MiniMax M2.5

MiniMax-M2.5 is a SOTA large language model designed for real-world productivity. Trained in a diverse range of complex real-world digital working environments, M2.5 builds upon the coding expertise of M2.1 to extend into general office work, reaching fluency in generating and operating Word, Excel, and Powerpoint files, context switching between diverse software environments, and working across different agent and human teams. Scoring 80.2% on SWE-Bench Verified, 51.3% on Multi-SWE-Bench, and 76.3% on BrowseComp, M2.5 is also more token efficient than previous generations, having been trained to optimize its actions and output through planning.

ChatMiniMax205k tokens$0.2943 / $1.1773 · 1M

minimax/minimax-m2.5

Context
205k tokens
Completion cap
128,000
Tools
Yes
JSON
Yes
Released
2026-02-12

Call it from Geek Hub

Same OpenAI SDK. Change the base URL and the model id.

curl https://api.geekhub.mx/v1/chat/completions \
  -H "Authorization: Bearer $GEEKHUB_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "minimax/minimax-m2.5",
    "messages": [{"role": "user", "content": "Hola"}]
  }'
Get an API key

Frequently asked questions

What is MiniMax M2.5?
MiniMax-M2.5 is a SOTA large language model designed for real-world productivity. Trained in a diverse range of complex real-world digital working environments, M2.5 builds upon the coding expertise of M2.1 to extend into general office work, reaching fluency in generating and operating Word, Excel, and Powerpoint files, context switching between diverse software environments, and working across different agent and human teams. Scoring 80.2% on SWE-Bench Verified, 51.3% on Multi-SWE-Bench, and 76.3% on BrowseComp, M2.5 is also more token efficient than previous generations, having been trained to optimize its actions and output through planning. MiniMax M2.5 runs on the Geek Hub API (OpenAI-compatible). Model id: minimax/minimax-m2.5.
Is MiniMax M2.5 free?
No. Input is $0.2943 per 1M tokens and output is $1.1773 per 1M tokens on Geek Hub (markup included).
What is the context length of MiniMax M2.5?
MiniMax M2.5 has a 205k tokens context window. It supports up to 128,000 completion tokens.
Does MiniMax M2.5 support tool calling and structured outputs?
MiniMax M2.5 accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.
When was MiniMax M2.5 released?
MiniMax M2.5 was released on 2026-02-12.

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