Model comparison
Claude 3.5 Sonnet vs Llama 3-70B
Claude 3.5 Sonnet is the stronger model overall, scoring 34.6 to 28.8 on the Noometry Index.
Last verified . 29 shared benchmarks.
MetaSummary
- They share 29 benchmarks with published results for both. Claude 3.5 Sonnet scores higher in 9 categories and Llama 3-70B in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in agentic & tool use, where Claude 3.5 Sonnet leads 32.3 to 21.1.
- The biggest single-benchmark swing is MATH Level 5: 56.9% for Claude 3.5 Sonnet and 22.6% for Llama 3-70B.
- Llama 3-70B has downloadable open weights; the other is API-only.
Side by side
| Claude 3.5 Sonnet | Llama 3-70B | |
|---|---|---|
| Provider | Anthropic | Meta |
| Noometry Index | 34.6 | 28.8 |
| Released | 2024-06-20 | 2024-04-18 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 60 | 31 |
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Category by category
Coding Claude 3.5 Sonnet leads
Claude 3.5 Sonnet: 39.0 (#165), Llama 3-70B: 35.8 (#218)
| Benchmark | Claude 3.5 Sonnet | Llama 3-70B |
|---|---|---|
| BigCodeBench Instruct | 46.8% | 43.6% |
| LMArena Coding | 1342 | 1206 |
| BigCodeBench Complete | 58.6% | 54.5% |
| HumanEval+ | 81.7% | 72% |
| MBPP+ | 74.3% | 69% |
| Aider Polyglot | 51.6% | — |
| GSO | 4.6% | — |
| WeirdML | 40% | — |
| LiveBench Coding | 67.1% | — |
| CadEval | 48% | — |
Agentic & Tool Use Claude 3.5 Sonnet leads
Claude 3.5 Sonnet: 32.3 (#67), Llama 3-70B: 21.1 (#139)
| Benchmark | Claude 3.5 Sonnet | Llama 3-70B |
|---|---|---|
| Cybench | 17.5% | 5% |
| TheAgentCompany | 24% | — |
| BALROG | 32.6% | — |
| METR Time Horizons | 45.2% | — |
Reasoning Claude 3.5 Sonnet leads
Claude 3.5 Sonnet: 23.1 (#183), Llama 3-70B: 18.0 (#288)
| Benchmark | Claude 3.5 Sonnet | Llama 3-70B |
|---|---|---|
| LMArena Hard Prompts | 1305 | 1195 |
| DTBench | 67.8% | 54.2% |
| Epoch Capabilities Index | 133.55 | 122.93 |
| ForecastBench | 60.7 | 57.1 |
| SimpleBench | 41.4% | — |
| Kagi LLM Benchmark | — | 35.1% |
| EnigmaEval | 0.9% | — |
| LiveBench Reasoning | 56.7% | — |
| LiveBench Data Analysis | 55% | — |
| LiveBench | 59% | — |
| WinoGrande | — | 83.5% |
Math Claude 3.5 Sonnet leads
Claude 3.5 Sonnet: 19.2 (#288), Llama 3-70B: 12.8 (#305)
| Benchmark | Claude 3.5 Sonnet | Llama 3-70B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 8.5% | 4.3% |
| LMArena Math | 1307 | 1218 |
| MATH Level 5 | 56.9% | 22.6% |
| 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: 28.6 (#245), Llama 3-70B: 20.8 (#277)
| Benchmark | Claude 3.5 Sonnet | Llama 3-70B |
|---|---|---|
| GPQA Diamond | 55.3% | 40.6% |
| LMArena Expert | 1265 | 1149 |
| MMLU | 87.3% | 79.3% |
| Humanity's Last Exam | 4.1% | — |
| MMLU-Pro | 77.7% | — |
| Confabulations | 19.9% | — |
| GPQA (HELM) | 56.5% | — |
Multimodal Not comparable
Claude 3.5 Sonnet: 26.5 (#120), Llama 3-70B: —
| Benchmark | Claude 3.5 Sonnet | Llama 3-70B |
|---|---|---|
| LMArena Vision | 1125 | — |
| Video-MME | 60% | — |
| GeoBench | 62% | — |
| VPCT | 33% | — |
Multilingual Claude 3.5 Sonnet leads
Claude 3.5 Sonnet: 43.2 (#185), Llama 3-70B: 33.6 (#251)
| Benchmark | Claude 3.5 Sonnet | Llama 3-70B |
|---|---|---|
| LMArena Non-English | 1283 | 1142 |
| LMArena Chinese | 1272 | 1114 |
| LMArena French | 1305 | 1232 |
| LMArena German | 1297 | 1169 |
| LMArena Japanese | 1234 | 1017 |
| LMArena Korean | 1200 | 1017 |
| LMArena Russian | 1306 | 1159 |
| LMArena Spanish | 1290 | 1241 |
Instruction Following Claude 3.5 Sonnet leads
Claude 3.5 Sonnet: 68.8 (#182), Llama 3-70B: 62.5 (#238)
| Benchmark | Claude 3.5 Sonnet | Llama 3-70B |
|---|---|---|
| LMArena Instruction Following | 1297 | 1194 |
| LiveBench Instruction Following | 69.3% | — |
| IFEval | 85.5% | — |
Long Context Claude 3.5 Sonnet leads
Claude 3.5 Sonnet: 39.9 (#167), Llama 3-70B: 35.6 (#240)
| Benchmark | Claude 3.5 Sonnet | Llama 3-70B |
|---|---|---|
| LMArena Longer Query | 1311 | 1174 |
Writing & Preference Claude 3.5 Sonnet leads
Claude 3.5 Sonnet: 52.9 (#164), Llama 3-70B: 42.8 (#231)
| Benchmark | Claude 3.5 Sonnet | Llama 3-70B |
|---|---|---|
| LMArena Text | 1298 | 1221 |
| LMArena Creative Writing | 1292 | 1210 |
| LMArena Multi-Turn | 1326 | 1223 |
| 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 3-70B?
Claude 3.5 Sonnet is the stronger model overall, scoring 34.6 to 28.8 on the Noometry Index.
Is Claude 3.5 Sonnet or Llama 3-70B better for coding?
Claude 3.5 Sonnet scores higher on coding benchmarks: 39.0 versus 35.8 in the Noometry coding category.
How many benchmarks do Claude 3.5 Sonnet and Llama 3-70B share?
29 benchmarks have published results for both models. Claude 3.5 Sonnet has 60 scored results on Noometry and Llama 3-70B has 31.