Xiaomi: MiMo-V2-Omni
Analysis Summary
Xiaomi's MiMo-V2-Omni is a multimodal model accepting text, images, audio, and video, with a 262K context window and support for tool use and function calling. Its supplied results include a strong tool-use measure and useful long-context performance, alongside an overall intelligence index below the leading general-purpose models. Instruction-following results are moderate rather than exceptional.
That combination makes it a candidate for workflows that need to interpret mixed media and then call tools, such as triaging incoming content or extracting information from recordings and visual material. It could also support document-heavy tasks, although the benchmark profile does not establish leading quality for complex reasoning or polished client-facing prose. Pricing is mid-range rather than especially low. Pilot it for multimodal automation where its breadth is useful, and retain human review for high-stakes outputs.
Assessed September 23, 2026
Editorial notes
MiMo-V2-Omni combines image, audio, and video input with tools, function calling, and a 262K context window; its strong tool-use result is offset by modest overall reasoning benchmarks.
The DFO score ranks models on the Artificial Analysis Intelligence Index and is refreshed as new models launch. The write-up and verdict are our own. Feedback?
DFO Verdict
MiMo-V2-Omni combines image, audio, and video input with tools, function calling, and a 262K context window; its strong tool-use result is offset by modest overall reasoning benchmarks.
Benchmarks
Artificial Analysis data refreshed Oct 18, 2026. Arena ratings from the Oct 13, 2026 text leaderboard, with style control. Bars: magenta = reasoning, ink = coding and agents, cyan = instructions and long context.
Artificial Analysis has not published coding or agentic results for Xiaomi: MiMo-V2-Omni yet. Until it does, the model sits below tested models on the Coding and AI Agents lists.
How Xiaomi: MiMo-V2-Omni compares
Xiaomi: MiMo-V2-Omni ranks #99 of 439 AI models we track for overall intelligence. Its 262K-token context window is larger than 74% of the models we list. At $0.40 per million input tokens it is cheaper than 38% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.40 | $0.000400 |
| Output | $2.00 | $0.002000 |
What would Xiaomi: MiMo-V2-Omni cost your business?
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Talk to our teamAbout Xiaomi: MiMo-V2-Omni
MiMo-V2-Omni is a frontier omni-modal model that natively processes image, video, and audio inputs within a unified architecture. It combines strong multimodal perception with agentic capability - visual grounding, multi-step..
Frequently asked questions about Xiaomi: MiMo-V2-Omni
How much does Xiaomi: MiMo-V2-Omni cost?
Xiaomi: MiMo-V2-Omni costs $0.40 per million input tokens and $2.00 per million output tokens.
What is the context window of Xiaomi: MiMo-V2-Omni?
Xiaomi: MiMo-V2-Omni has a context window of 262,144 tokens (262K).
What can Xiaomi: MiMo-V2-Omni do?
Xiaomi: MiMo-V2-Omni supports image/vision input, tool use, and function calling.
Who created Xiaomi: MiMo-V2-Omni?
Xiaomi: MiMo-V2-Omni is developed by Xiaomi and was released on March 18, 2026.