MetaMath-Mistral-7B: benchmark results
Provider: Other. Access: Open.
Aggregate Rating 1401 ± 25, rank #6070 of 10916 rated models, from 9 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - GSM8K | 68.84 | Accuracy (%) (5-shot) | 87.1 |
| Science Leaderboard | 40.9 | Average Accuracy (%) | 54.5 |
| Open LLM Leaderboard v1 - MMLU | 61.95 | Accuracy (%) (5-shot) | 53.5 |
| Open LLM Leaderboard v1 - HellaSwag | 82.58 | Normalized accuracy (%) (10-shot) | 52.5 |
| Open LLM Leaderboard v1 - ARC Challenge | 60.67 | Normalized accuracy (%) (25-shot) | 48.9 |
| Open LLM Leaderboard v1 - WinoGrande | 75.77 | Accuracy (%) (5-shot) | 44 |
| TheoremQA | 16.5 | Score (%) | 30.3 |
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 44.89 | MC2 (%) (0-shot) | 28.9 |
| YALL Nous Leaderboard | 47.25 | Average | 19 |
Interactive version: theaggregate.ai/model?slug=metamath-mistral-7b · How It Works · Data refreshed daily, snapshot 2026-11-08.