Xiaomi
RankedEnough results for an index.MiMo-V2-Flash
MiMo-V2-Flash is a reasoning model from Xiaomi. 13 benchmarks count toward its index, in 6 categories.
IndexAll categories, out of 100.43.4±6.0Median 51.0
CoverageIndex weight that has results.85%
SpeedOutput tokens per second.129/sMedian 67/s
First tokenSeconds to the first output token.2.1 sMedian 1.3 s
Input / 1MUS dollars per 1M input tokens.—Median $0.60
Output / 1MUS dollars per 1M output tokens.—Median $2.55
ContextMaximum tokens in one request.256KMedian 262K
EloLMArena rating and rank.—Median 1422
Run locally
309.8B parameters- 16-bit
- 651.6 GB
- 8-bit
- 346.6 GB
- 4-bit
- 198.2 GB
Memory need with a short context. The 4-bit copy needs more than 128 GB. Compare local models
Capabilities
Index per category, out of 100.Results
13 countedBenchmarkThe benchmark name.ResultThe score from the source.PlacePlace among results on this benchmark.
Sources
BenchLMCC BY-NC 4.0Vals AINo licence statedHistory
5 releases23 Oct 202612 Nov 2026
Questions
- How good is MiMo-V2-Flash?
- Its index is 43.4 out of 100. That is place 189 of 283 ranked models.
- What is MiMo-V2-Flash best at?
- Coding: 53.0 out of 100, place 119 of 209.
- How fast is MiMo-V2-Flash?
- 129 output tokens per second, 2.1 s to the first token.
- What is the context window of MiMo-V2-Flash?
- 256K tokens.
- Is MiMo-V2-Flash open source?
- Yes. Its weights are published.
- When was MiMo-V2-Flash released?
- March 2026.
Badge
- HTML
<a href="https://inference360.ai/models/mimo-v2-flash"><img src="https://inference360.ai/badges/mimo-v2-flash.svg" alt="MiMo-V2-Flash on Inference360: place 189 of 283, index 43.4" height="20"></a>- Markdown
[](https://inference360.ai/models/mimo-v2-flash)