The Xiaomi MiMo-V2.6 series model officially launches on B.AI, a full-modal flagship and efficient dual-end open version

On September 23, the B.AI platform announced that the Xiaomi MiMo-V2.6 series of open-source native multimodal inference large models is fully online, with API and Web Chat both open for experience. This series is equipped with 1M Token ultra-long context and full-dimensional understanding capabilities for text, images, videos, and audio. Among them, the MiMo-V2.6-Pro adopts a sparse MoE architecture with a total of 1.02 trillion parameters and 42 billion active parameters, specifically designed for warehouse-level software engineering, long-cycle agents, and complex multimodal inference.

The MiMo-V2.6-Flash, on the other hand, is based on an architecture with a total of 309 billion parameters and 15 billion active parameters, focusing on high throughput and ultra-fast response, aimed at high-frequency office automation and large-scale agent invocation scenarios. From now on, developers and users can directly call the two models through the B.AI platform.