MiMo-V2.5-Pro serves as a flagship model designed to unify diverse sensory inputs into a single, cohesive architecture. By collapsing previously separate text-only and multimodal capabilities into one package, the model provides native understanding of images, video, and audio alongside its core text processing. This design intent focuses on streamlining workflows, allowing users to perform tasks like analyzing video tutorials, extracting action items from meeting recordings, or generating recipes from photos of ingredients without the need to switch between specialized tools.

Engineered for high-level agentic performance, the model excels in complex software engineering and long-horizon tasks that require autonomous execution. It is capable of managing over a thousand tool calls independently, making it a strong fit for integration with advanced agent frameworks that demand persistent memory and multi-step reasoning. With top-tier rankings on benchmarks such as SWE-bench Pro, ClawEval, and GDPVal, the model is positioned to handle professional-grade workflows that would otherwise require days of human effort, reflecting a significant advancement in its ability to plan and iterate on technical challenges.