Mistral-7B-claude-instruct: benchmark results
Provider: Mistral. Access: Open.
Aggregate Rating 1404 ± 34, rank #5895 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - HellaSwag | 84.99 | Normalized accuracy (%) (10-shot) | 70.7 |
| Open LLM Leaderboard v1 - MMLU | 63.84 | Accuracy (%) (5-shot) | 63.6 |
| Open LLM Leaderboard v1 - ARC Challenge | 63.23 | Normalized accuracy (%) (25-shot) | 61.9 |
| Open LLM Leaderboard v1 - WinoGrande | 78.14 | Accuracy (%) (5-shot) | 60.9 |
| Open LLM Leaderboard v1 - GSM8K | 17.97 | Accuracy (%) (5-shot) | 39.4 |
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 47.47 | MC2 (%) (0-shot) | 37.8 |
Interactive version: theaggregate.ai/model?slug=mistral-7b-claude-instruct · How It Works · Data refreshed daily, snapshot 2026-11-08.