mistral-7B-forest: benchmark results
Provider: Mistral.
Aggregate Rating 1415 ± 34, rank #5399 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - HellaSwag | 86.26 | Normalized accuracy (%) (10-shot) | 79.8 |
| Open LLM Leaderboard v1 - ARC Challenge | 65.7 | Normalized accuracy (%) (25-shot) | 70.8 |
| Open LLM Leaderboard v1 - WinoGrande | 79.48 | Accuracy (%) (5-shot) | 69.4 |
| Open LLM Leaderboard v1 - MMLU | 63.32 | Accuracy (%) (5-shot) | 59.8 |
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 53.32 | MC2 (%) (0-shot) | 59.2 |
| Open LLM Leaderboard v1 - GSM8K | 32.75 | Accuracy (%) (5-shot) | 49 |
Interactive version: theaggregate.ai/model?slug=mistral-7b-forest · How It Works · Data refreshed daily, snapshot 2026-11-08.