Model comparison
Claude 1.3 vs Llama 3-8B
Llama 3-8B has enough public results to be ranked (#338); Claude 1.3 does not yet, so treat this comparison as directional.
Last verified . 2 shared benchmarks.
Summary
- They share 2 benchmarks with published results for both.
- Llama 3-8B has downloadable open weights; the other is API-only.
Side by side
| Claude 1.3 | Llama 3-8B | |
|---|---|---|
| Provider | Anthropic | Meta |
| Noometry Index | — | 25.3 |
| Released | 2023-04-18 | 2024-04-18 |
| Weights | Proprietary | Open |
| Context window | — | 8K |
| Max output | — | 8K |
| Input $ / M tokens | — | $0.14 |
| Output $ / M tokens | — | $0.14 |
| Results tracked | 2 | 34 |
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Category by category
Coding Not comparable
Claude 1.3: —, Llama 3-8B: 30.5 (#285)
| Benchmark | Claude 1.3 | Llama 3-8B |
|---|---|---|
| BigCodeBench Instruct | — | 31.9% |
| LMArena Coding | — | 1152 |
| BigCodeBench Complete | — | 36.9% |
| HumanEval+ | — | 56.7% |
| MBPP+ | — | 54.8% |
Reasoning Not comparable
Claude 1.3: —, Llama 3-8B: 13.8 (#321)
| Benchmark | Claude 1.3 | Llama 3-8B |
|---|---|---|
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | — | 1133 |
| DTBench | — | 43.9% |
| Adversarial NLI | — | 57.3% |
| Epoch Capabilities Index | — | 116.33 |
| ForecastBench | — | 58.6 |
| WinoGrande | — | 75.7% |
Math Not comparable
Claude 1.3: —, Llama 3-8B: 8.3 (#317)
| Benchmark | Claude 1.3 | Llama 3-8B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 1.9% |
| LMArena Math | — | 1151 |
| MATH Level 5 | — | 6.1% |
Knowledge Not comparable
Claude 1.3: —, Llama 3-8B: 7.8 (#303)
| Benchmark | Claude 1.3 | Llama 3-8B |
|---|---|---|
| MMLU | 77% | 68.8% |
| TriviaQA | 86.7% | 67.7% |
| GPQA Diamond | — | 26.1% |
| LMArena Expert | — | 1113 |
| ARC (AI2) Challenge | — | 82.8% |
| OpenBookQA | — | 82.6% |
Multilingual Not comparable
Claude 1.3: —, Llama 3-8B: 31.0 (#256)
| Benchmark | Claude 1.3 | Llama 3-8B |
|---|---|---|
| LMArena Non-English | — | 1098 |
| LMArena Chinese | — | 1076 |
| LMArena French | — | 1158 |
| LMArena German | — | 1104 |
| LMArena Japanese | — | 967 |
| LMArena Korean | — | 1003 |
| LMArena Russian | — | 1109 |
| LMArena Spanish | — | 1172 |
Instruction Following Not comparable
Claude 1.3: —, Llama 3-8B: 58.7 (#255)
| Benchmark | Claude 1.3 | Llama 3-8B |
|---|---|---|
| LMArena Instruction Following | — | 1127 |
Long Context Not comparable
Claude 1.3: —, Llama 3-8B: 34.2 (#246)
| Benchmark | Claude 1.3 | Llama 3-8B |
|---|---|---|
| LMArena Longer Query | — | 1128 |
Writing & Preference Not comparable
Claude 1.3: —, Llama 3-8B: 37.7 (#251)
| Benchmark | Claude 1.3 | Llama 3-8B |
|---|---|---|
| LMArena Text | — | 1166 |
| LMArena Creative Writing | — | 1150 |
| LMArena Multi-Turn | — | 1152 |
Frequently asked questions
Is Claude 1.3 better than Llama 3-8B?
Llama 3-8B has enough public results to be ranked (#338); Claude 1.3 does not yet, so treat this comparison as directional.
How many benchmarks do Claude 1.3 and Llama 3-8B share?
2 benchmarks have published results for both models. Claude 1.3 has 2 scored results on Noometry and Llama 3-8B has 34.