Analysis Summary
Xiaomi MiMo-V2-Pro is a high-capability text model built for demanding reasoning and operational use. Its million-token context window supports large codebases, contracts, research sets, and campaign archives, while strong coding-related results, function calling, and very effective tool interaction make it suitable for multi-step workflows.
Design for Online could use it for software engineering, long-document analysis, structured research, and agents that need reliable external actions. Instruction following is strong, though the model lacks the multimodal input available in the Omni version, so visual tasks require a separate component. Pricing is more appropriate for high-stakes work than bulk copy or simple classification. Adopt it where context depth and dependable tool execution justify the premium.
Assessed August 9, 2026
Editorial notes
MiMo-V2-Pro delivers strong reasoning, excellent tool-use reliability, a million-token context, and function calling for complex document and agent workflows. Its premium output pricing makes it better for high-value tasks than routine volume generation.
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DFO Verdict
MiMo-V2-Pro delivers strong reasoning, excellent tool-use reliability, a million-token context, and function calling for complex document and agent workflows. Its premium output pricing makes it better for high-value tasks than routine volume generation.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
41.4 Intelligence Index
How Xiaomi: MiMo-V2-Pro compares
Xiaomi: MiMo-V2-Pro ranks #55 of 425 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 27% 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 business fit. 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 | $1.00 | $0.001000 |
| Output | $3.00 | $0.003000 |
What would Xiaomi: MiMo-V2-Pro 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-Pro for the hard ones. Most clients cut their estimate by 60-80%.
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..
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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.
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 17, 2026 8:38 pm