mimo-v2.5 · Xiaomi
MiMo-V2.5 is a native, fully multimodal large model designed for agent scenarios; it can see, hear, and read, and translate understanding into action. It has over 1 trillion total parameters (42B active parameters), employs an innovative hybrid-attention architecture, and supports an ultra-long 1M context length. Built on a powerful model base, we continuously scale compute across broader agent scenarios, further expanding the agent’s action space and achieving an important generalization from coding to claw.
MiMo-V2.5 is a native, fully multimodal large model designed for agent scenarios; it can see, hear, and read, and translate understanding into action. It has over 1 trillion total parameters (42B active parameters), employs an innovative hybrid-attention architecture, and supports an ultra-long 1M context length. Built on a powerful model base, we continuously scale compute across broader agent scenarios, further expanding the agent’s action space and achieving an important generalization from coding to claw.
MiMo V2.5 has a 1,048,576 token context window.
On AIHubMix, MiMo V2.5 costs $0.155 per million input tokens and $0.31 per million output tokens. Cached input reads are billed at $0.0031 per million tokens.
MiMo V2.5 accepts text, image, video and audio input.
MiMo V2.5 supports web search. Per-protocol parameter support is listed in the capability table on this page.
MiMo V2.5 is available through the AIHubMix unified API. The API is OpenAI-compatible: point your OpenAI SDK at https://aihubmix.com/v1, use your AIHubMix API key, and set the model name to mimo-v2.5 — no other code changes needed.
MiMo V2.5 is developed by Xiaomi. AIHubMix aggregates it alongside models from other providers behind one API and one bill.
MiMo V2.5 was released on April 22, 2026 by Xiaomi.
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Only supports OpenAI-compatible formats.
Use MiMo V2.5 via the AIHubMix unified API — one interface for every major LLM.