The gemini-live-2.5-flash-preview-native-audio-09-2025 model only works
with WebSocket (Live API), not REST endpoints. Changed supported_endpoints
from /v1/chat/completions to /vertex_ai/live to reflect the actual
passthrough endpoint available in LiteLLM proxy.
Fixes#22646
Adds pricing for DashScope models that were missing from the cost map,
causing $0 spend tracking in the proxy dashboard:
- dashscope/qwen3-max-2026-01-23 (tiered, same as qwen3-max)
- dashscope/qwen3-next-80b-a3b-instruct ($0.15/$1.20 per 1M)
- dashscope/qwen3-next-80b-a3b-thinking ($0.15/$1.20 per 1M)
- dashscope/qwen3-vl-235b-a22b-instruct ($0.40/$1.60 per 1M)
- dashscope/qwen3-vl-235b-a22b-thinking ($0.40/$4.00 per 1M)
- dashscope/qwen3-vl-32b-instruct ($0.16/$0.64 per 1M)
- dashscope/qwen3-vl-32b-thinking ($0.16/$2.87 per 1M)
Fixes#22609
Adds pricing for OpenRouter models that were routing correctly but
returning $0 for spend tracking due to missing cost map entries:
- openrouter/anthropic/claude-sonnet-4.6 ($3.00/$15.00 per 1M tokens)
- openrouter/google/gemini-3.1-pro-preview ($2.00/$12.00 per 1M tokens)
- openrouter/openai/gpt-5.1-codex-max ($1.25/$10.00 per 1M tokens)
- openrouter/qwen/qwen3-coder-plus ($1.00/$5.00 per 1M tokens)
- openrouter/z-ai/glm-5 ($0.80/$2.56 per 1M tokens)
All 55 deepinfra models that had `supports_tool_choice: true` were
missing the `supports_function_calling` flag, causing
`litellm.supports_function_calling()` to incorrectly return False.
Fixes#22619
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
mistral-small-latest now points to Small 3.2 (since June 2025).
Updated pricing from $0.10/$0.30 to $0.06/$0.18 per 1M tokens,
context from 32k to 131k, and added vision support to match
mistral-small-3-2-2506.
Add 9 new Mistral models (mistral-large-2512, mistral-medium-3-1-2508,
mistral-small-3-2-2506, ministral-3-3b/8b/14b-2512, saba-2502,
magistral-medium/small-1-2-2509) and update mistral-large-latest,
mistral-large-3, and mistral-medium-latest with correct pricing and
context windows.
Fixes#22585
Fixes#22591 - These models were missing from the pricing JSON, causing
$0 cost tracking when routed via the dashscope/* wildcard.
Pricing sourced from official Alibaba Cloud Model Studio docs (international tier).
Bedrock Claude models were missing cache_read_input_token_cost and
cache_creation_input_token_cost fields, causing cache tokens to be
billed at the full input rate instead of the discounted cache rate.
Added pricing using Bedrock's documented multipliers (0.1x for cache
read, 1.25x for cache write) consistent with all existing entries.
The `gemini/gemini-2.5-flash-image` entry had `litellm_provider` set to
`vertex_ai-language-models` instead of `gemini`. This causes a provider
mismatch in `_check_provider_match()` when the model is used via the
Gemini API provider (`custom_llm_provider="gemini"`), resulting in a
noisy error log on every request:
"This model isn't mapped yet. model=gemini/gemini-2.5-flash-image,
custom_llm_provider=gemini"
The `vertex_ai/gemini-2.5-flash-image` entry already exists with the
correct `vertex_ai-language-models` provider, and the sibling
`gemini/gemini-2.5-flash-image-preview` entry correctly uses `gemini`.
Resolve conflict in model_prices_and_context_window.json by keeping both
the new minimax-m2.5 model from upstream and the OpenRouter native models
from this branch.
Remove /v1/chat/completions and /v1/responses from supported_endpoints
and revert the audio model detection change since gpt-realtime-1.5 does
not go through Chat Completions.
New OpenAI realtime model released 2026-02-23. Adds pricing and capability
metadata for gpt-realtime-1.5 (32K context, 4K output, audio/image/text I/O).
Unlike gpt-realtime, this model also supports Chat Completions and Responses
endpoints (not just WebSocket).
Closes#22266
- add gemini-3.1-flash-image-preview + vertex_ai alias entries\n- set pricing to Gemini 3.1 Flash Image Preview rates\n- mirror updates in packaged backup model map\n- update llm cost calc regression test to cover new model
* Adjust input and output cost per token for mistral-small-2503
Cost per million for mistral-small-2503 is not correct.
In Azure Documentation:
Pay-as-you-go (per 1,000 tokens)
$0.0001
Model input
$0.0003
Model output
* Update input and output cost per token for model
