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

Contexto
205k tokens
Máx. completion
131,072
Tools
Sí
JSON
Sí
Lanzamiento
2026-03-18

Llámalo desde Geek Hub

El mismo SDK de OpenAI. Cambia el base URL y el id del modelo.

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"}]
  }'
Consigue tu API key

Preguntas frecuentes

¿Qué es 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 corre en el API de Geek Hub (compatible con OpenAI). Id: minimax/minimax-m2.7.
¿MiniMax M2.7 es gratis?
No. El input cuesta $0.327 / 1M tokens y el output $1.3081 / 1M tokens en Geek Hub (markup incluido).
¿Cuál es el contexto de MiniMax M2.7?
MiniMax M2.7 tiene una ventana de 205k tokens. Soporta hasta 131,072 tokens de completion.
¿MiniMax M2.7 soporta tool calling y structured outputs?
MiniMax M2.7 acepta tools y tool_choice para function calling. También soporta structured outputs con un JSON schema en response_format.
¿Cuándo se lanzó MiniMax M2.7?
MiniMax M2.7 se lanzó el 18 de marzo de 2026.

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