Xiaomi
availableShows if the model has enough results for an index.MiMo-V2-Omni
MiMo-V2-Omni is a reasoning model from Xiaomi. 11 benchmarks count toward its score, in 6 categories.
IndexOverall score out of 100.49.1 ±6.4
CoverageShare of the index weight with results.85%
SpeedOutput tokens per second.—
Input / 1MUS dollars per 1M input tokens.N/A
Output / 1MUS dollars per 1M output tokens.N/A
ContextMaximum tokens in one request.262K
EloLMArena rating and rank.1422 (#101)
The index is a score out of 100. The ± range shows how much it can change.
19,414 votes. Elo shows what people prefer. It does not change the score.
CapabilitiesScore per category, out of 100.
Out of 100Results
11 counted| BenchmarkThe test name. | CategoryThe capability that the test measures. | ResultThe score from the publisher. | IndexThis result as a score out of 100. | RunThe settings of the run. | DateDate of the result. | Published byThe source of the result. |
|---|---|---|---|---|---|---|
| τ²-Bench Tool-Agent-User Evaluation | Agentic | 91.2% | 64.3 | — | — | Victor Barres et al. |
| Artificial Analysis GPQA Diamond | Knowledge | 82.8% | 53.4 | — | — | Artificial Analysis |
| Artificial Analysis Long Context Reasoning | Reasoning | 75.0% | 60.1 | — | — | Artificial Analysis |
| Software Engineering Benchmark Verified | Coding | 74.8% | 57.5 | — | — | Carlos E. Jimenez et al. |
| Artificial Analysis MMMU-Pro | Multimodal | 69.9% | 52.5 | — | — | Artificial Analysis |
| Artificial Analysis IFBench | Instruction | 53.5% | 43.4 | — | — | Artificial Analysis |
| Claw-Eval | Agentic | 45.2% | 29.5 | — | — | Bowen Ye et al. |
| Artificial Analysis Intelligence Index | Knowledge | 23.9% | 52.3 | — | — | Artificial Analysis |
| Artificial Analysis Humanity's Last Exam | Knowledge | 22.1% | 48.5 | — | — | Artificial Analysis |
| Artificial Analysis Omniscience Accuracy | Knowledge | 19.3% | 37.7 | — | — | Artificial Analysis |
| Critical Physics Tasks | Reasoning | 1.1% | 40.7 | — | — | Artificial Analysis |
11 benchmarks count, from 11 of 11 results. A grey row does not count. Too few models took that benchmark.