MiniMax M2.7

MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement. Built to actively participate in its own evolution, M2.7 integrates advanced agentic capabilities through multi-agent collaboration, enabling it to plan, execute, and refine complex tasks across dynamic environments. Trained for production-grade performance, M2.7 handles workflows such as live debugging, root cause analysis, financial modeling, and full document generation across Word, Excel, and PowerPoint. It delivers strong results on benchmarks including 56.2% on SWE-Pro and 57.0% on Terminal Bench 2, while achieving a 1495 ELO on GDPval-AA, setting a new standard for multi-agent systems operating in real-world digital workflows.

ChatMiniMax205k tokens$0.327 / $1.3081 · 1M

minimax/minimax-m2.7

Context
205k tokens
Completion cap
131,072
Tools
Yes
JSON
Yes
Released
2026-03-18

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-m2.7",
    "messages": [{"role": "user", "content": "Hola"}]
  }'
Get an API key

Frequently asked questions

What is MiniMax M2.7?
MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement. Built to actively participate in its own evolution, M2.7 integrates advanced agentic capabilities through multi-agent collaboration, enabling it to plan, execute, and refine complex tasks across dynamic environments. Trained for production-grade performance, M2.7 handles workflows such as live debugging, root cause analysis, financial modeling, and full document generation across Word, Excel, and PowerPoint. It delivers strong results on benchmarks including 56.2% on SWE-Pro and 57.0% on Terminal Bench 2, while achieving a 1495 ELO on GDPval-AA, setting a new standard for multi-agent systems operating in real-world digital workflows. MiniMax M2.7 runs on the Geek Hub API (OpenAI-compatible). Model id: minimax/minimax-m2.7.
Is MiniMax M2.7 free?
No. Input is $0.327 per 1M tokens and output is $1.3081 per 1M tokens on Geek Hub (markup included).
What is the context length of MiniMax M2.7?
MiniMax M2.7 has a 205k tokens context window. It supports up to 131,072 completion tokens.
Does MiniMax M2.7 support tool calling and structured outputs?
MiniMax M2.7 accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.
When was MiniMax M2.7 released?
MiniMax M2.7 was released on 2026-03-18.

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