Glossary · Term

MiniMax-M2

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Definition

A mixture-of-experts model that uses only a small fraction of its parameters per token but competes with frontier systems on agent tasks.

MiniMax's ~230B-parameter fine-grained mixture-of-experts model with ~10B active per token, optimized for agentic workloads via verifiable-reward data pipelines and the Forge training system.

Also called: MiniMax M2, M2, M2.5, M2.7

Mentioned in 2 episodes

  1. 090
    How MiniMax-M2 Bets That Sparsity Plus Verifiable Rewards Can Match Frontier Agents
  2. 047
    When Agent Benchmarks Lie: The Harness Problem in Open-Source AI