Xiaomi: MiMo-V2-Pro
Analysis Summary
Xiaomi's MiMo-V2-Pro is a text model with a 1M-token context window, tool use, and function calling. The supplied results show strong performance on tool-use and instruction-following measures, with useful long-context results. Its overall intelligence index remains below the strongest general-purpose models, so the large context should not be mistaken for frontier reasoning across every task.
It is a practical candidate for processing large document collections, handling multi-step tool workflows, and building assistants that need to retain substantial context. The data provided does not list vision or other non-text input, limiting its usefulness where media interpretation is central. Pricing is higher than the lowest-cost options in this batch. Consider it where context capacity and reliable tool execution are valuable, and compare output quality and latency on the intended workload before making it a default model.
Assessed September 23, 2026
Editorial notes
MiMo-V2-Pro pairs a 1M-token context with function calling and strong measured tool-use performance, making it useful for long-document and agent workflows despite below-frontier overall reasoning.
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-Pro pairs a 1M-token context with function calling and strong measured tool-use performance, making it useful for long-document and agent workflows despite below-frontier overall reasoning.
Benchmarks
Artificial Analysis data refreshed Nov 9, 2026. Arena ratings from the Oct 28, 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-Pro yet. Until it does, the model sits below tested models on the Coding and AI Agents lists.
Artificial Analysis no longer lists this model, so its indexes are converted from their older scale to stay comparable.
How Xiaomi: MiMo-V2-Pro compares
Xiaomi: MiMo-V2-Pro ranks #75 of 449 AI models we track for overall intelligence. Its 1M-token context window is larger than 95% of the models we list. At $1.00 per million input tokens it is cheaper than 25% 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 | $1.00 | $0.001000 |
| Output | $3.00 | $0.003000 |
What would Xiaomi: MiMo-V2-Pro cost your business?
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Talk to our teamAbout Xiaomi: MiMo-V2-Pro
MiMo-V2-Pro is Xiaomi's flagship foundation model, featuring over 1T total parameters and a 1M context length, deeply optimized for agentic scenarios. It is highly adaptable to general agent frameworks like..
Frequently asked questions about Xiaomi: MiMo-V2-Pro
How much does Xiaomi: MiMo-V2-Pro cost?
Xiaomi: MiMo-V2-Pro costs $1.00 per million input tokens and $3.00 per million output tokens.
What is the context window of Xiaomi: MiMo-V2-Pro?
Xiaomi: MiMo-V2-Pro has a context window of 1,048,576 tokens (1M).
What can Xiaomi: MiMo-V2-Pro do?
Xiaomi: MiMo-V2-Pro supports tool use and function calling.
Who created Xiaomi: MiMo-V2-Pro?
Xiaomi: MiMo-V2-Pro is developed by Xiaomi and was released on March 18, 2026.