MiMo-V2.5 Is Now Available on DeepInfra

Xiaomi's MiMo-V2.5 is a groundbreaking model that unifies agentic and multimodal capabilities, previously managed by two separate models, into one efficient architecture. It processes text, images, video, and audio, extending its context to 1 million tokens and surpassing its predecessors in agentic and multimodal benchmarks, showcasing significant improvements in tasks like video understanding. The model's architecture, featuring a sparse Mixture-of-Experts design with 310 billion parameters and only 15 billion active per forward pass, ensures economic practicality. A hybrid attention mechanism underpins its 1M-token context window, optimizing performance without sacrificing throughput. Open-sourced under the MIT license, MiMo-V2.5 is available on DeepInfra, offering an OpenAI-compatible API with flexible deployment options and straightforward pricing. The model's consolidation of diverse input handling and agentic task performance into a singular efficient framework positions it as a valuable tool for applications requiring comprehensive perception, reasoning, and action capabilities.

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