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A head-to-head benchmark comparison of Mixtral 8x7B across 14 evaluations.
Today, the team is proud to release Mixtral 8x7B, a high-quality sparse mixture of experts model (SMoE) with open weights. Licensed under Apache 2.0. Mixtral ou.
Full Mixtral 8x7B specs →| Benchmark | Mixtral 8x7B |
|---|---|
| code | |
| HumanEval | 37.2% |
| MBPP | 63.9% |
| coding | |
| EvalPlus | 46.4 |
| MultiPL-E | 39 |
| general | |
| MMLU | 71.8% |
| MMLU-Pro | 41% |
| knowledge | |
| ARC-Challenge | 66 |
| math | |
| GSM8K | 62.5% |
| MATH | 30.8% |
| reasoning | |
| BIG-Bench Hard | 50.3% |
| GPQA Diamond | 29.2% |
| HellaSwag | 86.5 |
| Winogrande | 81.9 |
| safety | |
| TruthfulQA | 51.1% |
Best result per row highlighted in cyan. Each benchmark links to its definition and sources; each model links to its full scorecard.
Mixtral 8x7B has the strongest result on HumanEval among the models compared here. See the code-category rows in the table for the full picture.
This comparison covers 14 benchmarks on which at least one of the selected models has a published score.
Scores are aggregated from official model cards, technical reports and standard public evaluations, and link back to each benchmark's source. They are updated as new results are published.
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