MiMo-V2.6-Pro
Xiaomi · released Sep 21, 2026
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...
Specification
- Context window
- 1.05M
- Max output
- 131K
- Knowledge cutoff
- Not stated
- Parameters
- 1024.2B
- Licence
- mit
- Serving providers
- 4
- Moderated
- No
- Uptime
- 100.0%
Intelligence
46.3
95th percentile
Coding
—
Coding Index
Agentic
—
Agentic Index
Output speed
39 t/s
Median across providers
Latency
805ms
Time to first token
Cost per task
$0.09
Estimated
Benchmarks
Where the score comes from
The Intelligence Index is a composite. These are the underlying evaluations this model was actually measured on.
Evaluation scores
Percentage correct · higher is better
- AA-LCR (long context)86.3%
- SciCode60.9%
- Humanity's Last Exam49.4%
An evaluation missing from this list was not run for this model — it is not a zero.
View as table
| Evaluation | Score |
|---|---|
| AA-LCR (long context) | 86.3% |
| SciCode | 60.9% |
| Humanity's Last Exam | 49.4% |
Against its peers
Intelligence Index · this model highlighted, nearest peers in grey
- Muse Spark 1.3Meta48.1
- GPT-6 SolOpenAI47.6
- GPT-5.6 SolOpenAI47.0
- Grok 4.7xAI46.4
- MiMo-V2.6-ProXiaomi46.3
- 45.4
- GLM 5.3Z.ai44.8
- Grok 4.6xAI44.3
Peers are the models sitting closest on the Intelligence Index — the set you would realistically choose between.
View as table
| Model | Intelligence |
|---|---|
| Muse Spark 1.3 | 48.1 |
| GPT-6 Sol | 47.6 |
| GPT-5.6 Sol | 47.0 |
| Grok 4.7 | 46.4 |
| MiMo-V2.6-Pro | 46.3 |
| Qwen3.8 Max (0902) | 45.4 |
| GLM 5.3 | 44.8 |
| Grok 4.6 | 44.3 |
Percentile among all indexed models
Pricing
What it costs to run
List prices per million tokens, plus what one representative task works out to.
List price
- Input / 1M tokens
- $0.435
- Output / 1M tokens
- $0.87
- Cached input / 1M
- $0.004
- Blended 3:1
- $0.544
One task, estimated
$0.09
- Input tokens
- 50,000
- Output tokens
- 80,000
- Profile
- Reasoning
Estimated from list pricing: 50K input tokens plus 80K output tokens for reasoning models (25K for non-reasoning).