* fix(model-pricing): add missing fireworks_ai model pricing for glm-4p7, minimax-m2p1, kimi-k2p5
Fireworks AI models called via short-form (fireworks_ai/<model>) were
reporting $0.00 cost because the pricing JSON lacked short-form entries.
The lookup fell through to the fireworks-ai-default bucket which has
zero cost.
Added 5 new entries to model_prices_and_context_window.json:
- fireworks_ai/accounts/fireworks/models/glm-4p7 (new long-form)
- fireworks_ai/accounts/fireworks/models/minimax-m2p1 (new long-form)
- fireworks_ai/glm-4p7 (new short-form)
- fireworks_ai/minimax-m2p1 (new short-form)
- fireworks_ai/kimi-k2p5 (new short-form; long-form already existed)
Pricing sourced from fireworks.ai model pages and pricing page.
* add cache_read_input_token_cost to kimi-k2p5 long-form entry for consistency
- labs-devstral-small-2512 supports devstral-small-latest
- devstral-2512 supports devstral-latest and devstral-medium-latest
The information is available in the models page (source field). Have
checked the prices and they match.
Other mistral models (codestral, magistral, ...) already have
the aliases in the database.
Final note: I've created #21328 to propose the creation of some
support for these aliasing cases. To have to dupe the entries is
prone to errors and hard to maintain, when there are model version
bumps.
* add Claude Sonnet 4.6 pricing across all platforms
* fix: correct Bedrock model names and add to BEDROCK_CONVERSE_MODELS
- Remove -v1 suffix from Bedrock Sonnet 4.6 entries per official docs
- Add anthropic.claude-sonnet-4-6 to BEDROCK_CONVERSE_MODELS
* fix: address Greptile and maintainer review feedback
- Update max_output_tokens from 8192 to 64000 (docs confirm 64K limit)
- Add search_context_cost_per_query to vertex_ai/claude-sonnet-4-6 for consistency
- Add vertex_ai/claude-sonnet-4-6@default variant per Vertex AI naming convention
Add missing GitHub Copilot model entries for gpt-5.3-codex (GA) and
claude-opus-4.6-fast (Public Preview) to both the root and backup
model pricing JSON files.
* fix(model_cost): add missing supports_system_messages and supports_tool_choice to bedrock/moonshotai.kimi-k2.5
* fix(streaming): ensure role=assistant is set on first streaming chunk via strip_role_from_delta
* fix(vertex_ai): ensure role=assistant on first streaming chunk for Llama models
Add VertexAILlama3StreamingHandler that injects role='assistant' into the
first streaming chunk delta when the Vertex AI Llama API omits it.
* feat(bedrock): add DeepSeek V3.2 pricing and region support
* feat(bedrock): add minimax.minimax-m2.1 pricing and region support
* feat(bedrock): add moonshotai.kimi-k2.5 pricing and region support
* feat(bedrock): add qwen.qwen3-coder-next
pricing and region support
* add some sanity unit tests for the bedrock beta models added
* --amend
* resolve greptileai comments and suggestions
Commit 1cdda28b6 changed "openrouter/openai/gpt-5.2-codex" to mode "responses",
but this broke GPT-5.2-Codex with OpenRouter:
```
response = await litellm.acompletion(
model="openrouter/openai/gpt-5.2-codex",
messages=[{"role": "user", "content": "Hello"}],
api_key=os.environ.get("OPENROUTER_API_KEY"),
)
```
crashes with: `OpenrouterException - argument of type 'NoneType' is not iterable`
Responses API is in beta in OpenRouter and no other OpenRouter models use "responses"
mode. The commit that changed this probably did it by mistake.
Therefore change the mode to "chat" and fix the crash.
The provider-prefixed entries (deepseek/deepseek-chat, deepseek/deepseek-reasoner)
in the model cost map were missing supports_response_schema, supports_system_messages,
supports_native_streaming, supports_parallel_function_calling, and had stale
max_input_tokens / max_output_tokens values. This caused supports_response_schema()
to return False for DeepSeek models regardless of calling convention.
Changes:
- Sync deepseek/deepseek-chat and deepseek/deepseek-reasoner entries with
their canonical bare-name counterparts in both JSON files
- Add a bare-model-name fallback in _supports_factory so that when a
provider-prefixed entry is missing a capability field, the bare model
entry is consulted before returning False
- Fix pre-existing unused-import lint error (F401) in policy_resolve_endpoints.py
- Add 14 regression tests covering data consistency, API-level correctness,
and the new fallback logic
Add support for Alibaba Cloud's Qwen3-Max model with:
- 258K input tokens, 65K output tokens
- Tiered pricing based on context window usage (0-32K, 32K-128K, 128K-252K)
- Function calling and tool choice support
- Reasoning capabilities enabled
Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
Remove incorrect `:0` suffix from regional Bedrock model identifiers:
- us.anthropic.claude-opus-4-6-v1:0 → us.anthropic.claude-opus-4-6-v1
- au.anthropic.claude-opus-4-6-v1:0 (duplicate removed)
The `:0` suffix is invalid for Bedrock inference profile ARNs and causes
"The provided model identifier is invalid" errors when calling the model.
Fixes#20562
Notes: General support for Opus 4.6 was added in #20506 however
it omitted the AU (australian) specific instance profile used
in Bedrock. This change only adds the the au id. It is copied
from the US model settings which is consistent with past
additions of this regional model profile.
Unify follow-up fixes for Opus 4.6 pricing and routing metadata into
a single changeset.
Set long-context-capable Opus 4.6 entries to 1M input tokens where
>200K pricing is defined, align alias and dated capability metadata,
and add Bedrock Converse v1 IDs with and without :0 suffixes.
Keep regional endpoint pricing at a 10% premium over global entries
and mirror all cost-map changes in the backup file used for local
loading and offline fallback behavior.
Extend Opus 4.6 regression tests to verify metadata parity, Bedrock
regional pricing parity across :0 and non-:0 IDs, and converse model
registration in constants and runtime model sets.
* [Feat] add ElevenLabs `eleven_v3` and `eleven_multilingual_v2` to model cost map
Register ElevenLabs TTS models for cost tracking:
- elevenlabs/eleven_v3: most expressive model, 70+ languages, audio tags
- elevenlabs/eleven_multilingual_v2: default TTS model, 29 languages
Also update ElevenLabs docs with supported models table and eleven_v3 audio tags example.
* docs: remove model-agnostic tip from ElevenLabs docs
Add Claude Opus 4.6 entries for Anthropic, Bedrock Converse, and Vertex AI.
Align pricing and capability metadata with Anthropic docs, including
long-context rates, above-200k prompt-caching rates, prefill removal,
and tool-use system prompt token counts.
Register the Bedrock Converse model ID in constants and add targeted
tests to validate model map values and converse registration.
