feat: upgrade MiniMax default model to M3 - #2245
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Add MiniMax as a new LLM provider. MiniMax provides OpenAI-compatible API with models supporting up to 204K context window. Changes: - config.py: Add MINIMAX_API_KEY configuration - bridge_all.py: Register minimax-m2.5 and minimax-m2.5-highspeed models using the standard OpenAI-compatible template - README.md: Add MiniMax to supported models list - docs/models/overview.md: Add MiniMax to model overview table
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- Add MiniMax-M2.7 and MiniMax-M2.7-highspeed to model list - Place M2.7 models before M2.5 models in all listings - Keep all previous models (M2.5, M2.5-highspeed) as alternatives - Update config docs and model overview
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- Add MiniMax-M3 to the model list and set as default - Keep MiniMax-M2.7 and MiniMax-M2.7-highspeed as alternatives - Remove older models (M2.5, M2.5-highspeed) - Update config docs and model overview - M3 has 512K context window with image input support
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Summary
Upgrade MiniMax model configuration to use M3 as the default model.
Changes
MiniMax-M3to the model selection list and set as defaultrequest_llms/bridge_all.py,config.py,docs/models/overview.md)MiniMax-M2.7andMiniMax-M2.7-highspeedas available alternativesminimax-m2.5,minimax-m2.5-highspeed)Why
MiniMax-M3is the latest flagship model with a 512K context window, up to 128K output, and image input support, providing significantly better performance and longer context than M2.7.Pricing (M3, ≤512K context)
Testing
request_llms/bridge_all.pyandconfig.py["minimax-m3", "minimax-m2.7", "minimax-m2.7-highspeed"]API Documentation