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MiniMax-M1
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MiniMax-M1

MiniMax-M1, the world's first open-weight, large-scale hybrid-attention reasoning model.

by MiniMax-AI · GitHub
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large-language-modelsllmminimax-m1Apache-2.0Python
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Build reasoning applications using a large-scale model that understands complex information.

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3.18k3.16k
2026-07-072026-08-31
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📄 About

MiniMax-M1, the world's first open-weight, large-scale hybrid-attention reasoning model.

MiniMax-M1 has 3.2k stars on GitHub. It has been forked 283 times. MiniMax-M1 is written mainly in Python. It has been in active development since 2025. MiniMax-M1 is available under the Apache-2.0 license. Its main topics are large-language-models, llm, minimax-m1, reasoning-models.

Frequently asked questions

What is MiniMax-M1?

MiniMax-M1, the world's first open-weight, large-scale hybrid-attention reasoning model.

Is MiniMax-M1 open source?

MiniMax-M1 is an open-source project. It is released under the Apache-2.0 license.

Is MiniMax-M1 free?

Yes. MiniMax-M1 is free and open source — you can use, modify and self-host it.

What license does MiniMax-M1 use?

MiniMax-M1 is available under the Apache-2.0 license.

What language is MiniMax-M1 written in?

MiniMax-M1 is written mainly in Python.

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