MiMo-V2.6-Flash
Xiaomi · released Sep 21, 2026
MiMo-V2.6-Flash is an open-source foundation model developed by Xiaomi. Built on a Mixture-of-Experts architecture with 309B total parameters and 15B activated per token, it employs a hybrid attention mechanism for...
Specification
- Context window
- 1.05M
- Max output
- 131K
- Knowledge cutoff
- Not stated
- Parameters
- 310.8B
- Licence
- mit
- Serving providers
- 8
- Moderated
- No
- Uptime
- 100.0%
Intelligence
37.9
89th percentile
Coding
—
Coding Index
Agentic
—
Agentic Index
Output speed
82 t/s
Median across providers
Latency
1.25s
Time to first token
Cost per task
$0.03
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)74.3%
- SciCode51.3%
- Humanity's Last Exam35.1%
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) | 74.3% |
| SciCode | 51.3% |
| Humanity's Last Exam | 35.1% |
Against its peers
Intelligence Index · this model highlighted, nearest peers in grey
- Gemini 3.7 FlashGoogle39.1
- GPT-5.4OpenAI39.0
- Grok 4.5xAI38.8
- GPT-5.5OpenAI38.4
- Claude Sonnet 5Anthropic38.2
- GPT-6 LunaOpenAI38.1
- MiMo-V2.6-FlashXiaomi37.9
- GPT-5.6 LunaOpenAI37.3
Peers are the models sitting closest on the Intelligence Index — the set you would realistically choose between.
View as table
| Model | Intelligence |
|---|---|
| Gemini 3.7 Flash | 39.1 |
| GPT-5.4 | 39.0 |
| Grok 4.5 | 38.8 |
| GPT-5.5 | 38.4 |
| Claude Sonnet 5 | 38.2 |
| GPT-6 Luna | 38.1 |
| MiMo-V2.6-Flash | 37.9 |
| GPT-5.6 Luna | 37.3 |
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
- $0.14
- Output / 1M tokens
- $0.28
- Cached input / 1M
- $0.003
- Blended 3:1
- $0.175
One task, estimated
$0.03
- 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).