mixtral_stack_llama: benchmark results
Provider: Mistral.
Aggregate Rating 1147 ± 35, rank #10008 of 10916 rated models, from 6 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| Open LLM Leaderboard v1 - MMLU | 27.97 | Accuracy (%) (5-shot) | 15.6 |
| Open LLM Leaderboard v1 - ARC Challenge | 34.56 | Normalized accuracy (%) (25-shot) | 12.5 |
| Open LLM Leaderboard v1 - WinoGrande | 57.3 | Accuracy (%) (5-shot) | 10.5 |
| Open LLM Leaderboard v1 - HellaSwag | 50.24 | Normalized accuracy (%) (10-shot) | 10.3 |
| Open LLM Leaderboard v1 - GSM8K | 0.15 | Accuracy (%) (5-shot) | 10.1 |
| Open LLM Leaderboard v1 - TruthfulQA MC2 | 38.22 | MC2 (%) (0-shot) | 7.7 |
Interactive version: theaggregate.ai/model?slug=mixtral-stack-llama · How It Works · Data refreshed daily, snapshot 2026-11-08.