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MiniMax M2 / M2.7 / M3

MiniMax (MiniMax AI) · snapshot 2026-11-07

release notes call M2 open-source and open weights; later releases describe the weights as open-source with a non-commercial license

Tier 2 Restricted open-weight

What the publisher claims: open-source, open-weight

The one-liner: Frontier-scale MoE family whose openness tightens release over release, from modified MIT to outright non-commercial.

The six questions

A AccessScore 3 of 3

weights downloadable from Hugging Face and ModelScope for M2, M2.7 and M3

P PermissionScore 1 of 3

M2.7 is non-commercial by license text; M3 imposes branding and notice/authorization duties on commercial use

D DeploymentScore 3 of 3

serves under Transformers, vLLM and SGLang; also on NVIDIA NIM

T TransparencyScore 1 of 3

architecture, parameters, benchmarks and blog posts published; training corpus and recipe withheld

R ReproducibilityScore 1 of 3

cannot rebuild a substantially equivalent model from published material

G Governance & ParticipationScore 1 of 3

MiniMax publishes weights, modeling code, and eval results on Hugging Face with issue trackers open but no development roadmap and no community discussion, so every model decision is made inside the company.

License

Modified MIT (M2); non-commercial MIT-style (M2.7); MiniMax Community License (M3) - verify per release — license source ↗

What is actually released

Why it matters

Shows that open weights can be shipped under a source-available reading of the word open, with the same vendor marking M2 open-source in a README while its own M2.7 LICENSE restricts commercial use.

Sources

Derived from the openness dataset behind But Is It Open? — snapshot 2026-11-07 ↗. Scores are qualitative readings of the cited evidence, not verdicts; tier measures openness, not intelligence.

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