FW-MiniMax-M2.5
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About this model
MiniMax M2.5 is a Mixture of Experts (MoE) language model built for state-of-the-art coding, agentic tool use, search, and office work. It was extensively trained with reinforcement learning across hundreds of thousands of real-world environments, enabling it to plan like an architect and generalize across unfamiliar scaffolding and tools. The model delivers significantly faster task completion, improved token efficiency, and exceptional cost-effectiveness, making it well-suited for production-scale agentic applications and complex, multi-step workflows.
Key model capabilities
- State-of-the-art coding across 10+ languages (Go, C, C++, TypeScript, Rust, Kotlin, Python, Java, JavaScript, PHP, and more)
- Agentic tool use with strong generalization across unfamiliar scaffolding
- Deep search and information retrieval
- Office work including Word, PowerPoint, and Excel financial modeling
- Parallel tool calling for faster task completion
- Efficient reasoning with optimized token usage