MiniMax M3

MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding, and tool use. It is built on MiniMax Sparse Attention (MSA), which replaces full attention with KV-block selection to cut per-token compute at long context — roughly 1/20 the cost of the previous generation at 1M tokens, with substantially faster prefill and decode while retaining quality across most tasks. Trained as a native multimodal model on interleaved data and tuned for multi-turn, production-like collaboration via an interactive user-simulator framework, the model is oriented toward sustained, multi-step tasks rather than single-turn execution.

ChatMiniMax1M tokens$0.327 / $1.3081 · 1M

minimax/minimax-m3

Contexto
1M tokens
Máx. completion
512,000
Tools
Sí
JSON
Sí
Lanzamiento
2026-05-31

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-m3",
    "messages": [{"role": "user", "content": "Hola"}]
  }'
Consigue tu API key

Preguntas frecuentes

¿Qué es MiniMax M3?
MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding, and tool use. It is built on MiniMax Sparse Attention (MSA), which replaces full attention with KV-block selection to cut per-token compute at long context — roughly 1/20 the cost of the previous generation at 1M tokens, with substantially faster prefill and decode while retaining quality across most tasks. Trained as a native multimodal model on interleaved data and tuned for multi-turn, production-like collaboration via an interactive user-simulator framework, the model is oriented toward sustained, multi-step tasks rather than single-turn execution. MiniMax M3 corre en el API de Geek Hub (compatible con OpenAI). Id: minimax/minimax-m3.
¿MiniMax M3 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 M3?
MiniMax M3 tiene una ventana de 1M tokens. Soporta hasta 512,000 tokens de completion.
¿MiniMax M3 soporta tool calling y structured outputs?
MiniMax M3 acepta tools y tool_choice para function calling. También soporta structured outputs con un JSON schema en response_format.
¿Cuándo se lanzó MiniMax M3?
MiniMax M3 se lanzó el 31 de mayo de 2026.

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