Mixtral_13Bx2_MOE_22B: benchmark results
Provider: cloudyu. Access: Open.
Aggregate Rating 1363 ± 34, rank #7348 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - HellaSwag | 83.29 | Normalized accuracy (%) (10-shot) | 57.6 |
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 52.1 | MC2 (%) (0-shot) | 54.6 |
| Open LLM Leaderboard v1 - ARC Challenge | 59.98 | Normalized accuracy (%) (25-shot) | 45.8 |
| Open LLM Leaderboard v1 - WinoGrande | 75.37 | Accuracy (%) (5-shot) | 41.8 |
| Open LLM Leaderboard v1 - MMLU | 56.26 | Accuracy (%) (5-shot) | 38.7 |
| Open LLM Leaderboard v1 - GSM8K | 14.48 | Accuracy (%) (5-shot) | 36.4 |
Interactive version: theaggregate.ai/model?slug=mixtral-13bx2-moe-22b · How It Works · Data refreshed daily, snapshot 2026-11-08.