Mistral
availableShows if the model has enough results for an index.Mistral Medium 3.5 128B
Mistral Medium 3.5 128B is a reasoning model from Mistral in the Mistral Medium 3.5 family. 19 benchmarks count toward its score, in 6 categories.
IndexOverall score out of 100.49.8 ±5.2
CoverageShare of the index weight with results.85%
SpeedOutput tokens per second.—
Input / 1MUS dollars per 1M input tokens.$1.5
Output / 1MUS dollars per 1M output tokens.$7.5
ContextMaximum tokens in one request.256K
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
19 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 | 94.2% | 66.4 | — | — | Victor Barres et al. |
| τ³-Bench Tool-Agent-User Evaluation | Agentic | 91.4% | 72.8 | — | — | Sierra Research |
| Software Engineering Benchmark Verified | Coding | 77.6% | 59.8 | — | — | Carlos E. Jimenez et al. |
| Artificial Analysis GPQA Diamond | Knowledge | 74.8% | 45.2 | — | — | Artificial Analysis |
| Artificial Analysis Long Context Reasoning | Reasoning | 69.3% | 56.2 | — | — | Artificial Analysis |
| Artificial Analysis Harvey LAB-AA | Agentic | 69.1% | 43.8 | — | — | Artificial Analysis |
| Artificial Analysis IFBench | Instruction | 68.8% | 58.9 | — | — | Artificial Analysis |
| Artificial Analysis MMMU-Pro | Multimodal | 64.9% | 46.4 | — | — | Artificial Analysis |
| Artificial Analysis Coding Index | Coding | 46.9% | 52.0 | — | — | Artificial Analysis |
| Artificial Analysis SciCode | Coding | 40.2% | 48.7 | — | — | Artificial Analysis |
| Gert Labs Composite Game Benchmark | Agentic | 39.1% | 47.3 | — | — | Gert Labs |
| Artificial Analysis EnterpriseOps-Gym | Agentic | 33.7% | 53.6 | — | — | Artificial Analysis |
| Terminal-Bench Hard | Agentic | 33.3% | — | — | — | Artificial Analysis |
| Artificial Analysis Omniscience Accuracy | Knowledge | 24.7% | 44.4 | — | — | Artificial Analysis |
| Artificial Analysis Intelligence Index | Knowledge | 14.2% | 40.1 | — | — | Artificial Analysis |
| Artificial Analysis Humanity's Last Exam | Knowledge | 13.8% | 39.5 | — | — | Artificial Analysis |
| Artificial Analysis AnalystAgent | Agentic | 12.5% | 50.3 | — | — | Artificial Analysis |
| GDPval-AA normalized | Agentic | 12.4% | 45.1 | — | — | Artificial Analysis |
| Artificial Analysis Agentic Index | Agentic | 9.3% | 44.8 | — | — | Artificial Analysis |
| Critical Physics Tasks | Reasoning | 0.0% | 38.4 | — | — | Artificial Analysis |
19 benchmarks count, from 19 of 20 results. A grey row does not count. Too few models took that benchmark.