mimo-v2.5

MiMo-V2.5 is Xiaomi's latest native omnimodal model, engineered specifically to bridge the gap between high-end agentic reasoning and production-scale cost efficiency. For developers building autonomous agents or complex multimodal workflows, this model offers a significant shift in the performance-to-cost ratio, delivering Pro-level capabilities at approximately 50% of the typical inference overhead. Unlike models that rely on bolted-on vision encoders, MiMo-V2.5 features a native architecture that enhances its perception of both static images and temporal video data. This makes it particularly effective for real-time visual reasoning, video analysis, and complex tool-use scenarios where context retention is critical. With a massive 1,050,000 token context window, it is designed to handle extensive documentation or long-form video streams without losing coherence. Whether you are integrating via API for mobile ecosystem automation or building sophisticated vision-language applications, MiMo-V2.5 provides a highly scalable alternative to more expensive, heavyweight multimodal models.