LLaMA-65B (Instruct): benchmark results

Provider: Meta. Access: Open.

Aggregate Rating 1404 ± 16, rank #5908 of 10916 rated models, from 68 benchmark results.

Strongest benchmark results

BenchmarkScoreMetricPercentile
MMLU-by-task - College Physics45.1Accuracy (%)99.8
MMLU-by-task - Public Relations73.64Accuracy (%)97.6
MMLU-by-task - TruthfulQA MC142.96Accuracy (%)97.4
MMLU-by-task - TruthfulQA MC259.7Accuracy (%)97.2
MMLU-by-task - ARC Challenge65.27Accuracy (%)96.4
MMLU-by-task - Management82.52Accuracy (%)96.4
MMLU-by-task - Virology53.61Accuracy (%)95.4
MMLU-by-task - Security Studies77.96Accuracy (%)95.1
MMLU-by-task - Moral Scenarios49.05Accuracy (%)94.4
MMLU-by-task - Moral Disputes75.14Accuracy (%)94.1
MMLU-by-task - Professional Accounting52.84Accuracy (%)94.1
MMLU-by-task - Clinical Knowledge69.81Accuracy (%)93.7

Interactive version: theaggregate.ai/model?slug=llama-65b-instruct · How It Works · Data refreshed daily, snapshot 2026-11-08.