MiniMax M2.1

MiniMax-M2.1 is a lightweight, state-of-the-art large language model optimized for coding, agentic workflows, and modern application development. With only 10 billion activated parameters, it delivers a major jump in real-world capability while maintaining exceptional latency, scalability, and cost efficiency. Compared to its predecessor, M2.1 delivers cleaner, more concise outputs and faster perceived response times. It shows leading multilingual coding performance across major systems and application languages, achieving 49.4% on Multi-SWE-Bench and 72.5% on SWE-Bench Multilingual, and serves as a versatile agent “brain” for IDEs, coding tools, and general-purpose assistance. To avoid degrading this model's performance, MiniMax highly recommends preserving reasoning between turns. Learn more about using reasoning_details to pass back reasoning in our docs.

ChatMiniMax205k tokens$0.327 / $1.3081 · 1M

minimax/minimax-m2.1

Contexto
205k tokens
Máx. completion
131,072
Tools
Sí
JSON
Sí
Lanzamiento
2025-12-23

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-m2.1",
    "messages": [{"role": "user", "content": "Hola"}]
  }'
Consigue tu API key

Preguntas frecuentes

¿Qué es MiniMax M2.1?
MiniMax-M2.1 is a lightweight, state-of-the-art large language model optimized for coding, agentic workflows, and modern application development. With only 10 billion activated parameters, it delivers a major jump in real-world capability while maintaining exceptional latency, scalability, and cost efficiency. Compared to its predecessor, M2.1 delivers cleaner, more concise outputs and faster perceived response times. It shows leading multilingual coding performance across major systems and application languages, achieving 49.4% on Multi-SWE-Bench and 72.5% on SWE-Bench Multilingual, and serves as a versatile agent “brain” for IDEs, coding tools, and general-purpose assistance. To avoid degrading this model's performance, MiniMax highly recommends preserving reasoning between turns. Learn more about using reasoning_details to pass back reasoning in our docs. MiniMax M2.1 corre en el API de Geek Hub (compatible con OpenAI). Id: minimax/minimax-m2.1.
¿MiniMax M2.1 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 M2.1?
MiniMax M2.1 tiene una ventana de 205k tokens. Soporta hasta 131,072 tokens de completion.
¿MiniMax M2.1 soporta tool calling y structured outputs?
MiniMax M2.1 acepta tools y tool_choice para function calling. También soporta structured outputs con un JSON schema en response_format.
¿Cuándo se lanzó MiniMax M2.1?
MiniMax M2.1 se lanzó el 23 de diciembre de 2025.

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