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.
67 vercel_ai_gateway models were missing capability flags (supports_vision,
supports_function_calling, supports_tool_choice, supports_response_schema).
These capabilities were inferred from the corresponding direct provider entries
for the same models (e.g., vercel_ai_gateway/anthropic/claude-3.5-sonnet now has
the same capabilities as anthropic/claude-3.5-sonnet).
Models fixed include:
- Claude 3/3.5/3.7 (Anthropic)
- GPT-4/5 variants (OpenAI)
- Gemini 2.0/2.5 (Google)
- Grok 3/4 (xAI)
- Mistral/Mixtral variants
- Qwen models
- DeepSeek models
- And more
This ensures consistent capability reporting across providers for the same
underlying models.
Co-authored-by: krauckbot <krauckbot123@gmail.com>
Add moonshot/kimi-k2.5 model with:
- Input cost: $0.60/M tokens (6e-07)
- Output cost: $3.00/M tokens (3e-06)
- Cache read cost: $0.10/M tokens (1e-07)
- 256K context window
- Vision, function calling, tool choice, web search support
Reference: https://huggingface.co/moonshotai/Kimi-K2.5
Note: K2.5 thinking mode is controlled via API parameters, not a separate model ID.
Co-authored-by: krauckbot <krauckbot123@gmail.com>
Fixes#19788
- Add `supported_regions: ["global"]` to Qwen MaaS models in model_prices_and_context_window.json
- Update `get_supported_regions()` to read directly from `model_cost` dict
- Update `get_complete_vertex_url()` to use `get_vertex_region()` for global-only models
- Update `create_vertex_url()` to generate correct URL for global location (without region prefix)
- Add tests for Qwen global endpoint support
Fixes#19754
The gpt-5.2-codex model only supports the responses API, not chat completions.
Updated azure/gpt-5.2-codex and openrouter/openai/gpt-5.2-codex entries to use
mode: "responses" and supported_endpoints: ["/v1/responses"].
Google announced that Gemini 2.0 Flash and Flash Lite models will be discontinued on March 31, 2026. Updated deprecation_date field for all affected model variants across different providers (vertex_ai, gemini, deepinfra, openrouter, vercel_ai_gateway).
Models updated:
- gemini-2.0-flash (added deprecation date)
- gemini-2.0-flash-001 (updated from 2026-02-05)
- gemini-2.0-flash-lite (added deprecation date)
- gemini-2.0-flash-lite-001 (updated from 2026-02-25)
All variants now correctly reflect the March 31, 2026 shutdown date.
* feat: add GMI Cloud provider support
Add GMI Cloud as an OpenAI-compatible provider with:
- Provider configuration in providers.json
- Documentation page with usage examples
- Model pricing for 16 models (Claude, GPT, DeepSeek, Gemini, etc.)
- Sidebar entry for docs navigation
* Add gmi_cloud to provider_endpoints_support.json
Add provider entry to pass CI validation check that ensures all
providers in openai_like/providers.json are documented.
* Fix provider key: gmi_cloud -> gmi
Match the provider key with providers.json
---------
Co-authored-by: Krish Dholakia <krrishdholakia@gmail.com>
Update audio token pricing for gpt-4o-audio-preview and
gpt-4o-audio-preview-2024-10-01 to match OpenAI's official pricing:
- input_cost_per_audio_token: 0.0001 -> 4e-05 ($40/1M tokens)
- output_cost_per_audio_token: 0.0002 -> 8e-05 ($80/1M tokens)
The previous values were 2.5x higher than OpenAI's actual pricing.
