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A head-to-head benchmark comparison of Llama 3.1-405B across 15 evaluations.
Modern artificial intelligence (AI) systems are powered by foundation models. This paper presents a new set of foundation models, called Llama 3. It is a herd o.
Full Llama 3.1-405B specs →| Benchmark | Llama 3.1-405B |
|---|---|
| code | |
| HumanEval | 95.9% |
| HumanEval+ | 90.3% |
| MBPP+ | 73% |
| general | |
| AlpacaEval 2 | 38.5% |
| ArenaHard | 63.5% |
| IFEval | 88.4% |
| MMLU | 88.6% |
| MMLU-Pro | 73.3% |
| math | |
| GSM8K | 96.8% |
| MATH | 73.8% |
| reasoning | |
| BIG-Bench Hard | 87.1% |
| DROP | 92.5% |
| GPQA Diamond | 50.7% |
| safety | |
| C-SimpleQA | 54.7% |
| SimpleQA | 23.2% |
Best result per row highlighted in cyan. Each benchmark links to its definition and sources; each model links to its full scorecard.
Llama 3.1-405B has the strongest result on HumanEval among the models compared here. See the code-category rows in the table for the full picture.
This comparison covers 15 benchmarks on which at least one of the selected models has a published score.
Scores are aggregated from official model cards, technical reports and standard public evaluations, and link back to each benchmark's source. They are updated as new results are published.
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