The MiMo-V2.5 series is engineered specifically for intelligent agent scenarios, serving as a versatile architecture that balances general-purpose utility with specialized performance. The flagship Pro variant is built to excel in long-horizon tasks and complex software engineering, demonstrating the ability to autonomously execute professional workflows that involve over a thousand tool calls. By supporting native full-modal capabilities, the model is designed to integrate seamlessly into diverse agent frameworks, providing a robust foundation for applications that require deep reasoning and persistent, multi-step problem solving.

Developed under the leadership of Luo Fuli, the MiMo-V2.5 lineage reflects a rapid iteration cycle focused on high-efficiency performance and agentic autonomy. The model has demonstrated competitive results on benchmarks such as SWE-bench Pro, ClawEval, and GDPVal, positioning it as a strong contender for tasks that demand both precision and scale. With its significant context window, the model is well-suited for modern development environments where it can read entire codebases, iterate on failures, and manage complex dependencies, marking a forward-looking advancement in how AI agents interact with professional software development tools.