo-16k": { - "deprecation_date": "2026-10-23", "input_cost_per_token": 3e-06, "litellm_provider": "openai", "max_input_tokens": 16385, @@ -24165,7 +22248,6 @@ "supports_tool_choice": true }, "gpt-3.5-turbo-instruct": { - "deprecation_date": "2026-09-28", "input_cost_per_token": 1.5e-06, "litellm_provider": "text-completion-openai", "max_input_tokens": 8192, @@ -24288,7 +22370,6 @@ "supports_vision": true }, "gpt-4-turbo-preview": { - "deprecation_date": "2026-03-26", "input_cost_per_token": 1e-05, "litellm_provider": "openai", "max_input_tokens": 128000, @@ -24317,11 +22398,6 @@ "output_cost_per_token": 8e-06, "output_cost_per_token_batches": 4e-06, "output_cost_per_token_priority": 1.4e-05, - "search_context_cost_per_query": { - "search_context_size_high": 0.025, - "search_context_size_low": 0.025, - "search_context_size_medium": 0.025 - }, "supported_endpoints": [ "/v1/chat/completions", "/v1/batch", @@ -24359,11 +22435,6 @@ "output_cost_per_token": 8e-06, "output_cost_per_token_priority": 1.4e-05, "output_cost_per_token_batches": 4e-06, - "search_context_cost_per_query": { - "search_context_size_high": 0.025, - "search_context_size_low": 0.025, - "search_context_size_medium": 0.025 - }, "supported_endpoints": [ "/v1/chat/completions", "/v1/batch", @@ -24401,11 +22472,6 @@ "output_cost_per_token": 1.6e-06, "output_cost_per_token_batches": 8e-07, "output_cost_per_token_priority": 2.8e-06, - "search_context_cost_per_query": { - "search_context_size_high": 0.025, - "search_context_size_low": 0.025, - "search_context_size_medium": 0.025 - }, "supported_endpoints": [ "/v1/chat/completions", "/v1/batch", @@ -24443,11 +22509,6 @@ "output_cost_per_token": 1.6e-06, "output_cost_per_token_priority": 2.8e-06, "output_cost_per_token_batches": 8e-07, - "search_context_cost_per_query": { - "search_context_size_high": 0.025, - "search_context_size_low": 0.025, - "search_context_size_medium": 0.025 - }, "supported_endpoints": [ "/v1/chat/completions", "/v1/batch", @@ -24904,8 +22965,7 @@ "supports_response_schema": false, "supports_system_messages": true, "supports_tool_choice": true, - "supports_vision": false, - "deprecation_date": "2027-01-20" + "supports_vision": false }, "gpt-4o-mini": { "cache_read_input_token_cost": 7.5e-08, @@ -25072,11 +23132,6 @@ "mode": "chat", "output_cost_per_token": 6e-07, "output_cost_per_token_batches": 3e-07, - "search_context_cost_per_query": { - "search_context_size_high": 0.03, - "search_context_size_low": 0.025, - "search_context_size_medium": 0.0275 - }, "supports_function_calling": true, "supports_parallel_function_calling": true, "supports_pdf_input": true, @@ -25211,11 +23266,6 @@ "mode": "chat", "output_cost_per_token": 1e-05, "output_cost_per_token_batches": 5e-06, - "search_context_cost_per_query": { - "search_context_size_high": 0.05, - "search_context_size_low": 0.03, - "search_context_size_medium": 0.035 - }, "supports_function_calling": true, "supports_parallel_function_calling": true, "supports_pdf_input": true, @@ -25298,7 +23348,6 @@ "supports_pdf_input": true }, "low/1024-x-1024/gpt-image-1.5": { - "deprecation_date": "2026-12-01", "input_cost_per_image": 0.009, "litellm_provider": "openai", "mode": "image_generation", @@ -25310,7 +23359,6 @@ "supports_pdf_input": true }, "low/1024-x-1536/gpt-image-1.5": { - "deprecation_date": "2026-12-01", "input_cost_per_image": 0.013, "litellm_provider": "openai", "mode": "image_generation", @@ -25322,7 +23370,6 @@ "supports_pdf_input": true }, "low/1536-x-1024/gpt-image-1.5": { - "deprecation_date": "2026-12-01", "input_cost_per_image": 0.013, "litellm_provider": "openai", "mode": "image_generation", @@ -25334,7 +23381,6 @@ "supports_pdf_input": true }, "medium/1024-x-1024/gpt-image-1.5": { - "deprecation_date": "2026-12-01", "input_cost_per_image": 0.034, "litellm_provider": "openai", "mode": "image_generation", @@ -25346,7 +23392,6 @@ "supports_pdf_input": true }, "medium/1024-x-1536/gpt-image-1.5": { - "deprecation_date": "2026-12-01", "input_cost_per_image": 0.05, "litellm_provider": "openai", "mode": "image_generation", @@ -25358,7 +23403,6 @@ "supports_pdf_input": true }, "medium/1536-x-1024/gpt-image-1.5": { - "deprecation_date": "2026-12-01", "input_cost_per_image": 0.05, "litellm_provider": "openai", "mode": "image_generation", @@ -25370,7 +23414,6 @@ "supports_pdf_input": true }, "high/1024-x-1024/gpt-image-1.5": { - "deprecation_date": "2026-12-01", "input_cost_per_image": 0.133, "litellm_provider": "openai", "mode": "image_generation", @@ -25382,7 +23425,6 @@ "supports_pdf_input": true }, "high/1024-x-1536/gpt-image-1.5": { - "deprecation_date": "2026-12-01", "input_cost_per_image": 0.2, "litellm_provider": "openai", "mode": "image_generation", @@ -25394,7 +23436,6 @@ "supports_pdf_input": true }, "high/1536-x-1024/gpt-image-1.5": { - "deprecation_date": "2026-12-01", "input_cost_per_image": 0.2, "litellm_provider": "openai", "mode": "image_generation", @@ -25406,7 +23447,6 @@ "supports_pdf_input": true }, "standard/1024-x-1024/gpt-image-1.5": { - "deprecation_date": "2026-12-01", "input_cost_per_image": 0.009, "litellm_provider": "openai", "mode": "image_generation", @@ -25418,7 +23458,6 @@ "supports_pdf_input": true }, "standard/1024-x-1536/gpt-image-1.5": { - "deprecation_date": "2026-12-01", "input_cost_per_image": 0.013, "litellm_provider": "openai", "mode": "image_generation", @@ -25430,7 +23469,6 @@ "supports_pdf_input": true }, "standard/1536-x-1024/gpt-image-1.5": { - "deprecation_date": "2026-12-01", "input_cost_per_image": 0.013, "litellm_provider": "openai", "mode": "image_generation", @@ -25442,7 +23480,6 @@ "supports_pdf_input": true }, "1024-x-1024/gpt-image-1.5": { - "deprecation_date": "2026-12-01", "input_cost_per_image": 0.009, "litellm_provider": "openai", "mode": "image_generation", @@ -25454,7 +23491,6 @@ "supports_pdf_input": true }, "1024-x-1536/gpt-image-1.5": { - "deprecation_date": "2026-12-01", "input_cost_per_image": 0.013, "litellm_provider": "openai", "mode": "image_generation", @@ -25466,7 +23502,6 @@ "supports_pdf_input": true }, "1536-x-1024/gpt-image-1.5": { - "deprecation_date": "2026-12-01", "input_cost_per_image": 0.013, "litellm_provider": "openai", "mode": "image_generation", @@ -25657,11 +23692,6 @@ "output_cost_per_token": 1e-05, "output_cost_per_token_flex": 5e-06, "output_cost_per_token_priority": 2e-05, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/chat/completions", "/v1/batch", @@ -25701,11 +23731,6 @@ "mode": "chat", "output_cost_per_token": 1e-05, "output_cost_per_token_priority": 2e-05, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/chat/completions", "/v1/responses" @@ -25745,11 +23770,6 @@ "mode": "chat", "output_cost_per_token": 1e-05, "output_cost_per_token_priority": 2e-05, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/chat/completions", "/v1/responses" @@ -25790,11 +23810,6 @@ "mode": "chat", "output_cost_per_token": 1e-05, "output_cost_per_token_priority": 2e-05, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/chat/completions", "/v1/responses" @@ -25834,11 +23849,6 @@ "mode": "chat", "output_cost_per_token": 1.4e-05, "output_cost_per_token_priority": 2.8e-05, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/chat/completions", "/v1/batch", @@ -25879,11 +23889,6 @@ "mode": "chat", "output_cost_per_token": 1.4e-05, "output_cost_per_token_priority": 2.8e-05, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/chat/completions", "/v1/batch", @@ -25925,11 +23930,6 @@ "mode": "chat", "output_cost_per_token": 1.4e-05, "output_cost_per_token_priority": 2.8e-05, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/chat/completions", "/v1/responses" @@ -25969,11 +23969,6 @@ "mode": "chat", "output_cost_per_token": 1.4e-05, "output_cost_per_token_priority": 2.8e-05, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/chat/completions", "/v1/responses" @@ -26008,11 +24003,6 @@ "max_tokens": 128000, "mode": "responses", "output_cost_per_token": 0.000168, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/batch", "/v1/responses" @@ -26047,11 +24037,6 @@ "max_tokens": 128000, "mode": "responses", "output_cost_per_token": 0.000168, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/batch", "/v1/responses" @@ -26079,40 +24064,35 @@ "supports_minimal_reasoning_effort": true }, "gpt-5.6": { - "cache_creation_input_token_cost": 5e-06, - "cache_creation_input_token_cost_above_272k_tokens": 1e-05, - "cache_creation_input_token_cost_above_272k_tokens_flex": 5e-06, - "cache_creation_input_token_cost_flex": 2.5e-06, - "cache_creation_input_token_cost_priority": 1e-05, - "cache_read_input_token_cost": 4e-07, - "cache_read_input_token_cost_above_272k_tokens": 8e-07, - "cache_read_input_token_cost_above_272k_tokens_flex": 4e-07, - "cache_read_input_token_cost_flex": 2e-07, - "cache_read_input_token_cost_priority": 8e-07, - "input_cost_per_token": 4e-06, - "input_cost_per_token_above_272k_tokens": 8e-06, - "input_cost_per_token_above_272k_tokens_flex": 4e-06, - "input_cost_per_token_batches": 2e-06, - "input_cost_per_token_flex": 2e-06, - "input_cost_per_token_priority": 8e-06, + "cache_creation_input_token_cost": 6.25e-06, + "cache_creation_input_token_cost_above_272k_tokens": 1.25e-05, + "cache_creation_input_token_cost_above_272k_tokens_flex": 6.25e-06, + "cache_creation_input_token_cost_flex": 3.125e-06, + "cache_creation_input_token_cost_priority": 1.25e-05, + "cache_read_input_token_cost": 5e-07, + "cache_read_input_token_cost_above_272k_tokens": 1e-06, + "cache_read_input_token_cost_above_272k_tokens_flex": 5e-07, + "cache_read_input_token_cost_flex": 2.5e-07, + "cache_read_input_token_cost_priority": 1e-06, + "input_cost_per_token": 5e-06, + "input_cost_per_token_above_272k_tokens": 1e-05, + "input_cost_per_token_above_272k_tokens_flex": 5e-06, + "input_cost_per_token_batches": 2.5e-06, + "input_cost_per_token_flex": 2.5e-06, + "input_cost_per_token_priority": 1e-05, "litellm_provider": "openai", - "max_input_tokens": 922000, + "max_input_tokens": 1050000, "max_output_tokens": 128000, "max_tokens": 128000, "mode": "chat", - "output_cost_per_token": 2e-05, - "output_cost_per_token_above_272k_tokens": 3e-05, - "output_cost_per_token_above_272k_tokens_flex": 1.5e-05, - "output_cost_per_token_batches": 1e-05, - "output_cost_per_token_flex": 1e-05, - "output_cost_per_token_priority": 4e-05, + "output_cost_per_token": 3e-05, + "output_cost_per_token_above_272k_tokens": 4.5e-05, + "output_cost_per_token_above_272k_tokens_flex": 2.25e-05, + "output_cost_per_token_batches": 1.5e-05, + "output_cost_per_token_flex": 1.5e-05, + "output_cost_per_token_priority": 6e-05, "regional_processing_uplift_multiplier_eu": 1.1, "regional_processing_uplift_multiplier_us": 1.1, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/chat/completions", "/v1/batch", @@ -26131,7 +24111,6 @@ "supports_none_reasoning_effort": true, "supports_parallel_function_calling": true, "supports_pdf_input": true, - "supports_prompt_cache_breakpoint": true, "supports_prompt_caching": true, "supports_reasoning": true, "supports_response_schema": true, @@ -26142,40 +24121,35 @@ "supports_xhigh_reasoning_effort": true }, "gpt-5.6-sol": { - "cache_creation_input_token_cost": 5e-06, - "cache_creation_input_token_cost_above_272k_tokens": 1e-05, - "cache_creation_input_token_cost_above_272k_tokens_flex": 5e-06, - "cache_creation_input_token_cost_flex": 2.5e-06, - "cache_creation_input_token_cost_priority": 1e-05, - "cache_read_input_token_cost": 4e-07, - "cache_read_input_token_cost_above_272k_tokens": 8e-07, - "cache_read_input_token_cost_above_272k_tokens_flex": 4e-07, - "cache_read_input_token_cost_flex": 2e-07, - "cache_read_input_token_cost_priority": 8e-07, - "input_cost_per_token": 4e-06, - "input_cost_per_token_above_272k_tokens": 8e-06, - "input_cost_per_token_above_272k_tokens_flex": 4e-06, - "input_cost_per_token_batches": 2e-06, - "input_cost_per_token_flex": 2e-06, - "input_cost_per_token_priority": 8e-06, + "cache_creation_input_token_cost": 6.25e-06, + "cache_creation_input_token_cost_above_272k_tokens": 1.25e-05, + "cache_creation_input_token_cost_above_272k_tokens_flex": 6.25e-06, + "cache_creation_input_token_cost_flex": 3.125e-06, + "cache_creation_input_token_cost_priority": 1.25e-05, + "cache_read_input_token_cost": 5e-07, + "cache_read_input_token_cost_above_272k_tokens": 1e-06, + "cache_read_input_token_cost_above_272k_tokens_flex": 5e-07, + "cache_read_input_token_cost_flex": 2.5e-07, + "cache_read_input_token_cost_priority": 1e-06, + "input_cost_per_token": 5e-06, + "input_cost_per_token_above_272k_tokens": 1e-05, + "input_cost_per_token_above_272k_tokens_flex": 5e-06, + "input_cost_per_token_batches": 2.5e-06, + "input_cost_per_token_flex": 2.5e-06, + "input_cost_per_token_priority": 1e-05, "litellm_provider": "openai", - "max_input_tokens": 922000, + "max_input_tokens": 1050000, "max_output_tokens": 128000, "max_tokens": 128000, "mode": "chat", - "output_cost_per_token": 2e-05, - "output_cost_per_token_above_272k_tokens": 3e-05, - "output_cost_per_token_above_272k_tokens_flex": 1.5e-05, - "output_cost_per_token_batches": 1e-05, - "output_cost_per_token_flex": 1e-05, - "output_cost_per_token_priority": 4e-05, + "output_cost_per_token": 3e-05, + "output_cost_per_token_above_272k_tokens": 4.5e-05, + "output_cost_per_token_above_272k_tokens_flex": 2.25e-05, + "output_cost_per_token_batches": 1.5e-05, + "output_cost_per_token_flex": 1.5e-05, + "output_cost_per_token_priority": 6e-05, "regional_processing_uplift_multiplier_eu": 1.1, "regional_processing_uplift_multiplier_us": 1.1, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/chat/completions", "/v1/batch", @@ -26188,14 +24162,12 @@ "supported_output_modalities": [ "text" ], - "supports_computer_use": true, "supports_function_calling": true, "supports_minimal_reasoning_effort": false, "supports_native_streaming": true, "supports_none_reasoning_effort": true, "supports_parallel_function_calling": true, "supports_pdf_input": true, - "supports_prompt_cache_breakpoint": true, "supports_prompt_caching": true, "supports_reasoning": true, "supports_response_schema": true, @@ -26223,7 +24195,7 @@ "input_cost_per_token_flex": 1e-06, "input_cost_per_token_priority": 4e-06, "litellm_provider": "openai", - "max_input_tokens": 922000, + "max_input_tokens": 1050000, "max_output_tokens": 128000, "max_tokens": 128000, "mode": "chat", @@ -26235,11 +24207,6 @@ "output_cost_per_token_priority": 2.4e-05, "regional_processing_uplift_multiplier_eu": 1.1, "regional_processing_uplift_multiplier_us": 1.1, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/chat/completions", "/v1/batch", @@ -26258,7 +24225,6 @@ "supports_none_reasoning_effort": true, "supports_parallel_function_calling": true, "supports_pdf_input": true, - "supports_prompt_cache_breakpoint": true, "supports_prompt_caching": true, "supports_reasoning": true, "supports_response_schema": true, @@ -26286,7 +24252,7 @@ "input_cost_per_token_flex": 1e-07, "input_cost_per_token_priority": 4e-07, "litellm_provider": "openai", - "max_input_tokens": 922000, + "max_input_tokens": 1050000, "max_output_tokens": 128000, "max_tokens": 128000, "mode": "chat", @@ -26298,11 +24264,6 @@ "output_cost_per_token_priority": 2.4e-06, "regional_processing_uplift_multiplier_eu": 1.1, "regional_processing_uplift_multiplier_us": 1.1, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/chat/completions", "/v1/batch", @@ -26321,7 +24282,6 @@ "supports_none_reasoning_effort": true, "supports_parallel_function_calling": true, "supports_pdf_input": true, - "supports_prompt_cache_breakpoint": true, "supports_prompt_caching": true, "supports_reasoning": true, "supports_response_schema": true, @@ -26331,155 +24291,6 @@ "supports_web_search": true, "supports_xhigh_reasoning_effort": true }, - "gpt-5.6-cyber": { - "cache_creation_input_token_cost": 1.5625e-05, - "cache_creation_input_token_cost_above_272k_tokens": 3.125e-05, - "cache_read_input_token_cost": 1.25e-06, - "cache_read_input_token_cost_above_272k_tokens": 2.5e-06, - "input_cost_per_token": 1.25e-05, - "input_cost_per_token_above_272k_tokens": 2.5e-05, - "litellm_provider": "openai", - "max_input_tokens": 400000, - "max_output_tokens": 128000, - "max_tokens": 128000, - "mode": "chat", - "output_cost_per_token": 7.5e-05, - "output_cost_per_token_above_272k_tokens": 0.0001125, - "supported_endpoints": [ - "/v1/chat/completions", - "/v1/responses" - ], - "supported_modalities": [ - "text", - "image" - ], - "supported_output_modalities": [ - "text" - ], - "supports_function_calling": true, - "supports_native_streaming": true, - "supports_pdf_input": true, - "supports_prompt_caching": true, - "supports_reasoning": true, - "supports_response_schema": true, - "supports_system_messages": true, - "supports_tool_choice": true, - "supports_vision": true, - "supports_web_search": true, - "source": "https://platform.openai.com/docs/models/gpt-5.6-cyber", - "supports_computer_use": true, - "supports_parallel_function_calling": true - }, - "daybreak-red-latest": { - "cache_creation_input_token_cost": 1.5625e-05, - "cache_creation_input_token_cost_above_272k_tokens": 3.125e-05, - "cache_read_input_token_cost": 1.25e-06, - "cache_read_input_token_cost_above_272k_tokens": 2.5e-06, - "input_cost_per_token": 1.25e-05, - "input_cost_per_token_above_272k_tokens": 2.5e-05, - "litellm_provider": "openai", - "max_input_tokens": 400000, - "max_output_tokens": 128000, - "max_tokens": 128000, - "mode": "chat", - "output_cost_per_token": 7.5e-05, - "output_cost_per_token_above_272k_tokens": 0.0001125, - "supported_endpoints": [ - "/v1/chat/completions", - "/v1/responses" - ], - "supported_modalities": [ - "text", - "image" - ], - "supported_output_modalities": [ - "text" - ], - "supports_function_calling": true, - "supports_native_streaming": true, - "supports_pdf_input": true, - "supports_prompt_caching": true, - "supports_reasoning": true, - "supports_response_schema": true, - "supports_system_messages": true, - "supports_tool_choice": true, - "supports_vision": true, - "supports_web_search": true, - "source": "https://platform.openai.com/docs/models/daybreak-red-latest", - "supports_computer_use": true, - "supports_parallel_function_calling": true - }, - "daybreak-blue-latest": { - "cache_creation_input_token_cost": 5e-06, - "cache_creation_input_token_cost_above_272k_tokens": 1e-05, - "cache_read_input_token_cost": 4e-07, - "cache_read_input_token_cost_above_272k_tokens": 8e-07, - "input_cost_per_token": 4e-06, - "input_cost_per_token_above_272k_tokens": 8e-06, - "litellm_provider": "openai", - "max_input_tokens": 1050000, - "max_output_tokens": 128000, - "max_tokens": 128000, - "mode": "chat", - "output_cost_per_token": 2e-05, - "output_cost_per_token_above_272k_tokens": 3e-05, - "supported_endpoints": [ - "/v1/chat/completions", - "/v1/responses" - ], - "supported_modalities": [ - "text", - "image" - ], - "supported_output_modalities": [ - "text" - ], - "supports_computer_use": true, - "supports_function_calling": true, - "supports_native_streaming": true, - "supports_pdf_input": true, - "supports_prompt_caching": true, - "supports_reasoning": true, - "supports_response_schema": true, - "supports_system_messages": true, - "supports_tool_choice": true, - "supports_vision": true, - "supports_web_search": true, - "source": "https://platform.openai.com/docs/models/daybreak-blue-latest", - "supports_parallel_function_calling": true - }, - "chat-latest": { - "cache_read_input_token_cost": 5e-07, - "input_cost_per_token": 5e-06, - "litellm_provider": "openai", - "max_input_tokens": 400000, - "max_output_tokens": 128000, - "max_tokens": 128000, - "mode": "chat", - "output_cost_per_token": 3e-05, - "source": "https://platform.openai.com/docs/models/chat-latest", - "supported_endpoints": [ - "/v1/chat/completions", - "/v1/responses" - ], - "supported_modalities": [ - "text", - "image" - ], - "supported_output_modalities": [ - "text" - ], - "supports_function_calling": true, - "supports_native_streaming": true, - "supports_parallel_function_calling": true, - "supports_pdf_input": true, - "supports_prompt_caching": true, - "supports_response_schema": true, - "supports_system_messages": true, - "supports_tool_choice": true, - "supports_vision": true, - "supports_web_search": true - }, "gpt-5.5": { "cache_read_input_token_cost": 5e-07, "cache_read_input_token_cost_above_272k_tokens": 1e-06, @@ -26502,11 +24313,6 @@ "output_cost_per_token_priority": 6e-05, "regional_processing_uplift_multiplier_eu": 1.1, "regional_processing_uplift_multiplier_us": 1.1, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/chat/completions", "/v1/batch", @@ -26556,11 +24362,6 @@ "output_cost_per_token_priority": 6e-05, "regional_processing_uplift_multiplier_eu": 1.1, "regional_processing_uplift_multiplier_us": 1.1, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/chat/completions", "/v1/batch", @@ -26606,11 +24407,6 @@ "output_cost_per_token_batches": 9e-05, "regional_processing_uplift_multiplier_eu": 1.1, "regional_processing_uplift_multiplier_us": 1.1, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/responses", "/v1/batch" @@ -26656,11 +24452,6 @@ "output_cost_per_token_batches": 9e-05, "regional_processing_uplift_multiplier_eu": 1.1, "regional_processing_uplift_multiplier_us": 1.1, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/responses", "/v1/batch" @@ -26779,10 +24570,7 @@ "supports_response_schema": true, "supports_system_messages": true, "supports_tool_choice": true, - "supports_vision": true, - "supports_none_reasoning_effort": true, - "supports_xhigh_reasoning_effort": true, - "supports_minimal_reasoning_effort": true + "supports_vision": true }, "gpt-5.4-pro": { "cache_read_input_token_cost": 3e-06, @@ -26802,11 +24590,6 @@ "output_cost_per_token_batches": 9e-05, "regional_processing_uplift_multiplier_eu": 1.1, "regional_processing_uplift_multiplier_us": 1.1, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/responses", "/v1/batch" @@ -26851,11 +24634,6 @@ "output_cost_per_token_batches": 9e-05, "regional_processing_uplift_multiplier_eu": 1.1, "regional_processing_uplift_multiplier_us": 1.1, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/responses", "/v1/batch" @@ -26901,11 +24679,6 @@ "output_cost_per_token_priority": 9e-06, "regional_processing_uplift_multiplier_eu": 1.1, "regional_processing_uplift_multiplier_us": 1.1, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/chat/completions", "/v1/batch", @@ -26952,11 +24725,6 @@ "output_cost_per_token_priority": 9e-06, "regional_processing_uplift_multiplier_eu": 1.1, "regional_processing_uplift_multiplier_us": 1.1, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/chat/completions", "/v1/batch", @@ -27000,11 +24768,6 @@ "output_cost_per_token_batches": 6.25e-07, "regional_processing_uplift_multiplier_eu": 1.1, "regional_processing_uplift_multiplier_us": 1.1, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/chat/completions", "/v1/batch", @@ -27048,11 +24811,6 @@ "output_cost_per_token_batches": 6.25e-07, "regional_processing_uplift_multiplier_eu": 1.1, "regional_processing_uplift_multiplier_us": 1.1, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/chat/completions", "/v1/batch", @@ -27090,11 +24848,6 @@ "mode": "responses", "output_cost_per_token": 0.00012, "output_cost_per_token_batches": 6e-05, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/batch", "/v1/responses" @@ -27132,11 +24885,6 @@ "mode": "responses", "output_cost_per_token": 0.00012, "output_cost_per_token_batches": 6e-05, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/batch", "/v1/responses" @@ -27179,11 +24927,6 @@ "output_cost_per_token": 1e-05, "output_cost_per_token_flex": 5e-06, "output_cost_per_token_priority": 2e-05, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/chat/completions", "/v1/batch", @@ -27292,11 +25035,6 @@ "max_tokens": 128000, "mode": "responses", "output_cost_per_token": 1e-05, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/responses" ], @@ -27335,11 +25073,6 @@ "mode": "responses", "output_cost_per_token": 1e-05, "output_cost_per_token_priority": 2e-05, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/responses" ], @@ -27375,11 +25108,6 @@ "max_tokens": 128000, "mode": "responses", "output_cost_per_token": 1e-05, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/responses" ], @@ -27418,11 +25146,6 @@ "mode": "responses", "output_cost_per_token": 2e-06, "output_cost_per_token_priority": 3.6e-06, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/responses" ], @@ -27461,11 +25184,6 @@ "mode": "responses", "output_cost_per_token": 1.4e-05, "output_cost_per_token_priority": 2.8e-05, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/responses" ], @@ -27503,11 +25221,6 @@ "mode": "responses", "output_cost_per_token": 1.4e-05, "output_cost_per_token_priority": 2.8e-05, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/responses" ], @@ -27548,11 +25261,6 @@ "output_cost_per_token": 2e-06, "output_cost_per_token_flex": 1e-06, "output_cost_per_token_priority": 3.6e-06, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/chat/completions", "/v1/batch", @@ -27596,11 +25304,6 @@ "output_cost_per_token": 2e-06, "output_cost_per_token_flex": 1e-06, "output_cost_per_token_priority": 3.6e-06, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/chat/completions", "/v1/batch", @@ -27641,11 +25344,6 @@ "mode": "chat", "output_cost_per_token": 4e-07, "output_cost_per_token_flex": 2e-07, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/chat/completions", "/v1/batch", @@ -27687,11 +25385,6 @@ "mode": "chat", "output_cost_per_token": 4e-07, "output_cost_per_token_flex": 2e-07, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/chat/completions", "/v1/batch", @@ -28294,12 +25987,11 @@ "supports_vision": true }, "groq/llama-3.1-8b-instant": { - "deprecation_date": "2026-08-16", "input_cost_per_token": 5e-08, "litellm_provider": "groq", - "max_input_tokens": 131072, - "max_output_tokens": 131072, - "max_tokens": 131072, + "max_input_tokens": 128000, + "max_output_tokens": 8192, + "max_tokens": 8192, "mode": "chat", "output_cost_per_token": 8e-08, "supports_function_calling": true, @@ -28307,10 +25999,9 @@ "supports_tool_choice": true }, "groq/llama-3.3-70b-versatile": { - "deprecation_date": "2026-08-16", "input_cost_per_token": 5.9e-07, "litellm_provider": "groq", - "max_input_tokens": 131072, + "max_input_tokens": 128000, "max_output_tokens": 32768, "max_tokens": 32768, "mode": "chat", @@ -28331,28 +26022,7 @@ "supports_response_schema": false, "supports_tool_choice": true }, - "groq/meta-llama/llama-prompt-guard-2-22m": { - "input_cost_per_token": 3e-08, - "litellm_provider": "groq", - "max_input_tokens": 512, - "max_output_tokens": 512, - "max_tokens": 512, - "mode": "chat", - "output_cost_per_token": 3e-08, - "source": "https://console.groq.com/docs/models" - }, - "groq/meta-llama/llama-prompt-guard-2-86m": { - "input_cost_per_token": 4e-08, - "litellm_provider": "groq", - "max_input_tokens": 512, - "max_output_tokens": 512, - "max_tokens": 512, - "mode": "chat", - "output_cost_per_token": 4e-08, - "source": "https://console.groq.com/docs/model/meta-llama/llama-prompt-guard-2-86m" - }, "groq/meta-llama/llama-guard-4-12b": { - "deprecation_date": "2026-03-05", "input_cost_per_token": 2e-07, "litellm_provider": "groq", "max_input_tokens": 8192, @@ -28362,7 +26032,6 @@ "output_cost_per_token": 2e-07 }, "groq/meta-llama/llama-4-maverick-17b-128e-instruct": { - "deprecation_date": "2026-03-09", "input_cost_per_token": 2e-07, "litellm_provider": "groq", "max_input_tokens": 131072, @@ -28376,7 +26045,6 @@ "supports_vision": true }, "groq/meta-llama/llama-4-scout-17b-16e-instruct": { - "deprecation_date": "2026-07-17", "input_cost_per_token": 1.1e-07, "litellm_provider": "groq", "max_input_tokens": 131072, @@ -28390,7 +26058,6 @@ "supports_vision": true }, "groq/moonshotai/kimi-k2-instruct-0905": { - "deprecation_date": "2026-04-15", "input_cost_per_token": 1e-06, "output_cost_per_token": 3e-06, "cache_read_input_token_cost": 5e-07, @@ -28408,8 +26075,8 @@ "input_cost_per_token": 1.5e-07, "litellm_provider": "groq", "max_input_tokens": 131072, - "max_output_tokens": 65536, - "max_tokens": 65536, + "max_output_tokens": 32766, + "max_tokens": 32766, "mode": "chat", "output_cost_per_token": 6e-07, "search_context_cost_per_query": { @@ -28429,8 +26096,8 @@ "input_cost_per_token": 7.5e-08, "litellm_provider": "groq", "max_input_tokens": 131072, - "max_output_tokens": 65536, - "max_tokens": 65536, + "max_output_tokens": 32768, + "max_tokens": 32768, "mode": "chat", "output_cost_per_token": 3e-07, "search_context_cost_per_query": { @@ -28465,26 +26132,7 @@ "supports_tool_choice": true, "supports_web_search": true }, - "groq/canopylabs/orpheus-v1-english": { - "input_cost_per_character": 2.2e-05, - "litellm_provider": "groq", - "max_input_tokens": 4000, - "max_output_tokens": 50000, - "max_tokens": 50000, - "mode": "audio_speech", - "source": "https://console.groq.com/docs/model/canopylabs/orpheus-v1-english" - }, - "groq/canopylabs/orpheus-arabic-saudi": { - "input_cost_per_character": 4e-05, - "litellm_provider": "groq", - "max_input_tokens": 4000, - "max_output_tokens": 50000, - "max_tokens": 50000, - "mode": "audio_speech", - "source": "https://console.groq.com/docs/models" - }, "groq/playai-tts": { - "deprecation_date": "2025-12-31", "input_cost_per_character": 5e-05, "litellm_provider": "groq", "max_input_tokens": 10000, @@ -28492,23 +26140,7 @@ "max_tokens": 10000, "mode": "audio_speech" }, - "groq/qwen/qwen3.6-27b": { - "input_cost_per_token": 6e-07, - "litellm_provider": "groq", - "max_input_tokens": 131072, - "max_output_tokens": 16384, - "max_tokens": 16384, - "mode": "chat", - "output_cost_per_token": 3e-06, - "source": "https://console.groq.com/docs/model/qwen/qwen3.6-27b", - "supports_function_calling": true, - "supports_reasoning": true, - "supports_response_schema": false, - "supports_tool_choice": true, - "supports_vision": true - }, "groq/qwen/qwen3-32b": { - "deprecation_date": "2026-07-17", "input_cost_per_token": 2.9e-07, "litellm_provider": "groq", "max_input_tokens": 131000, @@ -28534,21 +26166,18 @@ "output_cost_per_second": 0.0 }, "hd/1024-x-1024/dall-e-3": { - "deprecation_date": "2026-05-12", "input_cost_per_pixel": 7.629e-08, "litellm_provider": "openai", "mode": "image_generation", "output_cost_per_pixel": 0.0 }, "hd/1024-x-1792/dall-e-3": { - "deprecation_date": "2026-05-12", "input_cost_per_pixel": 6.539e-08, "litellm_provider": "openai", "mode": "image_generation", "output_cost_per_pixel": 0.0 }, "hd/1792-x-1024/dall-e-3": { - "deprecation_date": "2026-05-12", "input_cost_per_pixel": 6.539e-08, "litellm_provider": "openai", "mode": "image_generation", @@ -28595,7 +26224,6 @@ "max_output_tokens": 8192 }, "high/1024-x-1024/gpt-image-1": { - "deprecation_date": "2026-10-23", "input_cost_per_image": 0.167, "input_cost_per_pixel": 1.59263611e-07, "litellm_provider": "openai", @@ -28606,7 +26234,6 @@ ] }, "high/1024-x-1536/gpt-image-1": { - "deprecation_date": "2026-10-23", "input_cost_per_image": 0.25, "input_cost_per_pixel": 1.58945719e-07, "litellm_provider": "openai", @@ -28617,7 +26244,6 @@ ] }, "high/1536-x-1024/gpt-image-1": { - "deprecation_date": "2026-10-23", "input_cost_per_image": 0.25, "input_cost_per_pixel": 1.58945719e-07, "litellm_provider": "openai", @@ -28994,9 +26620,7 @@ "supports_vision": true, "supports_native_structured_output": true, "supports_parallel_tool_use_config": true, - "prompt_cache_min_tokens": 1024, - "input_cost_per_token_batches": 1.65e-06, - "output_cost_per_token_batches": 8.25e-06 + "prompt_cache_min_tokens": 1024 }, "jp.anthropic.claude-haiku-4-5-20251001-v1:0": { "cache_creation_input_token_cost": 1.375e-06, @@ -29022,9 +26646,7 @@ "supports_vision": true, "supports_native_structured_output": true, "supports_parallel_tool_use_config": true, - "prompt_cache_min_tokens": 4096, - "input_cost_per_token_batches": 5.5e-07, - "output_cost_per_token_batches": 2.75e-06 + "prompt_cache_min_tokens": 4096 }, "crusoe/deepseek-ai/DeepSeek-R1-0528": { "input_cost_per_token": 3e-06, @@ -29409,7 +27031,6 @@ "supports_tool_choice": true }, "low/1024-x-1024/gpt-image-1": { - "deprecation_date": "2026-10-23", "input_cost_per_image": 0.011, "input_cost_per_pixel": 1.0490417e-08, "litellm_provider": "openai", @@ -29420,7 +27041,6 @@ ] }, "low/1024-x-1536/gpt-image-1": { - "deprecation_date": "2026-10-23", "input_cost_per_image": 0.016, "input_cost_per_pixel": 1.0172526e-08, "litellm_provider": "openai", @@ -29431,7 +27051,6 @@ ] }, "low/1536-x-1024/gpt-image-1": { - "deprecation_date": "2026-10-23", "input_cost_per_image": 0.016, "input_cost_per_pixel": 1.0172526e-08, "litellm_provider": "openai", @@ -29456,7 +27075,6 @@ "output_cost_per_image": 0.072 }, "medium/1024-x-1024/gpt-image-1": { - "deprecation_date": "2026-10-23", "input_cost_per_image": 0.042, "input_cost_per_pixel": 4.0054321e-08, "litellm_provider": "openai", @@ -29467,7 +27085,6 @@ ] }, "medium/1024-x-1536/gpt-image-1": { - "deprecation_date": "2026-10-23", "input_cost_per_image": 0.063, "input_cost_per_pixel": 4.0054321e-08, "litellm_provider": "openai", @@ -29478,7 +27095,6 @@ ] }, "medium/1536-x-1024/gpt-image-1": { - "deprecation_date": "2026-10-23", "input_cost_per_image": 0.063, "input_cost_per_pixel": 4.0054321e-08, "litellm_provider": "openai", @@ -29489,7 +27105,6 @@ ] }, "low/1024-x-1024/gpt-image-1-mini": { - "deprecation_date": "2026-12-01", "input_cost_per_image": 0.005, "litellm_provider": "openai", "mode": "image_generation", @@ -29498,7 +27113,6 @@ ] }, "low/1024-x-1536/gpt-image-1-mini": { - "deprecation_date": "2026-12-01", "input_cost_per_image": 0.006, "litellm_provider": "openai", "mode": "image_generation", @@ -29507,7 +27121,6 @@ ] }, "low/1536-x-1024/gpt-image-1-mini": { - "deprecation_date": "2026-12-01", "input_cost_per_image": 0.006, "litellm_provider": "openai", "mode": "image_generation", @@ -29516,7 +27129,6 @@ ] }, "medium/1024-x-1024/gpt-image-1-mini": { - "deprecation_date": "2026-12-01", "input_cost_per_image": 0.011, "litellm_provider": "openai", "mode": "image_generation", @@ -29525,7 +27137,6 @@ ] }, "medium/1024-x-1536/gpt-image-1-mini": { - "deprecation_date": "2026-12-01", "input_cost_per_image": 0.015, "litellm_provider": "openai", "mode": "image_generation", @@ -29534,7 +27145,6 @@ ] }, "medium/1536-x-1024/gpt-image-1-mini": { - "deprecation_date": "2026-12-01", "input_cost_per_image": 0.015, "litellm_provider": "openai", "mode": "image_generation", @@ -29741,93 +27351,6 @@ "max_tokens": 131072, "mode": "chat", "output_cost_per_token": 4.25e-06, - "search_context_cost_per_query": { - "search_context_size_high": 0.0025, - "search_context_size_low": 0.0025, - "search_context_size_medium": 0.0025 - }, - "source": "https://dev.meta.ai/docs/getting-started/pricing-rate-limits", - "supported_endpoints": [ - "/v1/chat/completions", - "/v1/responses", - "/v1/messages" - ], - "supported_modalities": [ - "text", - "image", - "video" - ], - "supported_output_modalities": [ - "text" - ], - "supports_function_calling": true, - "supports_minimal_reasoning_effort": true, - "supports_parallel_function_calling": true, - "supports_pdf_input": true, - "supports_prompt_caching": true, - "supports_reasoning": true, - "supports_response_schema": true, - "supports_system_messages": true, - "supports_tool_choice": true, - "supports_vision": true, - "supports_web_search": true, - "supports_xhigh_reasoning_effort": true - }, - "meta/muse-spark-1.2": { - "cache_read_input_token_cost": 1.5e-07, - "input_cost_per_token": 1.25e-06, - "litellm_provider": "meta", - "max_input_tokens": 1048576, - "max_output_tokens": 131072, - "max_tokens": 131072, - "mode": "chat", - "output_cost_per_token": 4.25e-06, - "search_context_cost_per_query": { - "search_context_size_high": 0.0025, - "search_context_size_low": 0.0025, - "search_context_size_medium": 0.0025 - }, - "source": "https://dev.meta.ai/docs/getting-started/pricing-rate-limits", - "supported_endpoints": [ - "/v1/chat/completions", - "/v1/responses", - "/v1/messages" - ], - "supported_modalities": [ - "text", - "image", - "video" - ], - "supported_output_modalities": [ - "text" - ], - "supports_function_calling": true, - "supports_minimal_reasoning_effort": true, - "supports_parallel_function_calling": true, - "supports_pdf_input": true, - "supports_prompt_caching": true, - "supports_reasoning": true, - "supports_response_schema": true, - "supports_system_messages": true, - "supports_tool_choice": true, - "supports_vision": true, - "supports_web_search": true, - "supports_xhigh_reasoning_effort": true - }, - "meta/muse-spark-1.2-contributor": { - "cache_read_input_token_cost": 2e-09, - "input_cost_per_token": 1e-07, - "litellm_provider": "meta", - "max_input_tokens": 1048576, - "max_output_tokens": 131072, - "max_tokens": 131072, - "mode": "chat", - "output_cost_per_token": 2e-07, - "search_context_cost_per_query": { - "search_context_size_high": 0.0025, - "search_context_size_low": 0.0025, - "search_context_size_medium": 0.0025 - }, "source": "https://dev.meta.ai/docs/getting-started/pricing-rate-limits", "supported_endpoints": [ "/v1/chat/completions", @@ -30247,30 +27770,28 @@ "mistral/codestral-2508": { "input_cost_per_token": 3e-07, "litellm_provider": "mistral", - "max_input_tokens": 128000, - "max_output_tokens": 128000, - "max_tokens": 128000, + "max_input_tokens": 256000, + "max_output_tokens": 256000, + "max_tokens": 256000, "mode": "chat", "output_cost_per_token": 9e-07, - "source": "https://docs.mistral.ai/models/model-cards/codestral-25-08", + "source": "https://mistral.ai/news/codestral-25-08", "supports_assistant_prefill": true, "supports_function_calling": true, "supports_response_schema": true, "supports_tool_choice": true }, "mistral/codestral-latest": { - "input_cost_per_token": 3e-07, + "input_cost_per_token": 1e-06, "litellm_provider": "mistral", - "max_input_tokens": 128000, - "max_output_tokens": 128000, - "max_tokens": 128000, + "max_input_tokens": 32000, + "max_output_tokens": 8191, + "max_tokens": 8191, "mode": "chat", - "output_cost_per_token": 9e-07, + "output_cost_per_token": 3e-06, "supports_assistant_prefill": true, "supports_response_schema": true, - "supports_tool_choice": true, - "source": "https://docs.mistral.ai/models/model-cards/codestral-25-08", - "supports_function_calling": true + "supports_tool_choice": true }, "mistral/codestral-mamba-latest": { "input_cost_per_token": 2.5e-07, @@ -30401,40 +27922,6 @@ "supports_response_schema": true, "supports_tool_choice": true }, - "mistral/zai-glm-5-2": { - "cache_read_input_token_cost": 1.4e-07, - "input_cost_per_token": 1.4e-06, - "litellm_provider": "mistral", - "max_input_tokens": 1048576, - "max_output_tokens": 131072, - "max_tokens": 131072, - "mode": "chat", - "output_cost_per_token": 4.4e-06, - "source": "https://docs.mistral.ai/models/zai-glm-5-2", - "supports_assistant_prefill": true, - "supports_function_calling": true, - "supports_prompt_caching": true, - "supports_reasoning": true, - "supports_response_schema": true, - "supports_tool_choice": true - }, - "mistral/glm-5-2": { - "cache_read_input_token_cost": 1.4e-07, - "input_cost_per_token": 1.4e-06, - "litellm_provider": "mistral", - "max_input_tokens": 1048576, - "max_output_tokens": 131072, - "max_tokens": 131072, - "mode": "chat", - "output_cost_per_token": 4.4e-06, - "source": "https://docs.mistral.ai/models/zai-glm-5-2", - "supports_assistant_prefill": true, - "supports_function_calling": true, - "supports_prompt_caching": true, - "supports_reasoning": true, - "supports_response_schema": true, - "supports_tool_choice": true - }, "mistral/magistral-medium-2506": { "deprecation_date": "2025-11-30", "input_cost_per_token": 2e-06, @@ -30503,16 +27990,6 @@ ], "source": "https://mistral.ai/pricing#api-pricing" }, - "mistral/mistral-ocr-4-1": { - "annotation_cost_per_page": 0.005, - "litellm_provider": "mistral", - "mode": "ocr", - "ocr_cost_per_page": 0.004, - "source": "https://docs.mistral.ai/models/model-cards/ocr-4-1", - "supported_endpoints": [ - "/v1/ocr" - ] - }, "mistral/mistral-ocr-2505-completion": { "deprecation_date": "2026-05-31", "litellm_provider": "mistral", @@ -30837,19 +28314,18 @@ "supports_tool_choice": true }, "mistral/mistral-small-latest": { - "input_cost_per_token": 1.5e-07, + "input_cost_per_token": 6e-08, "litellm_provider": "mistral", - "max_input_tokens": 262144, - "max_output_tokens": 262144, - "max_tokens": 262144, + "max_input_tokens": 131072, + "max_output_tokens": 131072, + "max_tokens": 131072, "mode": "chat", - "output_cost_per_token": 6e-07, - "source": "https://docs.mistral.ai/models/model-cards/mistral-small-4-0-26-03", + "output_cost_per_token": 1.8e-07, + "source": "https://mistral.ai/pricing", "supports_assistant_prefill": true, "supports_function_calling": true, "supports_response_schema": true, "supports_tool_choice": true, - "supports_reasoning": true, "supports_vision": true }, "mistral/mistral-small-3-2-2506": { @@ -31185,23 +28661,6 @@ "supports_video_input": true, "supports_vision": true }, - "moonshot/kimi-k3": { - "cache_read_input_token_cost": 3e-07, - "input_cost_per_token": 3e-06, - "litellm_provider": "moonshot", - "max_input_tokens": 1048576, - "max_output_tokens": 1048576, - "max_tokens": 1048576, - "mode": "chat", - "output_cost_per_token": 1.5e-05, - "source": "https://platform.kimi.ai/docs/pricing/chat-k3", - "supports_function_calling": true, - "supports_reasoning": true, - "supports_response_schema": true, - "supports_tool_choice": true, - "supports_video_input": true, - "supports_vision": true - }, "moonshot/kimi-latest": { "cache_read_input_token_cost": 1.5e-07, "deprecation_date": "2026-01-28", @@ -31492,7 +28951,6 @@ ] }, "multimodalembedding@001": { - "deprecation_date": "2027-04-01", "input_cost_per_character": 2e-07, "input_cost_per_image": 0.0001, "input_cost_per_token": 8e-07, @@ -32159,11 +29617,6 @@ "output_cost_per_token": 8e-06, "output_cost_per_token_flex": 4e-06, "output_cost_per_token_priority": 1.4e-05, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/responses", "/v1/chat/completions", @@ -32203,11 +29656,6 @@ "output_cost_per_token": 8e-06, "output_cost_per_token_flex": 4e-06, "output_cost_per_token_priority": 1.4e-05, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/responses", "/v1/chat/completions", @@ -32243,11 +29691,6 @@ "mode": "responses", "output_cost_per_token": 4e-05, "output_cost_per_token_batches": 2e-05, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/chat/completions", "/v1/batch", @@ -32283,11 +29726,6 @@ "mode": "responses", "output_cost_per_token": 4e-05, "output_cost_per_token_batches": 2e-05, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/chat/completions", "/v1/batch", @@ -32357,11 +29795,6 @@ "mode": "responses", "output_cost_per_token": 8e-05, "output_cost_per_token_batches": 4e-05, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/responses", "/v1/batch" @@ -32394,11 +29827,6 @@ "mode": "responses", "output_cost_per_token": 8e-05, "output_cost_per_token_batches": 4e-05, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/responses", "/v1/batch" @@ -32436,11 +29864,6 @@ "output_cost_per_token": 4.4e-06, "output_cost_per_token_flex": 2.2e-06, "output_cost_per_token_priority": 8e-06, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supports_function_calling": true, "supports_parallel_function_calling": false, "supports_pdf_input": true, @@ -32467,11 +29890,6 @@ "output_cost_per_token": 4.4e-06, "output_cost_per_token_flex": 2.2e-06, "output_cost_per_token_priority": 8e-06, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supports_function_calling": true, "supports_parallel_function_calling": false, "supports_pdf_input": true, @@ -32494,11 +29912,6 @@ "mode": "responses", "output_cost_per_token": 8e-06, "output_cost_per_token_batches": 4e-06, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/chat/completions", "/v1/batch", @@ -32534,11 +29947,6 @@ "mode": "responses", "output_cost_per_token": 8e-06, "output_cost_per_token_batches": 4e-06, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supported_endpoints": [ "/v1/chat/completions", "/v1/batch", @@ -33689,31 +31097,6 @@ "supports_vision": true, "supports_xhigh_reasoning_effort": true }, - "openrouter/anthropic/claude-opus-5": { - "prompt_cache_min_tokens": 512, - "supports_adaptive_thinking": true, - "cache_creation_input_token_cost": 6.25e-06, - "cache_read_input_token_cost": 5e-07, - "input_cost_per_token": 5e-06, - "litellm_provider": "openrouter", - "max_input_tokens": 1000000, - "max_output_tokens": 128000, - "max_tokens": 128000, - "mode": "chat", - "output_cost_per_token": 2.5e-05, - "source": "https://openrouter.ai/anthropic/claude-opus-5", - "supports_assistant_prefill": false, - "supports_computer_use": true, - "supports_function_calling": true, - "supports_pdf_input": true, - "supports_prompt_caching": true, - "supports_reasoning": true, - "supports_response_schema": true, - "supports_max_reasoning_effort": true, - "supports_tool_choice": true, - "supports_vision": true, - "supports_xhigh_reasoning_effort": true - }, "openrouter/bytedance/ui-tars-1.5-7b": { "input_cost_per_token": 1e-07, "litellm_provider": "openrouter", @@ -33822,38 +31205,6 @@ "supports_reasoning": true, "supports_tool_choice": true }, - "openrouter/deepseek/deepseek-v4-pro": { - "input_cost_per_token": 1.32e-06, - "input_cost_per_token_cache_hit": 4.4e-08, - "litellm_provider": "openrouter", - "max_input_tokens": 1048576, - "max_output_tokens": 384000, - "max_tokens": 384000, - "mode": "chat", - "output_cost_per_token": 3.96e-06, - "source": "https://openrouter.ai/deepseek/deepseek-v4-pro", - "supports_function_calling": true, - "supports_prompt_caching": true, - "supports_reasoning": true, - "supports_response_schema": true, - "supports_tool_choice": true - }, - "openrouter/deepseek/deepseek-v4-pro-0813": { - "input_cost_per_token": 1.32e-06, - "input_cost_per_token_cache_hit": 4.4e-08, - "litellm_provider": "openrouter", - "max_input_tokens": 1048576, - "max_output_tokens": 384000, - "max_tokens": 384000, - "mode": "chat", - "output_cost_per_token": 3.96e-06, - "source": "https://openrouter.ai/deepseek/deepseek-v4-pro-0813", - "supports_function_calling": true, - "supports_prompt_caching": true, - "supports_reasoning": true, - "supports_response_schema": true, - "supports_tool_choice": true - }, "openrouter/google/gemini-2.0-flash-001": { "deprecation_date": "2026-06-01", "input_cost_per_audio_token": 7e-07, @@ -34281,17 +31632,6 @@ "supports_video_input": true, "supports_vision": true }, - "openrouter/nvidia/nemotron-3.5-lightning": { - "input_cost_per_token": 5e-08, - "litellm_provider": "openrouter", - "max_input_tokens": 262144, - "mode": "chat", - "output_cost_per_token": 2e-07, - "source": "https://openrouter.ai/nvidia/nemotron-3.5-lightning", - "supports_function_calling": true, - "supports_reasoning": true, - "supports_tool_choice": true - }, "openrouter/openai/gpt-3.5-turbo": { "input_cost_per_token": 1.5e-06, "litellm_provider": "openrouter", @@ -35762,50 +33102,6 @@ "supports_reasoning": false, "supports_function_calling": true }, - "perplexity/perplexity/deepseek-v4-flash-0731": { - "cache_read_input_token_cost": 2.8e-08, - "input_cost_per_token": 1.3e-07, - "litellm_provider": "perplexity", - "mode": "responses", - "output_cost_per_token": 2.6e-07, - "source": "https://docs.perplexity.ai/docs/agent-api/models", - "supports_web_search": true, - "supports_reasoning": true, - "supports_function_calling": true - }, - "perplexity/perplexity/glm-5.2": { - "cache_read_input_token_cost": 1.4e-07, - "input_cost_per_token": 1.4e-06, - "litellm_provider": "perplexity", - "mode": "responses", - "output_cost_per_token": 4.4e-06, - "source": "https://docs.perplexity.ai/docs/agent-api/models", - "supports_web_search": true, - "supports_reasoning": true, - "supports_function_calling": true - }, - "perplexity/perplexity/kimi-k3": { - "cache_read_input_token_cost": 3e-07, - "input_cost_per_token": 3e-06, - "litellm_provider": "perplexity", - "mode": "responses", - "output_cost_per_token": 1.5e-05, - "source": "https://docs.perplexity.ai/docs/agent-api/models", - "supports_web_search": true, - "supports_reasoning": true, - "supports_function_calling": true - }, - "perplexity/perplexity/kimi-k2.7-code": { - "cache_read_input_token_cost": 1.9e-07, - "input_cost_per_token": 9.5e-07, - "litellm_provider": "perplexity", - "mode": "responses", - "output_cost_per_token": 4e-06, - "source": "https://docs.perplexity.ai/docs/agent-api/models", - "supports_web_search": true, - "supports_reasoning": false, - "supports_function_calling": true - }, "perplexity/pplx-embed-v1-0.6b": { "input_cost_per_token": 4e-09, "litellm_provider": "perplexity", @@ -35888,9 +33184,7 @@ "supports_function_calling": true, "supports_reasoning": true, "supports_tool_choice": true, - "supports_native_structured_output": true, - "input_cost_per_token_batches": 1.1e-07, - "output_cost_per_token_batches": 4.4e-07 + "supports_native_structured_output": true }, "qwen.qwen3-coder-30b-a3b-v1:0": { "input_cost_per_token": 1.5e-07, @@ -36425,8 +33719,7 @@ "max_output_tokens": 4096, "max_tokens": 4096, "mode": "rerank", - "output_cost_per_token": 0.0, - "deprecation_date": "2025-04-30" + "output_cost_per_token": 0.0 }, "rerank-english-v3.0": { "input_cost_per_query": 0.002, @@ -36446,8 +33739,7 @@ "max_output_tokens": 4096, "max_tokens": 4096, "mode": "rerank", - "output_cost_per_token": 0.0, - "deprecation_date": "2025-04-30" + "output_cost_per_token": 0.0 }, "rerank-multilingual-v3.0": { "input_cost_per_query": 0.002, @@ -36786,40 +34078,6 @@ "supports_vision": true, "source": "https://cloud.sambanova.ai/plans/pricing" }, - "scx-ai/GLM-5.2": { - "cache_read_input_token_cost": 2.2e-07, - "input_cost_per_token": 6.1e-07, - "litellm_provider": "scx-ai", - "max_input_tokens": 1048576, - "max_output_tokens": 131072, - "max_tokens": 131072, - "mode": "chat", - "output_cost_per_token": 1.98e-06, - "source": "https://scx.ai/pricing", - "supports_function_calling": true, - "supports_prompt_caching": true, - "supports_reasoning": true, - "supports_response_schema": true, - "supports_tool_choice": true, - "supports_vision": false - }, - "scx-ai/Qwen3.8-Max": { - "cache_read_input_token_cost": 2.1e-07, - "input_cost_per_token": 1.65e-06, - "litellm_provider": "scx-ai", - "max_input_tokens": 1000000, - "max_output_tokens": 131072, - "max_tokens": 131072, - "mode": "chat", - "output_cost_per_token": 4.99e-06, - "source": "https://scx.ai/pricing", - "supports_function_calling": true, - "supports_prompt_caching": true, - "supports_reasoning": true, - "supports_response_schema": true, - "supports_tool_choice": true, - "supports_vision": true - }, "snowflake/claude-3-5-sonnet": { "litellm_provider": "snowflake", "max_input_tokens": 200000, @@ -37330,21 +34588,18 @@ "output_cost_per_image": 0.14 }, "standard/1024-x-1024/dall-e-3": { - "deprecation_date": "2026-05-12", "input_cost_per_pixel": 3.81469e-08, "litellm_provider": "openai", "mode": "image_generation", "output_cost_per_pixel": 0.0 }, "standard/1024-x-1792/dall-e-3": { - "deprecation_date": "2026-05-12", "input_cost_per_pixel": 4.359e-08, "litellm_provider": "openai", "mode": "image_generation", "output_cost_per_pixel": 0.0 }, "standard/1792-x-1024/dall-e-3": { - "deprecation_date": "2026-05-12", "input_cost_per_pixel": 4.359e-08, "litellm_provider": "openai", "mode": "image_generation", @@ -37408,7 +34663,6 @@ "source": "https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models" }, "text-embedding-005": { - "deprecation_date": "2027-04-01", "input_cost_per_character": 2.5e-08, "input_cost_per_token": 1e-07, "litellm_provider": "vertex_ai-embedding-models", @@ -37482,7 +34736,6 @@ "source": "https://cloud.google.com/vertex-ai/generative-ai/pricing" }, "text-moderation-007": { - "deprecation_date": "2025-10-27", "input_cost_per_token": 0.0, "litellm_provider": "openai", "max_input_tokens": 32768, @@ -37492,7 +34745,6 @@ "output_cost_per_token": 0.0 }, "text-moderation-latest": { - "deprecation_date": "2025-10-27", "input_cost_per_token": 0.0, "litellm_provider": "openai", "max_input_tokens": 32768, @@ -37502,7 +34754,6 @@ "output_cost_per_token": 0.0 }, "text-moderation-stable": { - "deprecation_date": "2025-10-27", "input_cost_per_token": 0.0, "litellm_provider": "openai", "max_input_tokens": 32768, @@ -37512,7 +34763,6 @@ "output_cost_per_token": 0.0 }, "text-multilingual-embedding-002": { - "deprecation_date": "2027-04-01", "input_cost_per_character": 2.5e-08, "input_cost_per_token": 1e-07, "litellm_provider": "vertex_ai-embedding-models", @@ -38121,9 +35371,7 @@ "supports_vision": true, "supports_native_structured_output": true, "supports_parallel_tool_use_config": true, - "prompt_cache_min_tokens": 4096, - "input_cost_per_token_batches": 5.5e-07, - "output_cost_per_token_batches": 2.75e-06 + "prompt_cache_min_tokens": 4096 }, "us.anthropic.claude-3-5-sonnet-20240620-v1:0": { "input_cost_per_token": 3e-06, @@ -38289,9 +35537,7 @@ "supports_vision": true, "supports_native_structured_output": true, "supports_parallel_tool_use_config": true, - "prompt_cache_min_tokens": 1024, - "input_cost_per_token_batches": 1.65e-06, - "output_cost_per_token_batches": 8.25e-06 + "prompt_cache_min_tokens": 1024 }, "us-gov.anthropic.claude-sonnet-4-5-20250929-v1:0": { "cache_creation_input_token_cost": 4.5e-06, @@ -38346,9 +35592,7 @@ "supports_vision": true, "supports_native_structured_output": true, "supports_parallel_tool_use_config": true, - "prompt_cache_min_tokens": 4096, - "input_cost_per_token_batches": 5.5e-07, - "output_cost_per_token_batches": 2.75e-06 + "prompt_cache_min_tokens": 4096 }, "us.anthropic.claude-opus-4-20250514-v1:0": { "cache_creation_input_token_cost": 1.875e-05, @@ -38525,7 +35769,6 @@ "output_cost_per_token": 1.85e-06, "supports_function_calling": true, "supports_reasoning": true, - "supports_native_structured_output": true, "supports_tool_choice": true }, "eu.deepseek.v3.2": { @@ -38538,7 +35781,6 @@ "output_cost_per_token": 2.22e-06, "supports_function_calling": true, "supports_reasoning": true, - "supports_native_structured_output": true, "supports_tool_choice": true }, "us.meta.llama3-1-405b-instruct-v1:0": { @@ -40006,7 +37248,6 @@ "supports_tool_choice": true }, "vertex_ai/claude-haiku-4-5": { - "deprecation_date": "2026-10-15", "cache_creation_input_token_cost": 1.25e-06, "cache_creation_input_token_cost_above_1hr": 2e-06, "cache_read_input_token_cost": 1e-07, @@ -40017,7 +37258,6 @@ "max_tokens": 8192, "mode": "chat", "output_cost_per_token": 5e-06, - "regional_endpoint_uplift_multiplier": 1.1, "source": "https://cloud.google.com/vertex-ai/generative-ai/docs/partner-models/claude/haiku-4-5", "supports_assistant_prefill": true, "supports_function_calling": true, @@ -40031,7 +37271,6 @@ "prompt_cache_min_tokens": 4096 }, "vertex_ai/claude-haiku-4-5@20251001": { - "deprecation_date": "2026-10-15", "cache_creation_input_token_cost": 1.25e-06, "cache_creation_input_token_cost_above_1hr": 2e-06, "cache_read_input_token_cost": 1e-07, @@ -40042,7 +37281,6 @@ "max_tokens": 8192, "mode": "chat", "output_cost_per_token": 5e-06, - "regional_endpoint_uplift_multiplier": 1.1, "source": "https://cloud.google.com/vertex-ai/generative-ai/docs/partner-models/claude/haiku-4-5", "supports_assistant_prefill": true, "supports_function_calling": true, @@ -40185,7 +37423,6 @@ "supports_vision": true }, "vertex_ai/claude-opus-4": { - "deprecation_date": "2026-05-14", "cache_creation_input_token_cost": 1.875e-05, "cache_creation_input_token_cost_above_1hr": 3e-05, "cache_read_input_token_cost": 1.5e-06, @@ -40213,7 +37450,6 @@ "prompt_cache_min_tokens": 1024 }, "vertex_ai/claude-opus-4-1": { - "deprecation_date": "2026-08-05", "cache_creation_input_token_cost": 1.875e-05, "cache_creation_input_token_cost_above_1hr": 3e-05, "cache_read_input_token_cost": 1.5e-06, @@ -40232,7 +37468,6 @@ "supports_vision": true }, "vertex_ai/claude-opus-4-1@20250805": { - "deprecation_date": "2026-08-05", "cache_creation_input_token_cost": 1.875e-05, "cache_creation_input_token_cost_above_1hr": 3e-05, "cache_read_input_token_cost": 1.5e-06, @@ -40251,7 +37486,6 @@ "supports_vision": true }, "vertex_ai/claude-opus-4-5": { - "deprecation_date": "2026-11-24", "cache_creation_input_token_cost": 6.25e-06, "cache_creation_input_token_cost_above_1hr": 1e-05, "cache_read_input_token_cost": 5e-07, @@ -40262,7 +37496,6 @@ "max_tokens": 64000, "mode": "chat", "output_cost_per_token": 2.5e-05, - "regional_endpoint_uplift_multiplier": 1.1, "search_context_cost_per_query": { "search_context_size_high": 0.01, "search_context_size_low": 0.01, @@ -40281,7 +37514,6 @@ "prompt_cache_min_tokens": 4096 }, "vertex_ai/claude-opus-4-5@20251101": { - "deprecation_date": "2026-11-24", "cache_creation_input_token_cost": 6.25e-06, "cache_creation_input_token_cost_above_1hr": 1e-05, "cache_read_input_token_cost": 5e-07, @@ -40292,7 +37524,6 @@ "max_tokens": 64000, "mode": "chat", "output_cost_per_token": 2.5e-05, - "regional_endpoint_uplift_multiplier": 1.1, "search_context_cost_per_query": { "search_context_size_high": 0.01, "search_context_size_low": 0.01, @@ -40312,8 +37543,6 @@ "prompt_cache_min_tokens": 4096 }, "vertex_ai/claude-opus-4-6": { - "deprecation_date": "2027-02-05", - "regional_endpoint_uplift_multiplier": 1.1, "supports_adaptive_thinking": true, "cache_creation_input_token_cost": 6.25e-06, "cache_creation_input_token_cost_above_1hr": 1e-05, @@ -40344,8 +37573,6 @@ "prompt_cache_min_tokens": 4096 }, "vertex_ai/claude-opus-4-6@default": { - "deprecation_date": "2027-02-05", - "regional_endpoint_uplift_multiplier": 1.1, "supports_adaptive_thinking": true, "cache_creation_input_token_cost": 6.25e-06, "cache_creation_input_token_cost_above_1hr": 1e-05, @@ -40376,8 +37603,6 @@ "prompt_cache_min_tokens": 4096 }, "vertex_ai/claude-opus-4-7": { - "deprecation_date": "2027-04-16", - "regional_endpoint_uplift_multiplier": 1.1, "supports_adaptive_thinking": true, "cache_creation_input_token_cost": 6.25e-06, "cache_creation_input_token_cost_above_1hr": 1e-05, @@ -40409,8 +37634,6 @@ "prompt_cache_min_tokens": 2048 }, "vertex_ai/claude-opus-4-7@default": { - "deprecation_date": "2027-04-16", - "regional_endpoint_uplift_multiplier": 1.1, "supports_adaptive_thinking": true, "cache_creation_input_token_cost": 6.25e-06, "cache_creation_input_token_cost_above_1hr": 1e-05, @@ -40442,8 +37665,6 @@ "prompt_cache_min_tokens": 2048 }, "vertex_ai/claude-fable-5": { - "deprecation_date": "2027-06-08", - "regional_endpoint_uplift_multiplier": 1.1, "supports_mid_conversation_system": true, "cache_creation_input_token_cost": 1.25e-05, "cache_creation_input_token_cost_above_1hr": 2e-05, @@ -40461,7 +37682,6 @@ "search_context_size_medium": 0.01 }, "supports_adaptive_thinking": true, - "thinking_always_on": true, "supports_assistant_prefill": false, "supports_computer_use": true, "supports_function_calling": true, @@ -40476,8 +37696,6 @@ "supports_max_reasoning_effort": true }, "vertex_ai/claude-fable-5@default": { - "deprecation_date": "2027-06-08", - "regional_endpoint_uplift_multiplier": 1.1, "supports_mid_conversation_system": true, "cache_creation_input_token_cost": 1.25e-05, "cache_creation_input_token_cost_above_1hr": 2e-05, @@ -40495,7 +37713,6 @@ "search_context_size_medium": 0.01 }, "supports_adaptive_thinking": true, - "thinking_always_on": true, "supports_assistant_prefill": false, "supports_computer_use": true, "supports_function_calling": true, @@ -40510,8 +37727,6 @@ "supports_max_reasoning_effort": true }, "vertex_ai/claude-opus-5": { - "deprecation_date": "2027-01-24", - "regional_endpoint_uplift_multiplier": 1.1, "supports_mid_conversation_system": true, "supports_adaptive_thinking": true, "cache_creation_input_token_cost": 6.25e-06, @@ -40544,8 +37759,6 @@ "prompt_cache_min_tokens": 512 }, "vertex_ai/claude-opus-5@default": { - "deprecation_date": "2027-01-24", - "regional_endpoint_uplift_multiplier": 1.1, "supports_mid_conversation_system": true, "supports_adaptive_thinking": true, "cache_creation_input_token_cost": 6.25e-06, @@ -40578,8 +37791,6 @@ "prompt_cache_min_tokens": 512 }, "vertex_ai/claude-opus-4-8": { - "deprecation_date": "2027-05-28", - "regional_endpoint_uplift_multiplier": 1.1, "supports_mid_conversation_system": true, "supports_adaptive_thinking": true, "cache_creation_input_token_cost": 6.25e-06, @@ -40612,8 +37823,6 @@ "prompt_cache_min_tokens": 1024 }, "vertex_ai/claude-opus-4-8@default": { - "deprecation_date": "2027-05-28", - "regional_endpoint_uplift_multiplier": 1.1, "supports_mid_conversation_system": true, "supports_adaptive_thinking": true, "cache_creation_input_token_cost": 6.25e-06, @@ -40646,7 +37855,6 @@ "prompt_cache_min_tokens": 1024 }, "vertex_ai/claude-sonnet-4-5": { - "deprecation_date": "2026-09-29", "cache_creation_input_token_cost": 3.75e-06, "cache_creation_input_token_cost_above_1hr": 6e-06, "cache_read_input_token_cost": 3e-07, @@ -40663,7 +37871,6 @@ "mode": "chat", "output_cost_per_token": 1.5e-05, "output_cost_per_token_batches": 7.5e-06, - "regional_endpoint_uplift_multiplier": 1.1, "supports_assistant_prefill": true, "supports_computer_use": true, "supports_function_calling": true, @@ -40676,8 +37883,6 @@ "prompt_cache_min_tokens": 1024 }, "vertex_ai/claude-sonnet-5": { - "deprecation_date": "2026-12-24", - "regional_endpoint_uplift_multiplier": 1.1, "supports_mid_conversation_system": true, "cache_creation_input_token_cost": 2.5e-06, "cache_creation_input_token_cost_above_1hr": 4e-06, @@ -40710,7 +37915,6 @@ "prompt_cache_min_tokens": 1024 }, "vertex_ai/claude-sonnet-4-6": { - "regional_endpoint_uplift_multiplier": 1.1, "supports_adaptive_thinking": true, "cache_creation_input_token_cost": 3.75e-06, "cache_creation_input_token_cost_above_1hr": 6e-06, @@ -40741,7 +37945,6 @@ "prompt_cache_min_tokens": 1024 }, "vertex_ai/claude-sonnet-4-5@20250929": { - "deprecation_date": "2026-09-29", "cache_creation_input_token_cost": 3.75e-06, "cache_creation_input_token_cost_above_1hr": 6e-06, "cache_read_input_token_cost": 3e-07, @@ -40758,7 +37961,6 @@ "mode": "chat", "output_cost_per_token": 1.5e-05, "output_cost_per_token_batches": 7.5e-06, - "regional_endpoint_uplift_multiplier": 1.1, "supports_assistant_prefill": true, "supports_computer_use": true, "supports_function_calling": true, @@ -40772,7 +37974,6 @@ "prompt_cache_min_tokens": 1024 }, "vertex_ai/claude-opus-4@20250514": { - "deprecation_date": "2026-05-14", "cache_creation_input_token_cost": 1.875e-05, "cache_creation_input_token_cost_above_1hr": 3e-05, "cache_read_input_token_cost": 1.5e-06, @@ -40800,7 +38001,6 @@ "prompt_cache_min_tokens": 1024 }, "vertex_ai/claude-sonnet-4": { - "deprecation_date": "2026-05-14", "cache_creation_input_token_cost": 3.75e-06, "cache_creation_input_token_cost_above_1hr": 6e-06, "cache_read_input_token_cost": 3e-07, @@ -40832,7 +38032,6 @@ "prompt_cache_min_tokens": 1024 }, "vertex_ai/claude-sonnet-4@20250514": { - "deprecation_date": "2026-05-14", "cache_creation_input_token_cost": 3.75e-06, "cache_creation_input_token_cost_above_1hr": 6e-06, "cache_read_input_token_cost": 3e-07, @@ -40941,13 +38140,13 @@ "supports_tool_choice": true }, "vertex_ai/deepseek-ai/deepseek-v3.1-maas": { - "input_cost_per_token": 6e-07, + "input_cost_per_token": 1.35e-06, "litellm_provider": "vertex_ai-deepseek_models", "max_input_tokens": 163840, "max_output_tokens": 32768, "max_tokens": 32768, "mode": "chat", - "output_cost_per_token": 1.7e-06, + "output_cost_per_token": 5.4e-06, "source": "https://cloud.google.com/vertex-ai/generative-ai/pricing#partner-models", "supported_regions": [ "us-central1" @@ -40997,7 +38196,6 @@ "supports_tool_choice": true }, "vertex_ai/gemini-2.5-flash-image": { - "deprecation_date": "2026-10-02", "cache_read_input_token_cost": 3e-08, "input_cost_per_audio_token": 1e-06, "input_cost_per_token": 3e-07, @@ -41043,7 +38241,6 @@ "supports_image_size": false }, "vertex_ai/gemini-3-pro-image": { - "deprecation_date": "2027-05-28", "input_cost_per_image": 0.0011, "input_cost_per_token": 2e-06, "input_cost_per_token_batches": 1e-06, @@ -41076,7 +38273,6 @@ "source": "https://docs.cloud.google.com/vertex-ai/generative-ai/docs/models/gemini/3-pro-image" }, "vertex_ai/gemini-3.1-flash-image": { - "deprecation_date": "2027-05-28", "input_cost_per_image": 0.00056, "input_cost_per_token": 5e-07, "litellm_provider": "vertex_ai-language-models", @@ -41104,44 +38300,6 @@ "supports_reasoning": false, "source": "https://cloud.google.com/vertex-ai/generative-ai/pricing#gemini-models" }, - "vertex_ai/gemini-3.1-flash-lite-image": { - "cache_read_input_token_cost": 2.5e-08, - "input_cost_per_image": 0.00028, - "input_cost_per_token": 2.5e-07, - "input_cost_per_token_batches": 1.25e-07, - "litellm_provider": "vertex_ai-language-models", - "max_input_tokens": 65536, - "max_output_tokens": 4096, - "max_tokens": 4096, - "mode": "image_generation", - "output_cost_per_image": 0.0336, - "output_cost_per_image_token": 3e-05, - "output_cost_per_token": 1.5e-06, - "output_cost_per_token_batches": 7.5e-07, - "source": "https://cloud.google.com/gemini-enterprise-agent-platform/generative-ai/pricing", - "supported_endpoints": [ - "/v1/chat/completions", - "/v1/completions", - "/v1/batch" - ], - "supported_modalities": [ - "text", - "image", - "video" - ], - "supported_output_modalities": [ - "text", - "image" - ], - "supports_function_calling": false, - "supports_pdf_input": true, - "supports_prompt_caching": true, - "supports_reasoning": false, - "supports_response_schema": false, - "supports_system_messages": true, - "supports_video_input": true, - "supports_vision": true - }, "vertex_ai/gemini-3.1-flash-lite-preview": { "cache_read_input_token_cost": 2.5e-08, "input_cost_per_audio_token": 5e-07, @@ -41191,7 +38349,6 @@ "web_search_billing_unit": "per_query" }, "vertex_ai/gemini-3.1-flash-lite": { - "deprecation_date": "2027-05-07", "cache_read_input_token_cost": 2.5e-08, "cache_read_input_token_cost_flex": 1.25e-08, "cache_read_input_token_cost_priority": 4.5e-08, @@ -41210,7 +38367,6 @@ "output_cost_per_token_batches": 7.5e-07, "output_cost_per_token_flex": 7.5e-07, "output_cost_per_token_priority": 2.7e-06, - "regional_endpoint_uplift_multiplier": 1.1, "source": "https://cloud.google.com/vertex-ai/generative-ai/pricing#gemini-models", "supported_endpoints": [ "/v1/chat/completions", @@ -41249,7 +38405,6 @@ "web_search_billing_unit": "per_query" }, "vertex_ai/gemini-3.5-flash-lite": { - "deprecation_date": "2027-07-21", "cache_read_input_token_cost": 3e-08, "cache_read_input_token_cost_flex": 2e-08, "cache_read_input_token_cost_priority": 5e-08, @@ -41267,7 +38422,6 @@ "output_cost_per_token_batches": 1.25e-06, "output_cost_per_token_flex": 1.25e-06, "output_cost_per_token_priority": 4.5e-06, - "regional_endpoint_uplift_multiplier": 1.1, "source": "https://cloud.google.com/vertex-ai/generative-ai/pricing#gemini-models", "supported_endpoints": [ "/v1/chat/completions", @@ -41819,13 +38973,13 @@ "supports_vision": true }, "vertex_ai/openai/gpt-oss-120b-maas": { - "input_cost_per_token": 9e-08, + "input_cost_per_token": 1.5e-07, "litellm_provider": "vertex_ai-openai_models", "max_input_tokens": 131072, "max_output_tokens": 32768, "max_tokens": 32768, "mode": "chat", - "output_cost_per_token": 3.6e-07, + "output_cost_per_token": 6e-07, "source": "https://console.cloud.google.com/vertex-ai/publishers/openai/model-garden/gpt-oss-120b-maas", "supports_reasoning": true }, @@ -41907,13 +39061,13 @@ "supports_web_search": true }, "vertex_ai/qwen/qwen3-235b-a22b-instruct-2507-maas": { - "input_cost_per_token": 2.2e-07, + "input_cost_per_token": 2.5e-07, "litellm_provider": "vertex_ai-qwen_models", "max_input_tokens": 262144, "max_output_tokens": 16384, "max_tokens": 16384, "mode": "chat", - "output_cost_per_token": 8.8e-07, + "output_cost_per_token": 1e-06, "source": "https://cloud.google.com/vertex-ai/generative-ai/pricing", "supported_regions": [ "global", @@ -41923,13 +39077,13 @@ "supports_tool_choice": true }, "vertex_ai/qwen/qwen3-coder-480b-a35b-instruct-maas": { - "input_cost_per_token": 2.2e-07, + "input_cost_per_token": 1e-06, "litellm_provider": "vertex_ai-qwen_models", "max_input_tokens": 262144, "max_output_tokens": 32768, "max_tokens": 32768, "mode": "chat", - "output_cost_per_token": 1.8e-06, + "output_cost_per_token": 4e-06, "source": "https://cloud.google.com/vertex-ai/generative-ai/pricing", "supported_regions": [ "global" @@ -41968,7 +39122,6 @@ "supports_tool_choice": true }, "vertex_ai/veo-2.0-generate-001": { - "deprecation_date": "2026-06-30", "litellm_provider": "vertex_ai-video-models", "max_input_tokens": 1024, "max_tokens": 1024, @@ -41983,7 +39136,6 @@ ] }, "vertex_ai/veo-3.0-fast-generate-001": { - "deprecation_date": "2026-06-30", "litellm_provider": "vertex_ai-video-models", "max_input_tokens": 1024, "max_tokens": 1024, @@ -41998,7 +39150,6 @@ ] }, "vertex_ai/veo-3.0-generate-001": { - "deprecation_date": "2026-06-30", "litellm_provider": "vertex_ai-video-models", "max_input_tokens": 1024, "max_tokens": 1024, @@ -42041,7 +39192,6 @@ ] }, "vertex_ai/veo-3.1-generate-001": { - "deprecation_date": "2026-11-17", "litellm_provider": "vertex_ai-video-models", "max_input_tokens": 1024, "max_tokens": 1024, @@ -42056,7 +39206,6 @@ ] }, "vertex_ai/veo-3.1-fast-generate-001": { - "deprecation_date": "2026-11-17", "litellm_provider": "vertex_ai-video-models", "max_input_tokens": 1024, "max_tokens": 1024, @@ -42904,8 +40053,7 @@ "supports_prompt_caching": true, "supports_response_schema": false, "supports_tool_choice": true, - "supports_web_search": true, - "deprecation_date": "2026-05-15" + "supports_web_search": true }, "xai/grok-3-mini": { "cache_read_input_token_cost": 7.5e-08, @@ -43023,8 +40171,7 @@ "supports_function_calling": true, "supports_prompt_caching": true, "supports_tool_choice": true, - "supports_web_search": true, - "deprecation_date": "2026-05-15" + "supports_web_search": true }, "xai/grok-4-fast-reasoning": { "cache_read_input_token_cost": 5e-08, @@ -43093,8 +40240,7 @@ "supports_function_calling": true, "supports_prompt_caching": true, "supports_tool_choice": true, - "supports_web_search": true, - "deprecation_date": "2026-05-15" + "supports_web_search": true }, "xai/grok-4-1-fast": { "cache_read_input_token_cost": 5e-08, @@ -43370,27 +40516,6 @@ "supports_vision": true, "supports_web_search": true }, - "xai/grok-4.6": { - "cache_read_input_token_cost": 5e-07, - "cache_read_input_token_cost_above_200k_tokens": 1e-06, - "input_cost_per_token": 2e-06, - "input_cost_per_token_above_200k_tokens": 4e-06, - "litellm_provider": "xai", - "max_input_tokens": 500000, - "max_output_tokens": 500000, - "max_tokens": 500000, - "mode": "chat", - "output_cost_per_token": 6e-06, - "output_cost_per_token_above_200k_tokens": 1.2e-05, - "source": "https://docs.x.ai/developers/models", - "supports_function_calling": true, - "supports_prompt_caching": true, - "supports_reasoning": true, - "supports_response_schema": true, - "supports_tool_choice": true, - "supports_vision": true, - "supports_web_search": true - }, "xai/grok-beta": { "input_cost_per_token": 5e-06, "litellm_provider": "xai", @@ -43422,8 +40547,7 @@ "output_cost_per_token_above_200k_tokens": 4e-06, "cache_read_input_token_cost_above_200k_tokens": 4e-07, "supports_response_schema": true, - "supports_vision": true, - "deprecation_date": "2026-05-15" + "supports_vision": true }, "xai/grok-code-fast-1": { "cache_read_input_token_cost": 2e-07, @@ -43443,8 +40567,7 @@ "output_cost_per_token_above_200k_tokens": 4e-06, "cache_read_input_token_cost_above_200k_tokens": 4e-07, "supports_response_schema": true, - "supports_vision": true, - "deprecation_date": "2026-05-15" + "supports_vision": true }, "xai/grok-code-fast-1-0825": { "cache_read_input_token_cost": 2e-07, @@ -43464,8 +40587,7 @@ "output_cost_per_token_above_200k_tokens": 4e-06, "cache_read_input_token_cost_above_200k_tokens": 4e-07, "supports_response_schema": true, - "supports_vision": true, - "deprecation_date": "2026-05-15" + "supports_vision": true }, "xai/grok-vision-beta": { "input_cost_per_image": 5e-06, @@ -47706,11 +44828,6 @@ "max_tokens": 128000, "mode": "chat", "output_cost_per_token": 1e-05, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supports_function_calling": true, "supports_parallel_function_calling": true, "supports_pdf_input": true, @@ -47733,11 +44850,6 @@ "max_tokens": 128000, "mode": "chat", "output_cost_per_token": 1e-05, - "search_context_cost_per_query": { - "search_context_size_high": 0.01, - "search_context_size_low": 0.01, - "search_context_size_medium": 0.01 - }, "supports_function_calling": true, "supports_parallel_function_calling": true, "supports_pdf_input": true, @@ -47815,8 +44927,7 @@ "supports_function_calling": true, "supports_parallel_function_calling": true, "supports_system_messages": true, - "supports_tool_choice": true, - "deprecation_date": "2027-01-20" + "supports_tool_choice": true }, "gpt-realtime-whisper": { "input_cost_per_second": 0.0002833333333333333, @@ -48191,21 +45302,6 @@ "rpm": 10, "gemini_audio_only_live": true }, - "gemini/gemini-3.1-flash-tts-preview": { - "input_cost_per_token": 1e-06, - "litellm_provider": "gemini", - "max_input_tokens": 8192, - "max_output_tokens": 16384, - "max_tokens": 16384, - "mode": "audio_speech", - "output_cost_per_token": 2e-05, - "source": "https://ai.google.dev/gemini-api/docs/models/gemini-3.1-flash-tts-preview", - "supported_endpoints": [ - "/v1/audio/speech" - ], - "tpm": 4000000, - "rpm": 10 - }, "gemini-2.5-flash-preview-tts": { "input_cost_per_token": 3e-07, "litellm_provider": "gemini", @@ -48445,8 +45541,6 @@ } }, "vertex_ai/claude-sonnet-5@default": { - "deprecation_date": "2026-12-24", - "regional_endpoint_uplift_multiplier": 1.1, "supports_mid_conversation_system": true, "cache_creation_input_token_cost": 2.5e-06, "cache_creation_input_token_cost_above_1hr": 4e-06, @@ -48479,7 +45573,6 @@ "prompt_cache_min_tokens": 1024 }, "vertex_ai/claude-sonnet-4-6@default": { - "regional_endpoint_uplift_multiplier": 1.1, "supports_adaptive_thinking": true, "cache_creation_input_token_cost": 3.75e-06, "cache_creation_input_token_cost_above_1hr": 6e-06, @@ -48587,15 +45680,11 @@ }, "bedrock_mantle/openai.gpt-5.6-sol": { "input_cost_per_token": 5.5e-06, - "input_cost_per_token_above_272k_tokens": 1.1e-05, "cache_creation_input_token_cost": 6.875e-06, - "cache_creation_input_token_cost_above_272k_tokens": 1.375e-05, "cache_read_input_token_cost": 5.5e-07, - "cache_read_input_token_cost_above_272k_tokens": 1.1e-06, "output_cost_per_token": 3.3e-05, - "output_cost_per_token_above_272k_tokens": 4.95e-05, "litellm_provider": "bedrock_mantle", - "max_input_tokens": 1000000, + "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, "mode": "responses", @@ -48619,15 +45708,11 @@ }, "bedrock_mantle/openai.gpt-5.6-terra": { "input_cost_per_token": 2.2e-06, - "input_cost_per_token_above_272k_tokens": 4.4e-06, "cache_creation_input_token_cost": 2.75e-06, - "cache_creation_input_token_cost_above_272k_tokens": 5.5e-06, "cache_read_input_token_cost": 2.2e-07, - "cache_read_input_token_cost_above_272k_tokens": 4.4e-07, "output_cost_per_token": 1.32e-05, - "output_cost_per_token_above_272k_tokens": 1.98e-05, "litellm_provider": "bedrock_mantle", - 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"supports_vision": true - }, "volcengine/doubao-seed-2-0-pro-260215": { "litellm_provider": "volcengine", "max_input_tokens": 256000, @@ -49177,7 +46057,6 @@ "supports_function_calling": true, "supports_reasoning": true, "supports_system_messages": true, - "supports_native_structured_output": true, "supports_tool_choice": true, "source": "https://aws.amazon.com/bedrock/pricing/" }, @@ -49192,7 +46071,6 @@ "supports_function_calling": true, "supports_reasoning": true, "supports_system_messages": true, - "supports_native_structured_output": true, "supports_tool_choice": true, "source": "https://aws.amazon.com/bedrock/pricing/" }, @@ -49610,15 +46488,15 @@ }, "deepseek-v4-flash": { "cache_creation_input_token_cost": 0.0, - "cache_read_input_token_cost": 1.4e-08, - "input_cost_per_token": 4.4e-07, - "input_cost_per_token_cache_hit": 1.4e-08, + "cache_read_input_token_cost": 2.8e-09, + "input_cost_per_token": 1.4e-07, + "input_cost_per_token_cache_hit": 2.8e-09, "litellm_provider": "deepseek", "max_input_tokens": 1000000, - "max_output_tokens": 393216, - "max_tokens": 393216, + "max_output_tokens": 8192, + "max_tokens": 8192, "mode": "chat", - "output_cost_per_token": 1.32e-06, + "output_cost_per_token": 2.8e-07, "source": "https://api-docs.deepseek.com/quick_start/pricing", "supported_endpoints": [ "/v1/chat/completions" @@ -49636,15 +46514,15 @@ }, "deepseek-v4-pro": { "cache_creation_input_token_cost": 0.0, - "cache_read_input_token_cost": 4.4e-08, - "input_cost_per_token": 1.32e-06, - "input_cost_per_token_cache_hit": 4.4e-08, + "cache_read_input_token_cost": 3.625e-09, + "input_cost_per_token": 4.35e-07, + "input_cost_per_token_cache_hit": 3.625e-09, "litellm_provider": "deepseek", "max_input_tokens": 1000000, - "max_output_tokens": 393216, - "max_tokens": 393216, + "max_output_tokens": 8192, + "max_tokens": 8192, "mode": "chat", - "output_cost_per_token": 3.96e-06, + "output_cost_per_token": 8.7e-07, "source": "https://api-docs.deepseek.com/quick_start/pricing", "supported_endpoints": [ "/v1/chat/completions" @@ -49662,15 +46540,15 @@ }, "deepseek/deepseek-v4-flash": { "cache_creation_input_token_cost": 0.0, - "cache_read_input_token_cost": 1.4e-08, - "input_cost_per_token": 4.4e-07, - "input_cost_per_token_cache_hit": 1.4e-08, + "cache_read_input_token_cost": 2.8e-09, + "input_cost_per_token": 1.4e-07, + "input_cost_per_token_cache_hit": 2.8e-09, "litellm_provider": "deepseek", "max_input_tokens": 1000000, - "max_output_tokens": 393216, - "max_tokens": 393216, + "max_output_tokens": 8192, + "max_tokens": 8192, "mode": "chat", - "output_cost_per_token": 1.32e-06, + "output_cost_per_token": 2.8e-07, "source": "https://api-docs.deepseek.com/quick_start/pricing", "supported_endpoints": [ "/v1/chat/completions" @@ -49688,15 +46566,15 @@ }, "deepseek/deepseek-v4-pro": { "cache_creation_input_token_cost": 0.0, - "cache_read_input_token_cost": 4.4e-08, - "input_cost_per_token": 1.32e-06, - "input_cost_per_token_cache_hit": 4.4e-08, + "cache_read_input_token_cost": 3.625e-09, + "input_cost_per_token": 4.35e-07, + "input_cost_per_token_cache_hit": 3.625e-09, "litellm_provider": "deepseek", "max_input_tokens": 1000000, - 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}, - "cognition/swe-1.7-lightning": { - "input_cost_per_token": 2.5e-06, - "output_cost_per_token": 1.25e-05, - "cache_read_input_token_cost": 1e-06, - "litellm_provider": "cognition", - "mode": "chat", - "supports_function_calling": true, - "supports_prompt_caching": true, - "source": "https://docs.devin.ai/desktop/models" - }, "pinstripes/ps/glm-4.5-air": { "max_tokens": 128000, "max_input_tokens": 128000, @@ -50040,8 +46888,6 @@ }, "source": "https://docs.claude.com/en/docs/about-claude/models/overview", "supports_adaptive_thinking": true, - "thinking_always_on": true, - "supports_mid_conversation_system": true, "supports_assistant_prefill": false, "supports_computer_use": true, "supports_function_calling": true, @@ -50054,8 +46900,7 @@ "supports_sampling_params": false, "supports_tool_choice": true, "supports_vision": true, - "supports_xhigh_reasoning_effort": true, - "supports_native_structured_output": true + "supports_xhigh_reasoning_effort": true }, "claude-mythos-preview": { "cache_creation_input_token_cost": 1.25e-05, @@ -50076,7 +46921,6 @@ }, "source": "https://docs.claude.com/en/docs/about-claude/models/overview", "supports_adaptive_thinking": true, - "thinking_always_on": true, "supports_assistant_prefill": false, "supports_computer_use": true, "supports_function_calling": true, @@ -50089,8 +46933,7 @@ "supports_sampling_params": false, "supports_tool_choice": true, "supports_vision": true, - "supports_xhigh_reasoning_effort": true, - "supports_native_structured_output": true + "supports_xhigh_reasoning_effort": true }, "gemini/gemini-robotics-er-2-streaming-preview": { "input_cost_per_audio_token": 2e-06, @@ -50136,8 +46979,7 @@ "supports_function_calling": true, "supports_reasoning": true, "supports_response_schema": true, - "supports_tool_choice": true, - "supports_vision": true + "supports_tool_choice": true }, "mistral/labs-leanstral-1-5": { "input_cost_per_token": 0.0, @@ -50255,14 +47097,6 @@ "supports_adaptive_thinking": true } }, - { - "name": "claude-always-on-thinking", - "pattern": "claude-(?:fable|mythos)-", - "description": "Any Claude Fable or Mythos id, under any provider namespace and any version. These families always think and reject thinking.type=disabled with a 400; the Anthropic transformations omit the param instead, so the model falls back to its default adaptive thinking.", - "model_info": { - "thinking_always_on": true - } - }, { "name": "claude-mid-conversation-system", "pattern": "claude-[a-z]+-(?:4[-._](?:[89]|[1-9]\\d)(?!\\d)|(?:[5-9]|[1-9]\\d)(?!\\d)(?:[-._]\\d{1,2}(?!\\d))?)", @@ -50272,424 +47106,5 @@ } } ] - }, - "gemini/gemini-3.5-live-translate-preview": { - "input_cost_per_audio_token": 3.5e-06, - "input_cost_per_token": 3.5e-06, - "litellm_provider": "gemini", - "mode": "chat", - "output_cost_per_audio_token": 2.1e-05, - "output_cost_per_token": 2.1e-05, - "rpm": 10, - "source": "https://ai.google.dev/gemini-api/docs/pricing", - "supported_endpoints": [ - "/v1/realtime" - ], - "supported_modalities": [ - "audio" - ], - "supported_output_modalities": [ - "audio" - ], - "supports_audio_input": true, - "supports_audio_output": true, - "tpm": 250000 - }, - "perplexity/pplx-embed-context-v1-0.6b": { - 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}, - "fireworks_ai/accounts/fireworks/routers/glm-5p2-fast-us": { - "cache_read_input_token_cost": 2.1e-07, - "input_cost_per_token": 2.1e-06, - "litellm_provider": "fireworks_ai", - "max_input_tokens": 1048576, - "max_output_tokens": 131072, - "max_tokens": 131072, - "mode": "chat", - "output_cost_per_token": 6.6e-06, - "source": "https://docs.fireworks.ai/serverless/pricing", - "supports_function_calling": true, - "supports_reasoning": true, - "supports_response_schema": true, - "supports_tool_choice": true, - "supports_vision": false - }, - "fireworks_ai/accounts/fireworks/routers/kimi-k3-fast": { - "cache_read_input_token_cost": 4.5e-07, - "input_cost_per_token": 4.5e-06, - "litellm_provider": "fireworks_ai", - "max_input_tokens": 1048576, - "max_output_tokens": 131072, - "max_tokens": 131072, - "mode": "chat", - "output_cost_per_token": 2.25e-05, - "source": "https://docs.fireworks.ai/serverless/pricing", - "supports_function_calling": true, - "supports_reasoning": true, - "supports_response_schema": true, - "supports_tool_choice": true, - "supports_vision": true - }, - "fireworks_ai/accounts/fireworks/routers/kimi-k3-us": { - "cache_read_input_token_cost": 3.3e-07, - "input_cost_per_token": 3.3e-06, - "litellm_provider": "fireworks_ai", - "max_input_tokens": 1048576, - "max_output_tokens": 131072, - "max_tokens": 131072, - "mode": "chat", - "output_cost_per_token": 1.65e-05, - "source": "https://docs.fireworks.ai/serverless/pricing", - "supports_function_calling": true, - "supports_reasoning": true, - "supports_response_schema": true, - "supports_tool_choice": true, - "supports_vision": true } } From e6276da9ad4eab9683a783fece5e7f2c198fea3a Mon Sep 17 00:00:00 2001 From: Sam Alghaithi Date: Fri, 28 Aug 2026 23:58:31 -0700 Subject: [PATCH 07/21] Tidy transformation.py: drop unused import, correct stale comments --- litellm/llms/gandr/text_to_speech/transformation.py | 10 ++++------ 1 file changed, 4 insertions(+), 6 deletions(-) diff --git a/litellm/llms/gandr/text_to_speech/transformation.py b/litellm/llms/gandr/text_to_speech/transformation.py index cb4cd4075ee..4176e6caeab 100644 --- a/litellm/llms/gandr/text_to_speech/transformation.py +++ b/litellm/llms/gandr/text_to_speech/transformation.py @@ -4,13 +4,12 @@ Gandr Text-to-Speech transformation Maps OpenAI TTS spec to the Gandr /v1/audio/speech OpenAI-compatible API. Gandr is a spoken-audio inference provider. Its HTTP lane accepts the OpenAI -Chat Completions request shape and returns raw audio bytes, so the same +Audio Speech request shape and returns raw audio bytes, so the same `sample` that works against `tts.gandr.ai/v1/audio/speech` with the official OpenAI SDK works here unchanged. """ from typing import TYPE_CHECKING, Any, Final -from urllib.parse import urlencode import httpx from httpx import Headers @@ -51,7 +50,7 @@ class GandrTextToSpeechConfig(BaseTextToSpeechConfig): DEFAULT_OUTPUT_FORMAT = "wav" SUPPORTED_MODES = ["audio_speech"] - #: Gandr's audible temperature range. The engine rests on 0.6-1.5. + #: Gandr's speed range. The engine clamps speed to 0.6-1.5. SUPPORTED_SPEED_RANGE = (0.6, 1.5) def get_supported_openai_params(self, model: str) -> list: @@ -97,9 +96,8 @@ class GandrTextToSpeechConfig(BaseTextToSpeechConfig): if mapped_voice is None: raise ValueError("Gandr voice is required. Pass `voice` when calling `litellm.speech()`.") - # `response_format` is passed through under its OpenAI name; the door - # serves wav and pcm natively and returns an honest 400 for anything - # else, which surfaces the available formats to the caller directly. + # `response_format` is passed through under its OpenAI name; the + # endpoint serves mp3 (its default), wav and pcm. response_format: Final = params.get("response_format") if response_format is None: params["response_format"] = self.DEFAULT_OUTPUT_FORMAT From 01acf149f7f58cddbd43e4e9bf6ffa1ed8c8a6a4 Mon Sep 17 00:00:00 2001 From: Sam Alghaithi Date: Sat, 29 Aug 2026 00:42:25 -0700 Subject: [PATCH 08/21] Annotate SUPPORTED_MODES as ClassVar for the ruff strict gate --- litellm/llms/gandr/text_to_speech/transformation.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/litellm/llms/gandr/text_to_speech/transformation.py b/litellm/llms/gandr/text_to_speech/transformation.py index 4176e6caeab..4b6378e6dd5 100644 --- a/litellm/llms/gandr/text_to_speech/transformation.py +++ b/litellm/llms/gandr/text_to_speech/transformation.py @@ -9,7 +9,7 @@ Audio Speech request shape and returns raw audio bytes, so the same OpenAI SDK works here unchanged. """ -from typing import TYPE_CHECKING, Any, Final +from typing import TYPE_CHECKING, Any, ClassVar, Final import httpx from httpx import Headers @@ -48,7 +48,7 @@ class GandrTextToSpeechConfig(BaseTextToSpeechConfig): TTS_BASE_URL = "https://tts.gandr.ai/v1" TTS_ENDPOINT_PATH = "/audio/speech" DEFAULT_OUTPUT_FORMAT = "wav" - SUPPORTED_MODES = ["audio_speech"] + SUPPORTED_MODES: ClassVar[list[str]] = ["audio_speech"] #: Gandr's speed range. The engine clamps speed to 0.6-1.5. SUPPORTED_SPEED_RANGE = (0.6, 1.5) From 5218d83fe12c57775b12fb983af79ba73ada0d5c Mon Sep 17 00:00:00 2001 From: Sam Alghaithi Date: Sat, 29 Aug 2026 00:44:49 -0700 Subject: [PATCH 09/21] Regenerate provider_endpoints_support.json from the base file plus the gandr entry only --- provider_endpoints_support.json | 20 +++++++++++++++++++- 1 file changed, 19 insertions(+), 1 deletion(-) diff --git a/provider_endpoints_support.json b/provider_endpoints_support.json index 00ff4824392..72d039e6ee8 100644 --- a/provider_endpoints_support.json +++ b/provider_endpoints_support.json @@ -488,7 +488,9 @@ "audio_speech": false, "moderations": false, "batches": false, - "rerank": false + "rerank": false, + "a2a": false, + "interactions": false } }, "chutes": { @@ -2986,6 +2988,22 @@ "rerank": false } }, + "charity_engine": { + "display_name": "Charity Engine (`charity_engine`)", + "url": "https://docs.litellm.ai/docs/providers/charity_engine", + "endpoints": { + "chat_completions": true, + "messages": true, + "responses": true, + "embeddings": false, + "image_generations": false, + "audio_transcriptions": false, + "audio_speech": false, + "moderations": false, + "batches": false, + "rerank": false + } + }, "empiriolabs": { "display_name": "EmpirioLabs (`empiriolabs`)", "url": "https://docs.litellm.ai/docs/providers/empiriolabs", From e283a7cdbe9abc5f0b20235174b56ffec4f8c6cf Mon Sep 17 00:00:00 2001 From: Sam Alghaithi Date: Sat, 29 Aug 2026 01:10:44 -0700 Subject: [PATCH 10/21] fix lint: sort import block, suppress TID251 for the Any-typed base interface, inline url return --- litellm/llms/gandr/text_to_speech/transformation.py | 9 +++------ 1 file changed, 3 insertions(+), 6 deletions(-) diff --git a/litellm/llms/gandr/text_to_speech/transformation.py b/litellm/llms/gandr/text_to_speech/transformation.py index 4b6378e6dd5..5ecabc83ae1 100644 --- a/litellm/llms/gandr/text_to_speech/transformation.py +++ b/litellm/llms/gandr/text_to_speech/transformation.py @@ -9,12 +9,11 @@ Audio Speech request shape and returns raw audio bytes, so the same OpenAI SDK works here unchanged. """ -from typing import TYPE_CHECKING, Any, ClassVar, Final +from typing import TYPE_CHECKING, Any, ClassVar, Final # noqa: TID251 # Any matches the base interface import httpx -from httpx import Headers - import litellm +from httpx import Headers from litellm.llms.base_llm.chat.transformation import BaseLLMException from litellm.llms.base_llm.text_to_speech.transformation import ( BaseTextToSpeechConfig, @@ -245,6 +244,4 @@ class GandrTextToSpeechConfig(BaseTextToSpeechConfig): base_url = api_base or get_secret_str("GANDR_API_BASE") or self.TTS_BASE_URL base_url = base_url.rstrip("/") - url = f"{base_url}{self.TTS_ENDPOINT_PATH}" - - return url + return f"{base_url}{self.TTS_ENDPOINT_PATH}" From e1d0a91a1b933786c679d388c5ab7867e91e69e6 Mon Sep 17 00:00:00 2001 From: Sam Alghaithi Date: Sat, 29 Aug 2026 02:18:09 -0700 Subject: [PATCH 11/21] fix I001: ruff sorts the litellm module import as first-party in-repo --- litellm/llms/gandr/text_to_speech/transformation.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/litellm/llms/gandr/text_to_speech/transformation.py b/litellm/llms/gandr/text_to_speech/transformation.py index 5ecabc83ae1..0950a67fbf2 100644 --- a/litellm/llms/gandr/text_to_speech/transformation.py +++ b/litellm/llms/gandr/text_to_speech/transformation.py @@ -12,7 +12,6 @@ OpenAI SDK works here unchanged. from typing import TYPE_CHECKING, Any, ClassVar, Final # noqa: TID251 # Any matches the base interface import httpx -import litellm from httpx import Headers from litellm.llms.base_llm.chat.transformation import BaseLLMException from litellm.llms.base_llm.text_to_speech.transformation import ( @@ -22,6 +21,8 @@ from litellm.llms.base_llm.text_to_speech.transformation import ( from litellm.secret_managers.main import get_secret_str from litellm.types.utils import all_litellm_params +import litellm + from ..common_utils import GandrException if TYPE_CHECKING: From 1f2216dcb09fbcd6bdccff1f410b8c77856d9453 Mon Sep 17 00:00:00 2001 From: Sam Alghaithi Date: Sat, 29 Aug 2026 02:25:46 -0700 Subject: [PATCH 12/21] fix I001: import order per ruff in the real repo context --- litellm/llms/gandr/text_to_speech/transformation.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/litellm/llms/gandr/text_to_speech/transformation.py b/litellm/llms/gandr/text_to_speech/transformation.py index 0950a67fbf2..4112e52d24c 100644 --- a/litellm/llms/gandr/text_to_speech/transformation.py +++ b/litellm/llms/gandr/text_to_speech/transformation.py @@ -13,6 +13,8 @@ from typing import TYPE_CHECKING, Any, ClassVar, Final # noqa: TID251 # Any ma import httpx from httpx import Headers + +import litellm from litellm.llms.base_llm.chat.transformation import BaseLLMException from litellm.llms.base_llm.text_to_speech.transformation import ( BaseTextToSpeechConfig, @@ -21,8 +23,6 @@ from litellm.llms.base_llm.text_to_speech.transformation import ( from litellm.secret_managers.main import get_secret_str from litellm.types.utils import all_litellm_params -import litellm - from ..common_utils import GandrException if TYPE_CHECKING: From 2e29b5c75fabc4e3cfb4b302ce2b45731e8faec2 Mon Sep 17 00:00:00 2001 From: Sam Alghaithi Date: Sat, 29 Aug 2026 09:43:56 +0000 Subject: [PATCH 13/21] satisfy the type-discipline gate: Final/TypeAlias annotations, isinstance instead of cast, single-binding restructures --- .../gandr/text_to_speech/transformation.py | 44 +++++++++++-------- litellm/main.py | 15 ++++--- 2 files changed, 33 insertions(+), 26 deletions(-) diff --git a/litellm/llms/gandr/text_to_speech/transformation.py b/litellm/llms/gandr/text_to_speech/transformation.py index 4112e52d24c..a271e0abac6 100644 --- a/litellm/llms/gandr/text_to_speech/transformation.py +++ b/litellm/llms/gandr/text_to_speech/transformation.py @@ -9,7 +9,7 @@ Audio Speech request shape and returns raw audio bytes, so the same OpenAI SDK works here unchanged. """ -from typing import TYPE_CHECKING, Any, ClassVar, Final # noqa: TID251 # Any matches the base interface +from typing import TYPE_CHECKING, Any, ClassVar, Final, TypeAlias # noqa: TID251 # Any matches the base interface import httpx from httpx import Headers @@ -29,8 +29,27 @@ if TYPE_CHECKING: from litellm.litellm_core_utils.litellm_logging import Logging as LiteLLMLoggingObj from litellm.types.llms.openai import HttpxBinaryResponseContent else: - LiteLLMLoggingObj = Any - HttpxBinaryResponseContent = Any + LiteLLMLoggingObj: TypeAlias = Any + HttpxBinaryResponseContent: TypeAlias = Any + + +def _resolve_voice(voice: Any) -> str | None: + """Return a voice id from a plain string or a voice-object mapping.""" + if isinstance(voice, str) and voice.strip(): + return voice + if isinstance(voice, dict): + for key in ("voice_id", "id", "name"): + candidate = voice.get(key) + if isinstance(candidate, str) and candidate.strip(): + return candidate + return None + + +def _as_voice_str(value: Any) -> str | None: + """Return the value if it is a non-empty string, else None.""" + if isinstance(value, str) and value.strip(): + return value + return None class GandrTextToSpeechConfig(BaseTextToSpeechConfig): @@ -78,20 +97,8 @@ class GandrTextToSpeechConfig(BaseTextToSpeechConfig): params: Final = dict(optional_params) if optional_params else {} passthrough_kwargs: Final = dict(kwargs) if kwargs is not None else {} - mapped_voice: str | None = None - if isinstance(voice, str) and voice.strip(): - mapped_voice = voice - elif isinstance(voice, dict): - for key in ("voice_id", "id", "name"): - candidate = voice.get(key) - if isinstance(candidate, str) and candidate.strip(): - mapped_voice = candidate - break - - if mapped_voice is None: - voice_override: Final = params.pop("voice_id", None) - if isinstance(voice_override, str) and voice_override.strip(): - mapped_voice = voice_override + voice_override: Final = params.pop("voice_id", None) + mapped_voice: Final = _resolve_voice(voice) or _as_voice_str(voice_override) if mapped_voice is None: raise ValueError("Gandr voice is required. Pass `voice` when calling `litellm.speech()`.") @@ -242,7 +249,6 @@ class GandrTextToSpeechConfig(BaseTextToSpeechConfig): """ Construct the Gandr endpoint URL. """ - base_url = api_base or get_secret_str("GANDR_API_BASE") or self.TTS_BASE_URL - base_url = base_url.rstrip("/") + base_url: Final = (api_base or get_secret_str("GANDR_API_BASE") or self.TTS_BASE_URL).rstrip("/") return f"{base_url}{self.TTS_ENDPOINT_PATH}" diff --git a/litellm/main.py b/litellm/main.py index a3e812d8e30..42e5b4d0538 100644 --- a/litellm/main.py +++ b/litellm/main.py @@ -8214,7 +8214,7 @@ def speech( if api_key is not None: litellm_params_dict["api_key"] = api_key - response = base_llm_http_handler.text_to_speech_handler( + response: Final = base_llm_http_handler.text_to_speech_handler( model=model, input=input, voice=voice_id, @@ -8233,19 +8233,20 @@ def speech( GandrTextToSpeechConfig, ) - if text_to_speech_provider_config is None: - text_to_speech_provider_config = GandrTextToSpeechConfig() + if text_to_speech_provider_config is None: # rebind-ok: default construction when unset + text_to_speech_provider_config = GandrTextToSpeechConfig() # rebind-ok: default construction when unset - gandr_config: Final = cast(GandrTextToSpeechConfig, text_to_speech_provider_config) + assert isinstance(text_to_speech_provider_config, GandrTextToSpeechConfig) + gandr_config: Final = text_to_speech_provider_config - voice_id = voice if isinstance(voice, str) else None - if voice_id is None or not voice_id.strip(): + voice_input: Final = voice if isinstance(voice, str) else None + if voice_input is None or not voice_input.strip(): raise litellm.BadRequestError( message="'voice' must resolve to a Gandr voice id for Gandr TTS", model=model, llm_provider=custom_llm_provider, ) - voice_id = voice_id.strip() + voice_id: Final = voice_input.strip() if api_base is not None: litellm_params_dict["api_base"] = api_base From 027ba51ca53a36b7a0a8294e92bf642c2c8b0002 Mon Sep 17 00:00:00 2001 From: Sam Alghaithi Date: Sat, 29 Aug 2026 09:54:23 +0000 Subject: [PATCH 14/21] type the voice helpers with object instead of Any: their ANN401 budget counts it --- litellm/llms/gandr/text_to_speech/transformation.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/litellm/llms/gandr/text_to_speech/transformation.py b/litellm/llms/gandr/text_to_speech/transformation.py index a271e0abac6..e09fcbc51b1 100644 --- a/litellm/llms/gandr/text_to_speech/transformation.py +++ b/litellm/llms/gandr/text_to_speech/transformation.py @@ -33,7 +33,7 @@ else: HttpxBinaryResponseContent: TypeAlias = Any -def _resolve_voice(voice: Any) -> str | None: +def _resolve_voice(voice: object) -> str | None: """Return a voice id from a plain string or a voice-object mapping.""" if isinstance(voice, str) and voice.strip(): return voice @@ -45,7 +45,7 @@ def _resolve_voice(voice: Any) -> str | None: return None -def _as_voice_str(value: Any) -> str | None: +def _as_voice_str(value: object) -> str | None: """Return the value if it is a non-empty string, else None.""" if isinstance(value, str) and value.strip(): return value From 90060e20d365ddf32ae35bd95579fedecc232823 Mon Sep 17 00:00:00 2001 From: Sam Alghaithi Date: Sat, 29 Aug 2026 21:42:08 -0700 Subject: [PATCH 15/21] satisfy the mutable-collection rules: freeze what can be frozen, reasoned suppressions where the base interface forces dicts --- litellm/llms/gandr/__init__.py | 2 +- litellm/llms/gandr/text_to_speech/__init__.py | 2 +- .../gandr/text_to_speech/transformation.py | 78 +++++++++++-------- 3 files changed, 47 insertions(+), 35 deletions(-) diff --git a/litellm/llms/gandr/__init__.py b/litellm/llms/gandr/__init__.py index 9e31b16b9db..80203345e85 100644 --- a/litellm/llms/gandr/__init__.py +++ b/litellm/llms/gandr/__init__.py @@ -4,4 +4,4 @@ Gandr provider from .text_to_speech.transformation import GandrException, GandrTextToSpeechConfig -__all__ = ["GandrException", "GandrTextToSpeechConfig"] +__all__ = ("GandrException", "GandrTextToSpeechConfig") diff --git a/litellm/llms/gandr/text_to_speech/__init__.py b/litellm/llms/gandr/text_to_speech/__init__.py index 85eaa7f2ddc..43af2795540 100644 --- a/litellm/llms/gandr/text_to_speech/__init__.py +++ b/litellm/llms/gandr/text_to_speech/__init__.py @@ -4,4 +4,4 @@ Gandr Text-to-Speech module from .transformation import GandrException, GandrTextToSpeechConfig -__all__ = ["GandrException", "GandrTextToSpeechConfig"] +__all__ = ("GandrException", "GandrTextToSpeechConfig") diff --git a/litellm/llms/gandr/text_to_speech/transformation.py b/litellm/llms/gandr/text_to_speech/transformation.py index e09fcbc51b1..75b31702f58 100644 --- a/litellm/llms/gandr/text_to_speech/transformation.py +++ b/litellm/llms/gandr/text_to_speech/transformation.py @@ -67,25 +67,25 @@ class GandrTextToSpeechConfig(BaseTextToSpeechConfig): TTS_BASE_URL = "https://tts.gandr.ai/v1" TTS_ENDPOINT_PATH = "/audio/speech" DEFAULT_OUTPUT_FORMAT = "wav" - SUPPORTED_MODES: ClassVar[list[str]] = ["audio_speech"] + SUPPORTED_MODES: ClassVar[list[str]] = ["audio_speech"] # mutable-ok: matches the base class attribute type #: Gandr's speed range. The engine clamps speed to 0.6-1.5. SUPPORTED_SPEED_RANGE = (0.6, 1.5) - def get_supported_openai_params(self, model: str) -> list: + def get_supported_openai_params(self, model: str) -> list: # mutable-ok: matches the base interface signature """ Gandr TTS supports these OpenAI parameters """ - return ["voice", "response_format", "speed"] + return ["voice", "response_format", "speed"] # mutable-ok: matches the base interface signature def map_openai_params( self, model: str, - optional_params: dict, - voice: str | dict | None = None, + optional_params: dict, # mutable-ok: matches the base interface signature + voice: str | dict | None = None, # mutable-ok: matches the base interface signature drop_params: bool = False, - kwargs: dict[str, Any] | None = None, - ) -> tuple[str | None, dict]: + kwargs: dict[str, Any] | None = None, # mutable-ok: matches the base interface signature + ) -> tuple[str | None, dict]: # mutable-ok: matches the base interface signature """ Map OpenAI parameters to Gandr TTS parameters. @@ -94,8 +94,12 @@ class GandrTextToSpeechConfig(BaseTextToSpeechConfig): preserved on the body under their OpenAI names, which means an unmodified client always gets audio back. """ - params: Final = dict(optional_params) if optional_params else {} - passthrough_kwargs: Final = dict(kwargs) if kwargs is not None else {} + params: Final = ( + dict(optional_params) if optional_params else {} + ) # mutable-ok: local working copy, keys popped below + passthrough_kwargs: Final = ( + dict(kwargs) if kwargs is not None else {} + ) # mutable-ok: local working copy, keys popped below voice_override: Final = params.pop("voice_id", None) mapped_voice: Final = _resolve_voice(voice) or _as_voice_str(voice_override) @@ -118,17 +122,21 @@ class GandrTextToSpeechConfig(BaseTextToSpeechConfig): except (TypeError, ValueError): params.pop("speed", None) - mapped_params: Final[dict[str, Any]] = {k: v for k, v in params.items() if v is not None} + mapped_params: Final[dict[str, Any]] = { + k: v for k, v in params.items() if v is not None + } # mutable-ok: returned per the base contract - reserved_kwarg_keys: Final = set(all_litellm_params) | { - "voice", - "model", - "response_format", - "output_format", - "extra_body", - "user", - } - for key in list(passthrough_kwargs.keys()): + reserved_kwarg_keys: Final = frozenset(all_litellm_params) | frozenset( + ( + "voice", + "model", + "response_format", + "output_format", + "extra_body", + "user", + ) + ) + for key in tuple(passthrough_kwargs): if key in reserved_kwarg_keys: continue value = passthrough_kwargs[key] @@ -140,11 +148,11 @@ class GandrTextToSpeechConfig(BaseTextToSpeechConfig): def validate_environment( self, - headers: dict, + headers: dict, # mutable-ok: matches the base interface signature model: str, api_key: str | None = None, api_base: str | None = None, - ) -> dict: + ) -> dict: # mutable-ok: matches the base interface signature """ Validate the Gandr environment and set up authentication headers. @@ -165,24 +173,26 @@ class GandrTextToSpeechConfig(BaseTextToSpeechConfig): "api_key when overriding api_base." ) - api_key = api_key or server_api_key + resolved_api_key: Final = api_key or server_api_key - if api_key is None: + if resolved_api_key is None: raise ValueError( "Gandr API key is required. Set GANDR_API_KEY environment variable " "or pass `api_key` to `litellm.speech()`." ) headers.update( - { - "Authorization": f"Bearer {api_key}", + { # mutable-ok: field type is dict upstream + "Authorization": f"Bearer {resolved_api_key}", "Content-Type": "application/json", } ) return headers - def get_error_class(self, error_message: str, status_code: int, headers: dict | Headers) -> BaseLLMException: + def get_error_class( + self, error_message: str, status_code: int, headers: dict | Headers + ) -> BaseLLMException: # mutable-ok: matches the base interface signature return GandrException(message=error_message, status_code=status_code, headers=headers) def transform_text_to_speech_request( @@ -190,9 +200,9 @@ class GandrTextToSpeechConfig(BaseTextToSpeechConfig): model: str, input: str, voice: str | None, - optional_params: dict, - litellm_params: dict, - headers: dict, + optional_params: dict, # mutable-ok: matches the base interface signature + litellm_params: dict, # mutable-ok: matches the base interface signature + headers: dict, # mutable-ok: matches the base interface signature ) -> TextToSpeechRequestData: """ Build the Gandr TTS request payload. The body is OpenAI-shaped @@ -200,10 +210,12 @@ class GandrTextToSpeechConfig(BaseTextToSpeechConfig): HTTP handler attaches the required `Authorization: Bearer` header from `validate_environment`. """ - params: Final = dict(optional_params) if optional_params else {} + params: Final = ( + dict(optional_params) if optional_params else {} + ) # mutable-ok: local working copy, keys popped below extra_body: Final = params.pop("extra_body", None) - request_body: Final[dict[str, Any]] = { + request_body: Final[dict[str, Any]] = { # mutable-ok: JSON request body consumed by the HTTP handler "input": input, "model": model, "voice": voice, @@ -224,7 +236,7 @@ class GandrTextToSpeechConfig(BaseTextToSpeechConfig): return TextToSpeechRequestData( dict_body=request_body, - headers={"Content-Type": "application/json"}, + headers={"Content-Type": "application/json"}, # mutable-ok: field type is dict upstream ) def transform_text_to_speech_response( @@ -244,7 +256,7 @@ class GandrTextToSpeechConfig(BaseTextToSpeechConfig): self, model: str, api_base: str | None, - litellm_params: dict, + litellm_params: dict, # mutable-ok: matches the base interface signature ) -> str: """ Construct the Gandr endpoint URL. From 5fe8e697a9f6ddaa70a5cf205acc09c437f95da6 Mon Sep 17 00:00:00 2001 From: Sam Alghaithi Date: Sat, 29 Aug 2026 22:07:10 -0700 Subject: [PATCH 16/21] fix: keep the gandr branch's bindings branch-local in audio_speech --- litellm/main.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/litellm/main.py b/litellm/main.py index 42e5b4d0538..5ea91e4f489 100644 --- a/litellm/main.py +++ b/litellm/main.py @@ -8214,7 +8214,7 @@ def speech( if api_key is not None: litellm_params_dict["api_key"] = api_key - response: Final = base_llm_http_handler.text_to_speech_handler( + response = base_llm_http_handler.text_to_speech_handler( model=model, input=input, voice=voice_id, @@ -8246,17 +8246,17 @@ def speech( model=model, llm_provider=custom_llm_provider, ) - voice_id: Final = voice_input.strip() + gandr_voice_id: Final = voice_input.strip() if api_base is not None: litellm_params_dict["api_base"] = api_base if api_key is not None: litellm_params_dict["api_key"] = api_key - response = base_llm_http_handler.text_to_speech_handler( + response = base_llm_http_handler.text_to_speech_handler( # rebind-ok: every provider branch assigns response for the shared return model=model, input=input, - voice=voice_id, + voice=gandr_voice_id, text_to_speech_provider_config=gandr_config, text_to_speech_optional_params=optional_params, custom_llm_provider=custom_llm_provider, From f1e58c493482febfb253407d60c55b91781c3809 Mon Sep 17 00:00:00 2001 From: Sam Alghaithi Date: Mon, 7 Sep 2026 16:08:25 -0700 Subject: [PATCH 17/21] test(gandr): cover the speech route, voice objects, server keys and the error class --- .../llms/gandr/test_gandr_speech_route.py | 242 ++++++++++++++++++ 1 file changed, 242 insertions(+) create mode 100644 tests/test_litellm/llms/gandr/test_gandr_speech_route.py diff --git a/tests/test_litellm/llms/gandr/test_gandr_speech_route.py b/tests/test_litellm/llms/gandr/test_gandr_speech_route.py new file mode 100644 index 00000000000..c8942372d4c --- /dev/null +++ b/tests/test_litellm/llms/gandr/test_gandr_speech_route.py @@ -0,0 +1,242 @@ +""" +Route and edge coverage for the Gandr text to speech provider. + +The transformation tests next to this file cover the happy paths. These +tests reach the remaining branches: voice objects, kwargs passthrough, +server-managed keys, the error class, extra_body merging, the response +wrapper, the provider config registry and the litellm.speech() route with +the HTTP handler mocked. +""" + +from unittest.mock import MagicMock, patch + +import httpx +import pytest + +import litellm +from litellm import speech +from litellm.llms.gandr.common_utils import GandrException +from litellm.llms.gandr.text_to_speech.transformation import ( + GandrTextToSpeechConfig, + _as_voice_str, + _resolve_voice, +) +from litellm.types.llms.openai import HttpxBinaryResponseContent +from litellm.utils import ProviderConfigManager + + +def test_resolve_voice_accepts_strings_and_voice_objects(): + assert _resolve_voice("gandr-mia") == "gandr-mia" + assert _resolve_voice(" ") is None + assert _resolve_voice({"voice_id": "gandr-ava"}) == "gandr-ava" + assert _resolve_voice({"id": "gandr-leo"}) == "gandr-leo" + assert _resolve_voice({"name": "gandr-dane"}) == "gandr-dane" + assert _resolve_voice({"voice_id": "", "name": "gandr-jenny"}) == "gandr-jenny" + assert _resolve_voice({"other": "x"}) is None + assert _resolve_voice(42) is None + + +def test_as_voice_str(): + assert _as_voice_str("gandr-mia") == "gandr-mia" + assert _as_voice_str("") is None + assert _as_voice_str(None) is None + assert _as_voice_str(7) is None + + +def test_map_openai_params_voice_object_and_voice_id_fallback(): + config = GandrTextToSpeechConfig() + + voice, mapped = config.map_openai_params( + model="gandr/mia", + optional_params={"voice_id": "gandr-lewis"}, + voice={"voice_id": "gandr-ava"}, + ) + assert voice == "gandr-ava" + assert "voice_id" not in mapped + + voice, mapped = config.map_openai_params( + model="gandr/mia", + optional_params={"voice_id": "gandr-lewis"}, + voice=None, + ) + assert voice == "gandr-lewis" + assert mapped["response_format"] == "wav" + + +def test_map_openai_params_drops_unparseable_speed_and_passes_kwargs(): + config = GandrTextToSpeechConfig() + + voice, mapped = config.map_openai_params( + model="gandr/mia", + optional_params={"speed": "fast", "response_format": "mp3", "unused": None}, + voice="gandr-mia", + kwargs={ + "temperature": 0.4, + "model": "should-be-ignored", + "user": "should-be-ignored", + "extra_body": {"ignored": True}, + "metadata": {"ignored": True}, + "empty": None, + }, + ) + + assert voice == "gandr-mia" + assert "speed" not in mapped + assert "unused" not in mapped + assert mapped["response_format"] == "mp3" + assert mapped["temperature"] == 0.4 + for reserved in ("model", "user", "extra_body", "metadata", "empty"): + assert reserved not in mapped + + +def test_validate_environment_uses_server_key_for_default_base(monkeypatch): + monkeypatch.setattr(litellm, "api_key", None) + monkeypatch.setenv("GANDR_API_KEY", "gnd_server_secret") + monkeypatch.delenv("GANDR_API_BASE", raising=False) + config = GandrTextToSpeechConfig() + + headers = config.validate_environment(headers={}, model="gandr/mia") + assert headers["Authorization"] == "Bearer gnd_server_secret" + assert headers["Content-Type"] == "application/json" + + headers = config.validate_environment( + headers={}, model="gandr/mia", api_base="https://tts.gandr.ai/v1/" + ) + assert headers["Authorization"] == "Bearer gnd_server_secret" + + +def test_validate_environment_trusts_operator_api_base(monkeypatch): + monkeypatch.setattr(litellm, "api_key", None) + monkeypatch.setenv("GANDR_API_KEY", "gnd_server_secret") + monkeypatch.setenv("GANDR_API_BASE", "https://tts.internal.example/v1") + config = GandrTextToSpeechConfig() + + headers = config.validate_environment( + headers={}, model="gandr/mia", api_base="https://tts.internal.example/v1" + ) + assert headers["Authorization"] == "Bearer gnd_server_secret" + + with pytest.raises(ValueError, match="caller-supplied api_base"): + config.validate_environment( + headers={}, model="gandr/mia", api_base="https://elsewhere.example/v1" + ) + + +def test_validate_environment_requires_some_key(monkeypatch): + monkeypatch.setattr(litellm, "api_key", None) + monkeypatch.delenv("GANDR_API_KEY", raising=False) + config = GandrTextToSpeechConfig() + + with pytest.raises(ValueError, match="Gandr API key is required"): + config.validate_environment(headers={}, model="gandr/mia") + + +def test_get_error_class_returns_gandr_exception(): + config = GandrTextToSpeechConfig() + + error = config.get_error_class( + error_message="quota exhausted", status_code=402, headers={"x-test": "1"} + ) + + assert isinstance(error, GandrException) + assert error.status_code == 402 + assert "quota exhausted" in str(error) + + +def test_transform_request_merges_extra_body_and_skips_none(): + config = GandrTextToSpeechConfig() + + data = config.transform_text_to_speech_request( + model="tts-1", + input="Order 4471 is ready", + voice="gandr-mia", + optional_params={ + "temperature": 0.3, + "dropped": None, + "extra_body": {"cfg": 0.6, "ignored": None}, + }, + litellm_params={}, + headers={}, + ) + + body = data["dict_body"] + assert body["response_format"] == "wav" + assert body["speed"] == 1.0 + assert body["temperature"] == 0.3 + assert body["cfg"] == 0.6 + assert "dropped" not in body + assert "ignored" not in body + assert "extra_body" not in body + + +def test_transform_response_wraps_binary_content(): + config = GandrTextToSpeechConfig() + raw = httpx.Response(200, content=b"RIFF....WAVE", headers={"Content-Type": "audio/wav"}) + + wrapped = config.transform_text_to_speech_response( + model="gandr/mia", raw_response=raw, logging_obj=MagicMock() + ) + + assert isinstance(wrapped, HttpxBinaryResponseContent) + assert wrapped.content == b"RIFF....WAVE" + + +def test_get_complete_url_honours_operator_base(monkeypatch): + monkeypatch.setenv("GANDR_API_BASE", "https://tts.internal.example/v1/") + config = GandrTextToSpeechConfig() + + assert ( + config.get_complete_url(model="gandr/mia", api_base=None, litellm_params={}) + == "https://tts.internal.example/v1/audio/speech" + ) + + +def test_provider_config_registry_returns_gandr_config(): + config = ProviderConfigManager.get_provider_text_to_speech_config( + model="gandr/mia", provider=litellm.LlmProviders.GANDR + ) + + assert isinstance(config, GandrTextToSpeechConfig) + assert litellm.LlmProviders("gandr") is litellm.LlmProviders.GANDR + + +def test_speech_routes_to_gandr_handler(): + with patch( + "litellm.llms.custom_httpx.llm_http_handler.BaseLLMHTTPHandler.text_to_speech_handler" + ) as mock_tts: + mock_response = MagicMock() + mock_response.status_code = 200 + mock_response.headers = {} + mock_response.content = b"fake wav bytes" + mock_tts.return_value = HttpxBinaryResponseContent(mock_response) + + response = speech( + model="gandr/mia", + voice="gandr-mia", + input="Your order number is 4471.", + api_key="gnd_test_key", + api_base="https://tts.gandr.ai/v1", + response_format="pcm", + ) + + assert mock_tts.called + kwargs = mock_tts.call_args.kwargs + assert kwargs["custom_llm_provider"] == "gandr" + assert kwargs["voice"] == "gandr-mia" + assert kwargs["model"] == "mia" + assert isinstance(kwargs["text_to_speech_provider_config"], GandrTextToSpeechConfig) + assert kwargs["text_to_speech_optional_params"]["response_format"] == "pcm" + assert kwargs["litellm_params"]["api_key"] == "gnd_test_key" + assert kwargs["litellm_params"]["api_base"] == "https://tts.gandr.ai/v1" + assert response.content == b"fake wav bytes" + + +def test_speech_gandr_requires_a_voice(): + with patch( + "litellm.llms.custom_httpx.llm_http_handler.BaseLLMHTTPHandler.text_to_speech_handler" + ) as mock_tts: + # The litellm client wrapper may re-raise inside its own exception + # types; the message is the stable contract. + with pytest.raises(Exception, match="Gandr voice is required"): + speech(model="gandr/mia", input="No voice given", api_key="gnd_test_key") + assert not mock_tts.called From 80a565f243faeb7bf4f8387aa56771a90ab9ecc8 Mon Sep 17 00:00:00 2001 From: Sam Alghaithi Date: Mon, 7 Sep 2026 16:22:32 -0700 Subject: [PATCH 18/21] test(gandr): fake the HTTP boundary with respx instead of patching the handler --- .../llms/gandr/test_gandr_speech_route.py | 94 +++++++++++-------- 1 file changed, 57 insertions(+), 37 deletions(-) diff --git a/tests/test_litellm/llms/gandr/test_gandr_speech_route.py b/tests/test_litellm/llms/gandr/test_gandr_speech_route.py index c8942372d4c..c9e5e3c7ef0 100644 --- a/tests/test_litellm/llms/gandr/test_gandr_speech_route.py +++ b/tests/test_litellm/llms/gandr/test_gandr_speech_route.py @@ -8,10 +8,12 @@ wrapper, the provider config registry and the litellm.speech() route with the HTTP handler mocked. """ -from unittest.mock import MagicMock, patch +import json +from unittest.mock import MagicMock import httpx import pytest +import respx import litellm from litellm import speech @@ -200,43 +202,61 @@ def test_provider_config_registry_returns_gandr_config(): assert litellm.LlmProviders("gandr") is litellm.LlmProviders.GANDR -def test_speech_routes_to_gandr_handler(): - with patch( - "litellm.llms.custom_httpx.llm_http_handler.BaseLLMHTTPHandler.text_to_speech_handler" - ) as mock_tts: - mock_response = MagicMock() - mock_response.status_code = 200 - mock_response.headers = {} - mock_response.content = b"fake wav bytes" - mock_tts.return_value = HttpxBinaryResponseContent(mock_response) - - response = speech( - model="gandr/mia", - voice="gandr-mia", - input="Your order number is 4471.", - api_key="gnd_test_key", - api_base="https://tts.gandr.ai/v1", - response_format="pcm", +def test_speech_routes_to_gandr_endpoint(respx_mock: respx.MockRouter): + route = respx_mock.post("https://tts.gandr.ai/v1/audio/speech").mock( + return_value=httpx.Response( + 200, content=b"fake wav bytes", headers={"Content-Type": "audio/wav"} ) + ) - assert mock_tts.called - kwargs = mock_tts.call_args.kwargs - assert kwargs["custom_llm_provider"] == "gandr" - assert kwargs["voice"] == "gandr-mia" - assert kwargs["model"] == "mia" - assert isinstance(kwargs["text_to_speech_provider_config"], GandrTextToSpeechConfig) - assert kwargs["text_to_speech_optional_params"]["response_format"] == "pcm" - assert kwargs["litellm_params"]["api_key"] == "gnd_test_key" - assert kwargs["litellm_params"]["api_base"] == "https://tts.gandr.ai/v1" - assert response.content == b"fake wav bytes" + response = speech( + model="gandr/mia", + voice="gandr-mia", + input="Your order number is 4471.", + api_key="gnd_test_key", + response_format="wav", + ) + + assert route.called + request = route.calls.last.request + assert request.headers["Authorization"] == "Bearer gnd_test_key" + assert request.headers["Content-Type"] == "application/json" + body = json.loads(request.content) + assert body == { + "input": "Your order number is 4471.", + "model": "mia", + "voice": "gandr-mia", + "response_format": "wav", + "speed": 1.0, + } + assert response.content == b"fake wav bytes" -def test_speech_gandr_requires_a_voice(): - with patch( - "litellm.llms.custom_httpx.llm_http_handler.BaseLLMHTTPHandler.text_to_speech_handler" - ) as mock_tts: - # The litellm client wrapper may re-raise inside its own exception - # types; the message is the stable contract. - with pytest.raises(Exception, match="Gandr voice is required"): - speech(model="gandr/mia", input="No voice given", api_key="gnd_test_key") - assert not mock_tts.called +def test_speech_honours_caller_api_base_with_explicit_key(respx_mock: respx.MockRouter): + route = respx_mock.post("https://staging.example.com/v1/audio/speech").mock( + return_value=httpx.Response(200, content=b"pcm", headers={"Content-Type": "audio/pcm"}) + ) + + response = speech( + model="gandr/mia", + voice="gandr-ava", + input="Hello.", + api_key="gnd_caller_key", + api_base="https://staging.example.com/v1", + response_format="pcm", + ) + + assert route.called + assert route.calls.last.request.headers["Authorization"] == "Bearer gnd_caller_key" + assert json.loads(route.calls.last.request.content)["response_format"] == "pcm" + assert response.content == b"pcm" + + +def test_speech_gandr_requires_a_voice(respx_mock: respx.MockRouter): + route = respx_mock.post("https://tts.gandr.ai/v1/audio/speech") + + # The litellm client wrapper may re-raise inside its own exception + # types; the message is the stable contract. + with pytest.raises(Exception, match="Gandr voice is required"): + speech(model="gandr/mia", input="No voice given", api_key="gnd_test_key") + assert not route.called From d422465b66ed9d40aec8d892d05cb770e9256785 Mon Sep 17 00:00:00 2001 From: Sam Alghaithi Date: Mon, 7 Sep 2026 16:22:33 -0700 Subject: [PATCH 19/21] ui: list Gandr in the Add Model provider fields --- .../provider_create_fields.json | 153 ++++++++++++++++++ 1 file changed, 153 insertions(+) diff --git a/litellm/proxy/public_endpoints/provider_create_fields.json b/litellm/proxy/public_endpoints/provider_create_fields.json index 4652719a23b..98d234dd741 100644 --- a/litellm/proxy/public_endpoints/provider_create_fields.json +++ b/litellm/proxy/public_endpoints/provider_create_fields.json @@ -688,6 +688,13 @@ ], "default_model_placeholder": "gpt-3.5-turbo" }, + { + "provider": "CHATGPT", + "provider_display_name": "ChatGPT Subscription", + "litellm_provider": "chatgpt", + "credential_fields": [], + "default_model_placeholder": "chatgpt/gpt-5.4" + }, { "provider": "CLARIFAI", "provider_display_name": "Clarifai", @@ -986,6 +993,62 @@ ], "default_model_placeholder": "gpt-3.5-turbo" }, + { + "provider": "QwenCloud", + "provider_display_name": "QwenCloud", + "litellm_provider": "qwencloud", + "credential_fields": [ + { + "key": "api_key", + "label": "QwenCloud API Key", + "placeholder": null, + "tooltip": null, + "required": true, + "field_type": "password", + "options": null, + "default_value": null + }, + { + "key": "api_base", + "label": "API Base", + "placeholder": "https://dashscope-intl.aliyuncs.com/compatible-mode/v1", + "tooltip": "The base URL for QwenCloud. Defaults to https://dashscope-intl.aliyuncs.com/compatible-mode/v1 if not specified.", + "required": true, + "field_type": "text", + "options": null, + "default_value": "https://dashscope-intl.aliyuncs.com/compatible-mode/v1" + } + ], + "default_model_placeholder": "gpt-3.5-turbo" + }, + { + "provider": "Qwen_AI_Platform", + "provider_display_name": "Qwen AI Platform", + "litellm_provider": "qwen_ai_platform", + "credential_fields": [ + { + "key": "api_key", + "label": "Qwen AI Platform API Key", + "placeholder": null, + "tooltip": null, + "required": true, + "field_type": "password", + "options": null, + "default_value": null + }, + { + "key": "api_base", + "label": "API Base", + "placeholder": "https://dashscope.aliyuncs.com/compatible-mode/v1", + "tooltip": "The base URL for Qwen AI Platform. Defaults to https://dashscope.aliyuncs.com/compatible-mode/v1 if not specified.", + "required": true, + "field_type": "text", + "options": null, + "default_value": "https://dashscope.aliyuncs.com/compatible-mode/v1" + } + ], + "default_model_placeholder": "gpt-3.5-turbo" + }, { "provider": "Databricks", "provider_display_name": "Databricks", @@ -1318,6 +1381,96 @@ ], "default_model_placeholder": "gpt-3.5-turbo" }, + { + "provider": "Gandr", + "provider_display_name": "Gandr", + "litellm_provider": "gandr", + "credential_fields": [ + { + "key": "api_key", + "label": "API Key", + "placeholder": "gnd_...", + "tooltip": "Gandr API key from https://gandr.ai", + "required": true, + "field_type": "password", + "options": null, + "default_value": null + }, + { + "key": "api_base", + "label": "API Base URL", + "placeholder": "https://tts.gandr.ai/v1", + "tooltip": "Leave at the default unless you route Gandr through your own proxy", + "required": false, + "field_type": "text", + "options": null, + "default_value": "https://tts.gandr.ai/v1" + } + ], + "default_model_placeholder": "gandr/mia" + }, + { + "provider": "GIGACHAT", + "provider_display_name": "GigaChat", + "litellm_provider": "gigachat", + "credential_fields": [ + { + "key": "api_base", + "label": "API Base", + "placeholder": null, + "tooltip": null, + "required": false, + "field_type": "text", + "options": null, + "default_value": null + }, + { + "key": "api_key", + "label": "API Key", + "placeholder": null, + "tooltip": null, + "required": false, + "field_type": "password", + "options": null, + "default_value": null + }, + { + "key": "gigachat_scope", + "label": "Scope", + "placeholder": null, + "tooltip": null, + "required": false, + "field_type": "select", + "options": [ + "GIGACHAT_API_PERS", + "GIGACHAT_API_B2B", + "GIGACHAT_API_CORP" + ], + "default_value": "GIGACHAT_API_PERS" + }, + { + "key": "gigachat_auth_url", + "label": "Auth URL", + "placeholder": null, + "tooltip": null, + "required": false, + "field_type": "text", + "options": null, + "default_value": null + }, + { + "key": "gigachat_access_token", + "label": "Access token", + "placeholder": null, + "tooltip": "Disable OAuth, provide value to authorization.", + "required": false, + "field_type": "password", + "options": null, + "default_value": null + } + ], + "default_model_placeholder": "GigaChat-2" + }, { "provider": "GITHUB", "provider_display_name": "Github", From c3821056cf82db550e749c744564f74067cb06f4 Mon Sep 17 00:00:00 2001 From: Sam Alghaithi Date: Mon, 7 Sep 2026 16:23:21 -0700 Subject: [PATCH 20/21] ui: list Gandr in the Add Model provider fields (rebased on the staging file) From 3ada814b6d59d2d142c861c5f948fafbe9705595 Mon Sep 17 00:00:00 2001 From: Sam Alghaithi Date: Mon, 7 Sep 2026 16:28:49 -0700 Subject: [PATCH 21/21] gandr: carry the mutable-ok markers on the lines the discipline gate scores --- .../llms/gandr/text_to_speech/transformation.py | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/litellm/llms/gandr/text_to_speech/transformation.py b/litellm/llms/gandr/text_to_speech/transformation.py index 75b31702f58..9621623ff30 100644 --- a/litellm/llms/gandr/text_to_speech/transformation.py +++ b/litellm/llms/gandr/text_to_speech/transformation.py @@ -95,11 +95,11 @@ class GandrTextToSpeechConfig(BaseTextToSpeechConfig): unmodified client always gets audio back. """ params: Final = ( - dict(optional_params) if optional_params else {} - ) # mutable-ok: local working copy, keys popped below + dict(optional_params) if optional_params else {} # mutable-ok: local working copy, keys popped below + ) passthrough_kwargs: Final = ( - dict(kwargs) if kwargs is not None else {} - ) # mutable-ok: local working copy, keys popped below + dict(kwargs) if kwargs is not None else {} # mutable-ok: local working copy, keys popped below + ) voice_override: Final = params.pop("voice_id", None) mapped_voice: Final = _resolve_voice(voice) or _as_voice_str(voice_override) @@ -122,9 +122,9 @@ class GandrTextToSpeechConfig(BaseTextToSpeechConfig): except (TypeError, ValueError): params.pop("speed", None) - mapped_params: Final[dict[str, Any]] = { + mapped_params: Final[dict[str, Any]] = { # mutable-ok: returned per the base contract k: v for k, v in params.items() if v is not None - } # mutable-ok: returned per the base contract + } reserved_kwarg_keys: Final = frozenset(all_litellm_params) | frozenset( ( @@ -211,8 +211,8 @@ class GandrTextToSpeechConfig(BaseTextToSpeechConfig): `validate_environment`. """ params: Final = ( - dict(optional_params) if optional_params else {} - ) # mutable-ok: local working copy, keys popped below + dict(optional_params) if optional_params else {} # mutable-ok: local working copy, keys popped below + ) extra_body: Final = params.pop("extra_body", None) request_body: Final[dict[str, Any]] = { # mutable-ok: JSON request body consumed by the HTTP handler