mistral-7B-forest-v0.1: benchmark results
Provider: Mistral.
Aggregate Rating 1400 ± 33, rank #6086 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - MMLU | 63.69 | Accuracy (%) (5-shot) | 62.5 |
| Open LLM Leaderboard v1 - WinoGrande | 78.06 | Accuracy (%) (5-shot) | 60.4 |
| Open LLM Leaderboard v1 - HellaSwag | 83.13 | Normalized accuracy (%) (10-shot) | 56.2 |
| Open LLM Leaderboard v1 - GSM8K | 35.56 | Accuracy (%) (5-shot) | 51.2 |
| Open LLM Leaderboard v1 - ARC Challenge | 60.58 | Normalized accuracy (%) (25-shot) | 48.4 |
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 43.7 | MC2 (%) (0-shot) | 24.5 |
Interactive version: theaggregate.ai/model?slug=mistral-7b-forest-v0-1 · How It Works · Data refreshed daily, snapshot 2026-11-08.