Pro/MiniMaxAI/MiniMax-M2.5

MiniMax-M2.5 is built on a 229B-parameter Mixture-of-Experts architecture, specifically engineered to handle the demands of real-world productivity. The model is designed to function as a capable agent, with a focus on software engineering, autonomous tool use, and office-work workflows. By prioritizing these practical applications, it aims to provide a robust foundation for users who need to plan like a software architect and execute tasks autonomously, positioning itself as a competitive alternative for complex, agentic AI applications.

The model's development involved extensive training through reinforcement learning across more than 200,000 complex environments, which contributes to its proficiency in reasoning and task execution. This training lineage allows it to achieve high performance on benchmarks such as SWE-Bench Verified. Available in both standard and Lightning variants, the model offers flexibility for developers balancing speed and capability. Its design supports scalable agentic workflows, making it a strong candidate for integration into diverse technical environments where efficient, autonomous problem-solving is required.