Model comparison
Claude Sonnet 4 vs Llama 3-70B
Claude Sonnet 4 is the stronger model overall, scoring 40.8 to 28.8 on the Noometry Index.
Last verified . 25 shared benchmarks.
MetaSummary
- They share 25 benchmarks with published results for both. Claude Sonnet 4 scores higher in 8 categories and Llama 3-70B in 1 category; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Sonnet 4 leads 43.3 to 12.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 71.1% for Claude Sonnet 4 and 4.3% for Llama 3-70B.
- Llama 3-70B has downloadable open weights; the other is API-only.
Side by side
| Claude Sonnet 4 | Llama 3-70B | |
|---|---|---|
| Provider | Anthropic | Meta |
| Noometry Index | 40.8 | 28.8 |
| Released | 2025-05-22 | 2024-04-18 |
| Weights | Proprietary | Open |
| Context window | 200K | — |
| Max output | 64K | — |
| Input $ / M tokens | $3 | — |
| Output $ / M tokens | $15 | — |
| Results tracked | 58 | 31 |
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Category by category
Coding Claude Sonnet 4 leads
Claude Sonnet 4: 43.5 (#88), Llama 3-70B: 35.8 (#218)
| Benchmark | Claude Sonnet 4 | Llama 3-70B |
|---|---|---|
| LMArena Coding | 1414 | 1206 |
| SWE-bench Verified (bash only) | 64.9% | — |
| Aider Polyglot | 61.3% | — |
| SciCode | 40% | — |
| GSO | 4.9% | — |
| WeirdML | 46.1% | — |
| BigCodeBench Instruct | — | 43.6% |
| BigCodeBench Complete | — | 54.5% |
| ALE-Bench | 655.35 | — |
| HumanEval+ | — | 72% |
| MBPP+ | — | 69% |
Agentic & Tool Use Claude Sonnet 4 leads
Claude Sonnet 4: 38.5 (#31), Llama 3-70B: 21.1 (#139)
| Benchmark | Claude Sonnet 4 | Llama 3-70B |
|---|---|---|
| Cybench | 35% | 5% |
| TheAgentCompany | 33.1% | — |
| DeepResearch Bench | 46.6% | — |
| OSWorld | 43.9% | — |
| METR Time Horizons | 62% | — |
Reasoning Claude Sonnet 4 leads
Claude Sonnet 4: 22.9 (#187), Llama 3-70B: 18.0 (#288)
| Benchmark | Claude Sonnet 4 | Llama 3-70B |
|---|---|---|
| Kagi LLM Benchmark | 73% | 35.1% |
| LMArena Hard Prompts | 1372 | 1195 |
| DTBench | 77.1% | 54.2% |
| Epoch Capabilities Index | 141.69 | 122.93 |
| ForecastBench | 60.2 | 57.1 |
| ARC-AGI-2 | 5.9% | — |
| SimpleBench | 45.5% | — |
| ARC-AGI-1 | 40% | — |
| CritPt | 0.3% | — |
| EnigmaEval | 3.1% | — |
| LMCA | 29% | — |
| WinoGrande | — | 83.5% |
Math Claude Sonnet 4 leads
Claude Sonnet 4: 43.3 (#80), Llama 3-70B: 12.8 (#305)
| Benchmark | Claude Sonnet 4 | Llama 3-70B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 71.1% | 4.3% |
| LMArena Math | 1375 | 1218 |
| MATH Level 5 | 84.4% | 22.6% |
| Omni-MATH | 60.2% | — |
| FrontierMath (Feb 2025 set) | 4.1% | — |
| FrontierMath Tier 4 (v1) | 0% | — |
Knowledge Claude Sonnet 4 leads
Claude Sonnet 4: 41.8 (#108), Llama 3-70B: 20.8 (#277)
| Benchmark | Claude Sonnet 4 | Llama 3-70B |
|---|---|---|
| GPQA Diamond | 79.2% | 40.6% |
| LMArena Expert | 1372 | 1149 |
| Humanity's Last Exam | 7.8% | — |
| MMLU-Pro | 84.3% | — |
| Confabulations | 13.2% | — |
| Vectara Hallucination Rate | 10.3% | — |
| GPQA (HELM) | 70.6% | — |
| MMLU | — | 79.3% |
Multimodal Not comparable
Claude Sonnet 4: 26.2 (#121), Llama 3-70B: —
| Benchmark | Claude Sonnet 4 | Llama 3-70B |
|---|---|---|
| LMArena Vision | 1191 | — |
| GeoBench | 37% | — |
| VPCT | 34% | — |
| MindCube | 44.8% | — |
Multilingual Claude Sonnet 4 leads
Claude Sonnet 4: 46.7 (#156), Llama 3-70B: 33.6 (#251)
| Benchmark | Claude Sonnet 4 | Llama 3-70B |
|---|---|---|
| LMArena Non-English | 1333 | 1142 |
| LMArena Chinese | 1350 | 1114 |
| LMArena French | 1363 | 1232 |
| LMArena German | 1331 | 1169 |
| LMArena Japanese | 1302 | 1017 |
| LMArena Korean | 1291 | 1017 |
| LMArena Russian | 1355 | 1159 |
| LMArena Spanish | 1357 | 1241 |
Instruction Following Claude Sonnet 4 leads
Claude Sonnet 4: 71.7 (#145), Llama 3-70B: 62.5 (#238)
| Benchmark | Claude Sonnet 4 | Llama 3-70B |
|---|---|---|
| LMArena Instruction Following | 1376 | 1194 |
| IFEval | 84% | — |
Long Context Llama 3-70B leads
Claude Sonnet 4: 33.7 (#259), Llama 3-70B: 35.6 (#240)
| Benchmark | Claude Sonnet 4 | Llama 3-70B |
|---|---|---|
| LMArena Longer Query | 1398 | 1174 |
| Fiction.LiveBench | 46.9% | — |
Writing & Preference Claude Sonnet 4 leads
Claude Sonnet 4: 57.1 (#132), Llama 3-70B: 42.8 (#231)
| Benchmark | Claude Sonnet 4 | Llama 3-70B |
|---|---|---|
| LMArena Text | 1351 | 1221 |
| LMArena Creative Writing | 1345 | 1210 |
| LMArena Multi-Turn | 1376 | 1223 |
| Short-Story Creative Writing | 81.4% | — |
| EQ-Bench Creative Writing | 1483 | — |
| WildBench | 83.8% | — |
Frequently asked questions
Is Claude Sonnet 4 better than Llama 3-70B?
Claude Sonnet 4 is the stronger model overall, scoring 40.8 to 28.8 on the Noometry Index.
Is Claude Sonnet 4 or Llama 3-70B better for coding?
Claude Sonnet 4 scores higher on coding benchmarks: 43.5 versus 35.8 in the Noometry coding category.
How many benchmarks do Claude Sonnet 4 and Llama 3-70B share?
25 benchmarks have published results for both models. Claude Sonnet 4 has 58 scored results on Noometry and Llama 3-70B has 31.