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MMiniMax M2.7OPEN

MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement.

205KContext window · tokens
$0.3Input price · per M tokens
$1.2Output price · per M tokens
MiniMaxProvider

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Benchmarks & performance

Independent benchmark scores for MiniMax M2.7, measured by Artificial Analysis. Higher is better.

Coding index52.6
GPQA87.4%
Humanity's Last Exam29.6%
Long Context Reasoning78.3%
SciCode50.1%
IFBench75.7%
τ²-Bench84.8%
τ-Bench Banking9.9%
Terminal-Bench55.4%
Terminal-Bench Hard39.4%
💰 Blended price$0.525 / 1M tokens
Benchmark data by Artificial Analysis

About this model

MiniMax M2.7 is an open-weight AI model by MiniMax. You can download and self-host it for free; the prices below are hosted-API list prices, tracked daily, for when you prefer convenience over self-hosting.

Frequently asked questions

What is MiniMax M2.7?

MiniMax M2.7 is an AI language model from MiniMax. It is open-weight: you can download it and run it on your own hardware, for free.

Is MiniMax M2.7 free?

The weights are free and open — you can self-host MiniMax M2.7 and pay nothing per token. If you prefer a hosted API, list prices are $0.3 per million input tokens and $1.2 per million output tokens.

What is MiniMax M2.7 good at?

Independent benchmarks from Artificial Analysis give it GPQA 87.4%, Humanity's Last Exam 29.6%, Long Context Reasoning 78.3%, SciCode 50.1%, IFBench 75.7%, τ²-Bench 84.8%, τ-Bench Banking 9.9%, Terminal-Bench 55.4%, Terminal-Bench Hard 39.4%. It is particularly used for code generation.

Can I self-host MiniMax M2.7?

Yes. MiniMax M2.7 has open weights, so you can download it and run it on your own GPU or server with tools like Ollama, vLLM or llama.cpp — with no per-token cost.

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