mimo-v2-pro

by 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.

API Pricing

Input$1.1 / 1M tokens
Output$3.3 / 1M tokens
Cache read$0.22 / 1M tokens

Specifications

Context window1,000,000 tokens
Modalitiestext, image, video, audio
Featuresweb

FAQ

What is mimo-v2-pro?

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.

What is the context length of mimo-v2-pro?

mimo-v2-pro has a 1,000,000 token context window.

How much does mimo-v2-pro cost?

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.

What modalities does mimo-v2-pro support?

mimo-v2-pro accepts text, image, video and audio input.

What features does mimo-v2-pro support?

mimo-v2-pro supports web. Per-protocol parameter support is listed in the capability table on this page.

How do I call mimo-v2-pro via API?

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.

Who develops mimo-v2-pro?

mimo-v2-pro is developed by Xiaomi. AIHubMix aggregates it alongside models from other providers behind one API and one bill.

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Use mimo-v2-pro via the AIHubMix unified API — one interface for every major LLM.