MetaMath-Mistral-2x7B: benchmark results
Provider: Other.
Aggregate Rating 1399 ± 34, rank #6176 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - GSM8K | 69.22 | Accuracy (%) (5-shot) | 88.4 |
| Open LLM Leaderboard v1 - MMLU | 61.87 | Accuracy (%) (5-shot) | 53.1 |
| Open LLM Leaderboard v1 - HellaSwag | 82.59 | Normalized accuracy (%) (10-shot) | 52.6 |
| Open LLM Leaderboard v1 - ARC Challenge | 60.58 | Normalized accuracy (%) (25-shot) | 48.4 |
| Open LLM Leaderboard v1 - WinoGrande | 76.01 | Accuracy (%) (5-shot) | 45.4 |
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 44.8 | MC2 (%) (0-shot) | 28.6 |
Interactive version: theaggregate.ai/model?slug=metamath-mistral-2x7b · How It Works · Data refreshed daily, snapshot 2026-11-08.