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MiniMaxOpen-weight·1000K context·— params

MiniMax M1minimax/minimax-m1

MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference. It leverages a hybrid Mixture-of-Experts (MoE) architecture paired with a custom "lightning attention" mechanism, allowing it...

Pricing across providers

No current verified API pricing is listed. See the official model documentation for availability and billing.

Capabilities

Technical specs

Context
1000K
Max output
40K
Parameters
—
Release
—
Training cutoff
—
License
—

Similar models

Compare with

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  • MiniMax M1 vs DeepSeek V3.1
    Comparison planned — not yet published

Frequently asked

How much does MiniMax M1 cost?+
No current verified API pricing is listed. This does not mean the model is free or that a hosted API is currently available. Check the official model documentation below.
How do I access MiniMax M1 from outside China?+
Availability, account verification and payment methods vary by provider and region. Check the official documentation and the selected provider's access requirements before integrating. A directory listing does not guarantee global API access.
Is MiniMax M1 open-source? Can I fine-tune it?+
MiniMax M1 has published weights. License: see the official repository. Review the linked repository and license for deployment, fine-tuning and commercial-use conditions.
What's the maximum context window for MiniMax M1?+
The model supports up to 1,000,000 tokens of context (input + output). Some hosted versions may impose a smaller limit — check the "Context" column in the pricing matrix for each provider.