MiniMax M3 (batch)

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.

ChatMiniMax524k tokens$0.327 / $1.3081 · 1M

minimax/minimax-m3:batch

Contexto
524k tokens
Máx. completion
—
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:batch",
    "messages": [{"role": "user", "content": "Hola"}]
  }'
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Preguntas frecuentes

¿Qué es MiniMax M3 (batch)?
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 (batch) corre en el API de Geek Hub (compatible con OpenAI). Id: minimax/minimax-m3:batch.
¿MiniMax M3 (batch) 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 (batch)?
MiniMax M3 (batch) tiene una ventana de 524k tokens.
¿MiniMax M3 (batch) soporta tool calling y structured outputs?
MiniMax M3 (batch) acepta tools y tool_choice para function calling. También soporta structured outputs con un JSON schema en response_format.
¿Cuándo se lanzó MiniMax M3 (batch)?
MiniMax M3 (batch) se lanzó el 31 de mayo de 2026.

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