MiMo-V2.5-Pro is a large Mixture-of-Experts language model designed for agentic work, complex software engineering, and long-running tasks. Its architecture combines 1.02 trillion total parameters with 42 billion active parameters, using hybrid attention to balance broad model capacity with selective computation. Xiaomi presents it as an advancement over MiMo-V2-Pro, particularly for work that requires sustained reasoning and coordinated task completion.

The model is intended for applications that benefit from very long context and complex tool-oriented workflows, with a reported one-million-token context window. On Xiaomi’s Coding Agent chart, it scores 57.2, improving on MiMo-V2-Pro’s 55.0 and MiMo-V2.5’s 56.1, while remaining close to the reported comparison models. This makes it a practical fit for repository-scale coding, multi-step software tasks, and other agent-driven workflows where continuity across substantial context is important.