MiMo-V2.5-Pro serves as a flagship model within the mimo family, engineered to consolidate diverse sensory inputs into a single, cohesive architecture. By integrating native support for image, video, and audio processing alongside text, the model eliminates the need for fragmented toolsets, allowing users to perform tasks like summarizing video tutorials or extracting action items from meeting recordings directly. Its design intent centers on high-level agentic performance, making it a robust choice for complex software engineering and long-horizon tasks that require persistent, autonomous operation.

Built to handle demanding professional environments, the model demonstrates significant proficiency in benchmarks such as ClawEval, GDPVal, and SWE-bench Pro. It is optimized for deep integration with agent frameworks, supporting extensive sequences that can involve over a thousand individual tool calls. By leveraging its large context window, the model excels at reading entire codebases to plan and execute multi-file changes, positioning it as a capable alternative for developers and automated systems that require reliable, self-correcting reasoning across extended sessions.