Analysis Summary
Xiaomi's MiMo-V2.5 combines strong coding benchmark results with broad multimodal input support spanning text, image, audio, and video, plus a 1,050,000 token context window and full tool use and function calling. Agentic reliability is more modest than its coding score.
This breadth makes it useful for coding assistance combined with multimodal document or media review, such as analysing video transcripts alongside code or mixed-format reports. It is less suited to long autonomous agent chains.
At roughly a quarter of the price of its Pro sibling, it offers strong value for coding and multimodal tasks where budget efficiency matters.
Assessed July 25, 2026
Editorial notes
MiMo-V2.5 pairs strong coding performance with vision, audio, and video input support and a 1M token context, at a low price point.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
MiMo-V2.5 pairs strong coding performance with vision, audio, and video input support and a 1M token context, at a low price point.
How Xiaomi: MiMo-V2.5 compares
Xiaomi: MiMo-V2.5 ranks #53 of 398 AI models we track for overall intelligence, #30 of 173 for coding, #57 of 154 for agentic tasks. Its 1.1M-token context window is larger than 98% of the models we list. At $0.14 per million input tokens it is cheaper than 61% 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 value. The pulled-in intelligence 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 | $0.14 | $0.000140 |
| Output | $0.28 | $0.000280 |
What would Xiaomi: MiMo-V2.5 cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
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These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Xiaomi: MiMo-V2.5 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Xiaomi: MiMo-V2.5
MiMo-V2.5 is a native omnimodal model by Xiaomi. It delivers Pro-level agentic performance at roughly half the inference cost, while surpassing MiMo-V2-Omni in multimodal perception across image and video understanding..
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Frequently asked questions about Xiaomi: MiMo-V2.5
How much does Xiaomi: MiMo-V2.5 cost?
Xiaomi: MiMo-V2.5 costs $0.14 per million input tokens and $0.28 per million output tokens.
What is the context window of Xiaomi: MiMo-V2.5?
Xiaomi: MiMo-V2.5 has a context window of 1,050,000 tokens (1.1M).
Is Xiaomi: MiMo-V2.5 good for coding?
On our coding benchmark index, Xiaomi: MiMo-V2.5 ranks #30 of 173 models, placing it in the top quartile of the field for code generation and debugging.
What can Xiaomi: MiMo-V2.5 do?
Xiaomi: MiMo-V2.5 supports image/vision input, tool use, and function calling.
Who created Xiaomi: MiMo-V2.5?
Xiaomi: MiMo-V2.5 is developed by Xiaomi and was released on April 22, 2026.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: August 5, 2026 8:38 pm