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A head-to-head benchmark comparison of Mistral 7B across 14 evaluations.
We introduce Mistral 7B v0.1, a 7-billion-parameter language model engineered for superior performance and efficiency. Mistral 7B outperforms Llama 2 13B across.
Full Mistral 7B specs →| Benchmark | Mistral 7B |
|---|---|
| code | |
| HumanEval | 29.3% |
| MBPP | 51.1% |
| general | |
| C-Eval | 47.4% |
| IFEval | 23.86% |
| MMLU | 64.2% |
| MMLU-Pro | 30.9% |
| knowledge | |
| ARC-Challenge | 59.98 |
| math | |
| GSM8K | 52.2% |
| MATH | 13.1% |
| reasoning | |
| BIG-Bench Hard | 56.1% |
| GPQA Diamond | 24.7% |
| HellaSwag | 83.31 |
| Winogrande | 78.37 |
| safety | |
| TruthfulQA | 42.15% |
Best result per row highlighted in cyan. Each benchmark links to its definition and sources; each model links to its full scorecard.
Mistral 7B 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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