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MiniMax M2.7

Self-evolving agentic MoE with 230B parameters and 10B active per token, open weights.

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About

MiniMax M2.7 launched March 18, 2026 as the point release of the M2 series. It is a sparse mixture-of-experts model with about 230B total parameters and roughly 10B active per token, with a 200K-token context window. MiniMax says an internal version ran over 100 autonomous rounds of scaffold self-optimization, improving about 30% with no human in the loop.

The weights were released on Hugging Face under a modified MIT license whose commercial-use restriction drew community criticism; it is open-weights but not open-source. It scores 56.22% on SWE-Pro and 57.0% on Terminal Bench 2, placing it near closed frontier models on agentic coding tasks.

Specs

Context window

Pricing

Free quota

API access

Weights

Open weights

Released

March 18, 2026

Benchmarks

Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.

Use cases

agentic-codingsoftware-engineeringtool-use

Trust score — 8/10

/10 trustVerified

Scored 8/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 105; Trending score 84/100 from researcher assessment.

More in the minimax-m2 family

Sources