Xiaomi: MiMo-V2-Omni
Analysis Summary
Xiaomi MiMo-V2-Omni is a broad multimodal model accepting text, images, audio, and video, with text output and a 262,144-token context window. It combines strong reasoning with useful instruction-following and long-context results, while tool use and function calling support structured operational workflows.
The model is a good fit for multimedia campaign analysis, creative review, document-heavy assistants, and agents that need to interpret more than text. Strong tool interaction makes it more deployable than a purely conversational model, although coding evidence is less direct than for dedicated programming specialists. Input pricing is manageable, but output pricing is materially higher, so route premium multimodal tasks to it and keep routine copy generation on a cheaper model.
Assessed August 9, 2026
Editorial notes
MiMo-V2-Omni combines strong general reasoning with audio, video, image, and text input, a 262K context, and reliable tool-use signals. Its output pricing is relatively high, so it best serves multimodal and high-value workflows.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
MiMo-V2-Omni combines strong general reasoning with audio, video, image, and text input, a 262K context, and reliable tool-use signals. Its output pricing is relatively high, so it best serves multimodal and high-value workflows.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
35.9 Intelligence Index
How Xiaomi: MiMo-V2-Omni compares
Xiaomi: MiMo-V2-Omni ranks #83 of 420 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 43% 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.
Strongest on content. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →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?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 688 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Xiaomi: MiMo-V2-Omni for the hard ones. Most clients cut their estimate by 60-80%.
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.
