mimo-v2-pro · Xiaomi
Xiaomi MiMo-V2-Pro is built for high-intensity agent work scenarios in the real world. It has over 1 trillion total parameters (42B active parameters), employs an innovative hybrid-attention architecture, and supports an ultra-long 1M-token context length. On top of a powerful model foundation, we continuously scale compute across broader agent scenarios, further expanding the intelligent action space and achieving significant generalization from Coding to Claw.
Xiaomi MiMo-V2-Pro is built for high-intensity agent work scenarios in the real world. It has over 1 trillion total parameters (42B active parameters), employs an innovative hybrid-attention architecture, and supports an ultra-long 1M-token context length. On top of a powerful model foundation, we continuously scale compute across broader agent scenarios, further expanding the intelligent action space and achieving significant generalization from Coding to Claw.
MiMo V2 Pro has a 1,000,000 token context window.
On AIHubMix, MiMo V2 Pro costs $1.1 per million input tokens and $3.3 per million output tokens. Cached input reads are billed at $0.22 per million tokens.
MiMo V2 Pro accepts text, image, video and audio input.
MiMo V2 Pro supports web search. Per-protocol parameter support is listed in the capability table on this page.
MiMo V2 Pro 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-pro — no other code changes needed.
MiMo V2 Pro is developed by Xiaomi. AIHubMix aggregates it alongside models from other providers behind one API and one bill.
MiMo-V2.5 is a native, fully multimodal large model designed for agent scenarios; it can…
MiMo-V2.5-Pro is Xiaomi's most powerful model to date. In areas such as general agent…
Only supports OpenAI-compatible formats.
Only supports OpenAI-compatible formats.
Only supports OpenAI-compatible formats.
Only supports OpenAI-compatible formats.
Use MiMo V2 Pro via the AIHubMix unified API — one interface for every major LLM.