Mixtral_7Bx2_MoE: benchmark results
Provider: cloudyu. Access: Open.
Aggregate Rating 1449 ± 33, rank #3830 of 10916 rated models, from 12 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - ARC Challenge | 71.25 | Normalized accuracy (%) (25-shot) | 88.6 |
| Open LLM Leaderboard v1 - HellaSwag | 87.45 | Normalized accuracy (%) (10-shot) | 86.2 |
| Open LLM Leaderboard v1 - GSM8K | 68.46 | Accuracy (%) (5-shot) | 85.9 |
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 67.23 | MC2 (%) (0-shot) | 85.6 |
| Open LLM Leaderboard - MuSR | 44.73 | Score | 82 |
| Open LLM Leaderboard v1 - MMLU | 64.98 | Accuracy (%) (5-shot) | 79.7 |
| Open LLM Leaderboard v1 - WinoGrande | 81.22 | Accuracy (%) (5-shot) | 77.8 |
| Open LLM Leaderboard - GPQA | 30.54 | Score | 62.2 |
| Open LLM Leaderboard - BBH | 51.6 | Score | 56.9 |
| Open LLM Leaderboard - IFEval | 44.8 | Score | 49 |
| Open LLM Leaderboard - MMLU-Pro | 30.44 | Score | 37.9 |
| Open LLM Leaderboard - MATH Level 5 | 6.87 | Score | 36.9 |
Interactive version: theaggregate.ai/model?slug=mixtral-7bx2-moe · How It Works · Data refreshed daily, snapshot 2026-11-08.