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

Context
524k tokens
Completion cap
—
Tools
Yes
JSON
Yes
Released
2026-05-31

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-m3:batch",
    "messages": [{"role": "user", "content": "Hola"}]
  }'
Get an API key

Frequently asked questions

What is 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) runs on the Geek Hub API (OpenAI-compatible). Model id: minimax/minimax-m3:batch.
Is MiniMax M3 (batch) 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 M3 (batch)?
MiniMax M3 (batch) has a 524k tokens context window.
Does MiniMax M3 (batch) support tool calling and structured outputs?
MiniMax M3 (batch) accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.
When was MiniMax M3 (batch) released?
MiniMax M3 (batch) was released on 2026-05-31.

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