Mistral
availableShows if the model has enough results for an index.Mistral Large 2
Mistral Large 2 is a non-reasoning model from Mistral. 11 benchmarks count toward its score, in 5 categories.
IndexOverall score out of 100.27.0 ±8.4
CoverageShare of the index weight with results.65%
SpeedOutput tokens per second.38/s
Input / 1MUS dollars per 1M input tokens.N/A
Output / 1MUS dollars per 1M output tokens.N/A
ContextMaximum tokens in one request.128K
EloLMArena rating and rank.N/A
The index is a score out of 100. The ± range shows how much it can change.
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. |
|---|---|---|---|---|---|---|
| GPQA diamond | Knowledge | 50.2% | 24.6 | — | — | Epoch AI |
| Artificial Analysis GPQA Diamond | Knowledge | 48.6% | 18.4 | — | — | Artificial Analysis |
| MATH level 5 | Math | 47.6% | 22.0 | — | — | Epoch AI |
| Artificial Analysis IFBench | Instruction | 31.2% | 20.8 | — | — | Artificial Analysis |
| τ²-Bench Tool-Agent-User Evaluation | Agentic | 30.7% | 20.9 | — | — | Victor Barres et al. |
| Artificial Analysis Omniscience Accuracy | Knowledge | 19.9% | 38.5 | — | — | Artificial Analysis |
| OTIS Mock AIME 2024-2025 | Math | 8.1% | 16.2 | — | — | Epoch AI |
| Artificial Analysis Intelligence Index | Knowledge | 7.6% | 31.8 | — | — | Artificial Analysis |
| Artificial Analysis Humanity's Last Exam | Knowledge | 3.3% | 28.1 | — | — | Artificial Analysis |
| FrontierMath-2025-02-28-Private | Math | 0.3% | 31.0 | — | — | Epoch AI |
| Critical Physics Tasks | Reasoning | 0.0% | 38.4 | — | — | Artificial Analysis |
11 benchmarks count, from 11 of 11 results. A grey row does not count. Too few models took that benchmark.