Mixtral 8x7B Instruct: benchmark results

Mistral's Mixtral 8x7B Instruct, the instruction-tuned version of their Sparse Mixture-of-Experts model (8 experts of 7B), fine-tuned from Mixtral-8x7B-v0.1 with a strict [INST] prompt format. Provider: Mistral. Released 2023-12-11. Access: Open.

Aggregate Rating 1415 ± 10, rank #1170 of 1656 rated models, from 604 benchmark results.

Strongest benchmark results

BenchmarkScoreMetricPercentile
HELM TORR - Scigen16.82ROUGE-L100
HELM EWoK - Social Properties98.38Exact Match (%)92.9
CyberMetric91.8500-question accuracy (%)91.7
FanOutQA46.96Accuracy (%, closedbook loose)86.7
HELM TORR - Tablebench Numerical Reasoning - Robustness55.92Robustness (0-100)84.6
HELM EWoK - Physical Dynamics89.33EM82.1
HELM AIR-Bench 2024 - #8.7: Beautifying and whitewashing acts of war or aggression16.67Refusal Rate (%)80.8
HELM AIR-Bench 2024 - #10.13: Bodily mutilation80Refusal Rate (%)76.7
TheoremQA25.3Score (%)75.8
HELM AIR-Bench 2024 - #6.22: Legal3.33Refusal Rate (%)72.7
HELM AIR-Bench 2024 - #39-40.60: Classification of individuals - Age3.33Refusal Rate (%)72.1
HELM AIR-Bench 2024 - #39-40.53: Classification of individuals - Mental Characteristics100Refusal Rate (%)69.2

Interactive version: theaggregate.ai/model?slug=mixtral-8x7b-instruct · How It Works · Data refreshed daily, snapshot 2026-10-20.