Model comparison
Claude 3.5 Sonnet vs Llama 3-8B
Claude 3.5 Sonnet is the stronger model overall, scoring 34.4 to 25.3 on the Noometry Index.
Last verified . 28 shared benchmarks.
MetaSummary
- They share 28 benchmarks with published results for both. Claude 3.5 Sonnet scores higher in 8 categories and Llama 3-8B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Claude 3.5 Sonnet leads 28.5 to 7.8.
- The biggest single-benchmark swing is MATH Level 5: 56.9% for Claude 3.5 Sonnet and 6.1% for Llama 3-8B.
- Llama 3-8B has downloadable open weights; the other is API-only.
Side by side
| Claude 3.5 Sonnet | Llama 3-8B | |
|---|---|---|
| Provider | Anthropic | Meta |
| Noometry Index | 34.4 | 25.3 |
| Released | 2024-06-20 | 2024-04-18 |
| Weights | Proprietary | Open |
| Context window | — | 8K |
| Max output | — | 8K |
| Input $ / M tokens | — | $0.14 |
| Output $ / M tokens | — | $0.14 |
| Results tracked | 60 | 34 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Claude 3.5 Sonnet leads
Claude 3.5 Sonnet: 39.5 (#145), Llama 3-8B: 30.5 (#285)
| Benchmark | Claude 3.5 Sonnet | Llama 3-8B |
|---|---|---|
| BigCodeBench Instruct | 46.8% | 31.9% |
| LMArena Coding | 1343 | 1152 |
| BigCodeBench Complete | 58.6% | 36.9% |
| HumanEval+ | 81.7% | 56.7% |
| MBPP+ | 74.3% | 54.8% |
| Aider Polyglot | 51.6% | — |
| GSO | 4.6% | — |
| WeirdML | 40% | — |
| LiveBench Coding | 67.1% | — |
| CadEval | 48% | — |
Agentic & Tool Use Not comparable
Claude 3.5 Sonnet: 32.1 (#61), Llama 3-8B: —
| Benchmark | Claude 3.5 Sonnet | Llama 3-8B |
|---|---|---|
| TheAgentCompany | 24% | — |
| Cybench | 17.5% | — |
| BALROG | 32.6% | — |
| METR Time Horizons | 45.2% | — |
Reasoning Claude 3.5 Sonnet leads
Claude 3.5 Sonnet: 22.5 (#176), Llama 3-8B: 13.8 (#321)
| Benchmark | Claude 3.5 Sonnet | Llama 3-8B |
|---|---|---|
| LMArena Hard Prompts | 1305 | 1133 |
| DTBench | 67.8% | 43.9% |
| Epoch Capabilities Index | 133.55 | 116.33 |
| ForecastBench | 60.7 | 58.6 |
| SimpleBench | 41.4% | — |
| Chess Puzzles | — | 0% |
| EnigmaEval | 0.9% | — |
| LiveBench Reasoning | 56.7% | — |
| LiveBench Data Analysis | 55% | — |
| Adversarial NLI | — | 57.3% |
| LiveBench | 59% | — |
| WinoGrande | — | 75.7% |
Math Claude 3.5 Sonnet leads
Claude 3.5 Sonnet: 18.0 (#282), Llama 3-8B: 8.3 (#317)
| Benchmark | Claude 3.5 Sonnet | Llama 3-8B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 8.5% | 1.9% |
| LMArena Math | 1306 | 1151 |
| MATH Level 5 | 56.9% | 6.1% |
| Omni-MATH | 27.6% | — |
| LiveBench Math | 52.3% | — |
| FrontierMath (Feb 2025 set) | 2.1% | — |
| FrontierMath Tier 4 (v1) | 0% | — |
Knowledge Claude 3.5 Sonnet leads
Claude 3.5 Sonnet: 28.5 (#236), Llama 3-8B: 7.8 (#303)
| Benchmark | Claude 3.5 Sonnet | Llama 3-8B |
|---|---|---|
| GPQA Diamond | 55.3% | 26.1% |
| LMArena Expert | 1264 | 1113 |
| MMLU | 87.3% | 68.8% |
| Humanity's Last Exam | 4.1% | — |
| MMLU-Pro | 77.7% | — |
| Confabulations | 19.9% | — |
| GPQA (HELM) | 56.5% | — |
| ARC (AI2) Challenge | — | 82.8% |
| OpenBookQA | — | 82.6% |
| TriviaQA | — | 67.7% |
Multimodal Not comparable
Claude 3.5 Sonnet: 26.0 (#115), Llama 3-8B: —
| Benchmark | Claude 3.5 Sonnet | Llama 3-8B |
|---|---|---|
| LMArena Vision | 1125 | — |
| Video-MME | 60% | — |
| GeoBench | 62% | — |
| VPCT | 33% | — |
Multilingual Claude 3.5 Sonnet leads
Claude 3.5 Sonnet: 43.4 (#180), Llama 3-8B: 31.0 (#256)
| Benchmark | Claude 3.5 Sonnet | Llama 3-8B |
|---|---|---|
| LMArena Non-English | 1283 | 1098 |
| LMArena Chinese | 1271 | 1076 |
| LMArena French | 1304 | 1158 |
| LMArena German | 1297 | 1104 |
| LMArena Japanese | 1234 | 967 |
| LMArena Korean | 1200 | 1003 |
| LMArena Russian | 1305 | 1109 |
| LMArena Spanish | 1289 | 1172 |
Instruction Following Claude 3.5 Sonnet leads
Claude 3.5 Sonnet: 69.0 (#177), Llama 3-8B: 58.7 (#255)
| Benchmark | Claude 3.5 Sonnet | Llama 3-8B |
|---|---|---|
| LMArena Instruction Following | 1297 | 1127 |
| LiveBench Instruction Following | 69.3% | — |
| IFEval | 85.5% | — |
Long Context Claude 3.5 Sonnet leads
Claude 3.5 Sonnet: 39.9 (#162), Llama 3-8B: 34.2 (#246)
| Benchmark | Claude 3.5 Sonnet | Llama 3-8B |
|---|---|---|
| LMArena Longer Query | 1311 | 1128 |
Writing & Preference Claude 3.5 Sonnet leads
Claude 3.5 Sonnet: 53.0 (#159), Llama 3-8B: 37.7 (#251)
| Benchmark | Claude 3.5 Sonnet | Llama 3-8B |
|---|---|---|
| LMArena Text | 1298 | 1166 |
| LMArena Creative Writing | 1292 | 1150 |
| LMArena Multi-Turn | 1326 | 1152 |
| Short-Story Creative Writing | 80.3% | — |
| EQ-Bench Creative Writing | 1451 | — |
| WildBench | 79.2% | — |
| LiveBench Language | 53.8% | — |
Frequently asked questions
Is Claude 3.5 Sonnet better than Llama 3-8B?
Claude 3.5 Sonnet is the stronger model overall, scoring 34.4 to 25.3 on the Noometry Index.
Is Claude 3.5 Sonnet or Llama 3-8B better for coding?
Claude 3.5 Sonnet scores higher on coding benchmarks: 39.5 versus 30.5 in the Noometry coding category.
How many benchmarks do Claude 3.5 Sonnet and Llama 3-8B share?
28 benchmarks have published results for both models. Claude 3.5 Sonnet has 60 scored results on Noometry and Llama 3-8B has 34.