MiniMax M2

About the Model

MiniMax M2 is an expert-level Mixture-of-Experts (MoE) model built from the ground up for the "Agent Universe." It is famous for introducing Interleaved Thinking, where it natively uses <think> tags to separate its internal planning from its final output. It is highly optimized for "Agentic loops"—tasks where the model must search, act, and reason repeatedly to solve a problem.

Model Key Capabilities

• Forge RL Framework:

  Trained via massive reinforcement learning in 200,000+ complex environments.

  
  

• Interleaved Thinking:

  Maintains a coherent "state" across multi-turn tool interactions, reducing logic drift.

  
  

• Visual Agentic Logic:

  Can "see" UI screenshots and translate them into executable code or navigation steps.

  
  

• Office Mastery:

  Native capability to generate and edit high-fidelity Word, PPT, and Excel files.

Applications & Use Cases

• Autonomous Office Assistants:

  Building complex financial models in Excel or strategy decks in PowerPoint.

  
  

• Full-Stack Web Development:

  Writing 1,000+ line TypeScript files with a 80%+ "first-run" pass rate.

  
  

• Strategy Consulting:

  Synthesizing massive market datasets into professional presentations.