MiMo-V2.6-Pro
mimo-v2.6-proMiMo-V2.6-Pro is the flagship foundation model developed by Xiaomi. Built at a scale of over 1T parameters, it is designed to push the ceiling of capability for the most demanding... Built by Xiaomi.
Prices updated
Input price
$0.43
per 1M tokens · Standard
Output price
$0.87
per 1M tokens · Standard
Input limit
1.1M
tokens
Output limit
131K
tokens
Input formats
Output formats
MiMo-V2.6-Pro price history
2 price records since 9/25/2026
MiMo-V2.6-Pro cost calculator
$13/month
Standard pricing
Overview
What is MiMo-V2.6-Pro?
MiMo-V2.6-Pro is a text & reasoning and vision model from Xiaomi. MiMo-V2.6-Pro is the flagship foundation model developed by Xiaomi. Built at a scale of over 1T parameters, it is designed to push the ceiling of capability for the most demanding... Its 1.1M context window and $0.43 input price make it a candidate for quality-focused production applications.
Benchmarks
MiMo-V2.6-Pro benchmarks & speed
How MiMo-V2.6-Pro scores on standardized evaluations, and where it lands among every model we track.
46.3
Intelligence Index
41tok/s
Output speed
Reasoning
HLE
49.4%
Humanity's Last Exam · top 4%
Coding
SciCode
60.9%
Python for scientific computing · top 4%
Latency & design
- Time to first token
- 4.19s
Independent scores from Artificial Analysis and DesignArena · updated 10/5/2026. Higher is better; ranks compare against every model we track with that score.
Rates
MiMo-V2.6-Pro pricing
Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.
Input · Standard
$0.43
Per 1M tokens
Cached input · Standard
$0.0036
Per 1M tokens
Capabilities
MiMo-V2.6-Pro Tools
Tools available when using MiMo-V2.6-Pro through supported provider APIs.
Function calling
Supported
Structured outputs
Supported
JSON mode
Supported
Reasoning
Supported
Built-in web search
Not supported
Log probabilities
Not supported
Deterministic seed
Supported
Parallel tool calls
Not supported
Prompt caching
Supported
Strengths and limitations
Strengths
- Measured results (AA Intelligence 46.3) position it for demanding production work.
- 1.1M context supports large documents, repositories and extended conversations.
- Supports text & reasoning and vision workloads in one model.
Limitations
- Real-world cost still depends on prompt length, response length and provider-specific billing rules.
- Large context capacity does not guarantee consistent retrieval across the entire prompt.
- Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.
Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.
Same provider