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A head-to-head benchmark comparison of Llama 4 Scout across 17 evaluations.
We’re sharing the first models in the Llama 4 herd, which will enable people to build more personalized multimodal experiences. Llama 4 Scout, a 17 billion acti.
Full Llama 4 Scout specs →| Benchmark | Llama 4 Scout |
|---|---|
| code | |
| LiveCodeBench | 33.1% |
| MBPP+ | 73.5% |
| general | |
| ArenaHard | 86.9% |
| C-Eval | 77.3% |
| CLUEWSC | 87.6% |
| IFEval | 85.2% |
| MMLU | 79.4% |
| MMLU-Pro | 73.8% |
| MMLU-Redux | 84.8% |
| knowledge | |
| CMMLU | 70 |
| SuperGPQA | 45 |
| math | |
| AIME 2024 | 29% |
| AIME 2025 | 10.2% |
| CNMO 2024 | 20.4% |
| MATH-500 | 82.4% |
| reasoning | |
| DROP | 89.3% |
| GPQA Diamond | 53.5% |
Best result per row highlighted in cyan. Each benchmark links to its definition and sources; each model links to its full scorecard.
Llama 4 Scout has the strongest result on LiveCodeBench among the models compared here. See the code-category rows in the table for the full picture.
This comparison covers 17 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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