MiniMax-M2: 230B MoE Model Activates Only 10B Parameters for Agentic AI
The MiniMax-M2 series introduces a Mixture-of-Experts language model with 229.9 B total parameters but activates only 9.8 B per token, dramatically cutting compute while maintaining strong performance on agentic coding, search, and reasoning tasks. The architecture combines agent-driven data pipelines, a scalable RL system called Forge, and self‑debugging capabilities.