docs: upgrade MiniMax default model to M3#1795
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- Add MiniMax-M3 to model list and set as default - Keep MiniMax-M2.7 and MiniMax-M2.7-highspeed - Remove older models (M2.5/M2.5-highspeed) - Update related documentation
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Summary
Upgrade MiniMax model configuration in the docs to use M3 as the default model.
Changes
MiniMax-M3to the documented model list and set as default in env-var examples (FAST_LLM/SMART_LLM/STRATEGIC_LLM)MiniMax-M2.7andMiniMax-M2.7-highspeedas alternativesMiniMax-M2.5/MiniMax-M2.5-highspeed)Why
MiniMax-M3 is the latest model, with a 512K context window, up to 128K output, and image input support. It is a drop-in replacement for the existing OpenAI-compatible client wiring already in place in
gpt_researcher/llm_provider/generic/base.pyandgpt_researcher/memory/embeddings.py— no code changes are needed since model IDs are passed via env vars.Testing
MiniMax-M2.5/MiniMax-M2.7model IDs