Mistral-7B-Instruct-v0.2_openchat-3.5-0106: benchmark results
Provider: Eric111. Access: Open.
Aggregate Rating 1422 ± 33, rank #5094 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 58.89 | MC2 (%) (0-shot) | 72.8 |
| Open LLM Leaderboard v1 - ARC Challenge | 65.7 | Normalized accuracy (%) (25-shot) | 70.8 |
| Open LLM Leaderboard v1 - WinoGrande | 79.32 | Accuracy (%) (5-shot) | 68.6 |
| Open LLM Leaderboard v1 - HellaSwag | 84.58 | Normalized accuracy (%) (10-shot) | 67 |
| Open LLM Leaderboard v1 - GSM8K | 54.06 | Accuracy (%) (5-shot) | 65.7 |
| Open LLM Leaderboard v1 - MMLU | 63.23 | Accuracy (%) (5-shot) | 59.2 |
Interactive version: theaggregate.ai/model?slug=mistral-7b-instruct-v0-2-openchat-3-5-0106 · How It Works · Data refreshed daily, snapshot 2026-11-08.