Llama 3.1 70B Instruct — benchmark results
Meta's mid-size open Llama 3.1 instruction-tuned model (70B dense) with a 128K context and multilingual support (July 2024). Provider: Meta. Released 2024-07-23. Access: Open.
Unified ELO 1558 ± 6, rank #599 of 1776 rated models, from 780 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| European LLM Leaderboard - Accuracy | 70.57 | Average Accuracy (%) | 100 |
| HELM SeaHELM - UIT-VSFC | 73.08 | Macro F1 score | 100 |
| HREF | 48.98 | Average HREF Score (%) | 100 |
| HumanLikeness - Meaning-1 | 80.22 | Humanlike Score (%) | 100 |
| HumanLikeness - Overall | 66.91 | Overall Humanlike (%) | 100 |
| HumanLikeness - Sound-1 | 88.51 | Humanlike Score (%) | 100 |
| LiveBench Paraphrase | 82.25 | Score | 100 |
| LiveBench Summarize | 83.85 | Score | 100 |
| NVIDIA LLM Robustness - AGIEval Accuracy | 70.81 | Accuracy (%) | 100 |
| NVIDIA LLM Robustness - MMLU-Pro Accuracy | 64.16 | Accuracy (%) | 100 |
| Open LLM Leaderboard - IFEval | 86.69 | Score | 100 |
| RedCode | 75.54 | Score (%) | 100 |
Interactive version: theaggregate.ai/model?slug=llama-3-1-70b-instruct · How the rankings work · Data refreshed daily, snapshot 2026-07-22.