# Llama 3.1 8B benchmark scores

Other · model · https://benchgap.net/model/llama-3-1-8b · data retrieved 2026-10-29

As of 2026-10-29, Llama 3.1 8B (Other) has measured scores on 6 benchmarks and estimated scores on 20 more.

| Benchmark | Score | Source |
|---|---|---|
| [AA-GPQA Diamond](https://benchgap.net/b/aa-gpqa-diamond/current.md) | 27.0% | measured |
| [AA-HLE](https://benchgap.net/b/aa-hle/current.md) | 4.3% | measured |
| [CritPt](https://benchgap.net/b/critpt/current.md) | 0.0% | estimated ± 0.3 pp, high confidence |
| [GPQA Diamond](https://benchgap.net/b/gpqa-diamond/current.md) | 31.0% | estimated ± 1.2 pp, high confidence |
| [HLE](https://benchgap.net/b/hle/current.md) | 6.0% | estimated ± 9.7 pp, low confidence |
| [IFBench](https://benchgap.net/b/ifbench/current.md) | 45.2% | estimated ± 9.2 pp, medium confidence |
| [IFEval](https://benchgap.net/b/ifeval/current.md) | 80.4% | measured |
| [MMLU-Pro](https://benchgap.net/b/mmlu-pro/current.md) | 48.3% | measured |
| [AA-IFBench](https://benchgap.net/b/aa-if-bench/current.md) | 25.6% | estimated ± 8.8 pp, medium confidence |
| [Artificial Analysis Intelligence Index](https://benchgap.net/b/artificialanalysis/current.md) | 5.7% | estimated ± 1.6 pp, medium confidence |
| [BBH](https://benchgap.net/b/bbh/current.md) | 76.0% | estimated ± 2.4 pp, medium confidence |
| [GPQA](https://benchgap.net/b/gpqa/current.md) | 30.4% | measured |
| [MMLU](https://benchgap.net/b/mmlu/current.md) | 73.0% | measured |
| [AA-Omniscience Accuracy](https://benchgap.net/b/omniscienceaccuracy/current.md) | 13.0% | estimated ± 1.5 pp, medium confidence |
| [MMMLU](https://benchgap.net/b/mmmlu/current.md) | 56.4% | estimated ± 1.7 pp, high confidence |
| [AA MMLU-Pro](https://benchgap.net/b/aa-mmlu-pro/current.md) | 85.9% | estimated ± 1.5 pp, medium confidence |
| [ARC-AGI-1](https://benchgap.net/b/arcagi1/current.md) | 60.5% | estimated ± 8.1 pp, low confidence |
| [ARC-AGI-2](https://benchgap.net/b/arc-agi-2/current.md) | 30.7% | estimated ± 14.6 pp, low confidence |
| [Vals GPQA Diamond](https://benchgap.net/b/vals-gpqa-diamond/current.md) | 68.9% | estimated ± 8.2 pp, low confidence |
| [Vals MMLU-Pro](https://benchgap.net/b/vals-mmlu-pro/current.md) | 80.2% | estimated ± 2.3 pp, low confidence |
| [HLE w/o tools](https://benchgap.net/b/hlenotools/current.md) | 3.4% | estimated ± 5.4 pp, low confidence |
| [ARC-AGI-3](https://benchgap.net/b/arcagi3/current.md) | 1.4% | estimated ± 7.7 pp, low confidence |
| [C-Eval](https://benchgap.net/b/ceval/current.md) | 69.6% | estimated ± 1.2 pp, medium confidence |
| [MMLU-Redux](https://benchgap.net/b/mmluredux/current.md) | 69.7% | estimated ± 0.6 pp, medium confidence |
| [SuperGPQA](https://benchgap.net/b/supergpqa/current.md) | 27.8% | estimated ± 12.1 pp, low confidence |
| [SimpleQA](https://benchgap.net/b/simpleqa/current.md) | 1.9% | estimated ± 7.8 pp, low confidence |