Model comparison
Claude Sonnet 5 vs Llama 3-70B
Claude Sonnet 5 is the stronger model overall, scoring 54.6 to 28.8 on the Noometry Index.
Last verified . 22 shared benchmarks.
MetaSummary
- They share 22 benchmarks with published results for both. Claude Sonnet 5 scores higher in 9 categories and Llama 3-70B in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Sonnet 5 leads 66.2 to 12.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 94.7% for Claude Sonnet 5 and 4.3% for Llama 3-70B.
- Llama 3-70B has downloadable open weights; the other is API-only.
Side by side
| Claude Sonnet 5 | Llama 3-70B | |
|---|---|---|
| Provider | Anthropic | Meta |
| Noometry Index | 54.6 | 28.8 |
| Released | 2026-06-29 | 2024-04-18 |
| Weights | Proprietary | Open |
| Context window | 1M | — |
| Max output | 128K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $10 | — |
| Results tracked | 51 | 31 |
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Category by category
Coding Claude Sonnet 5 leads
Claude Sonnet 5: 55.5 (#26), Llama 3-70B: 35.8 (#218)
| Benchmark | Claude Sonnet 5 | Llama 3-70B |
|---|---|---|
| LMArena Coding | 1483 | 1206 |
| DeepSWE | 53.8% | — |
| FrontierCode | 42.7% | — |
| CursorBench | 34.1% | — |
| LMArena WebDev | 1541 | — |
| SciCode | 54.3% | — |
| GSO | 37.3% | — |
| WeirdML | 68.8% | — |
| BigCodeBench Instruct | — | 43.6% |
| BigCodeBench Complete | — | 54.5% |
| ALE-Bench | 1,463 | — |
| HumanEval+ | — | 72% |
| MBPP+ | — | 69% |
Agentic & Tool Use Claude Sonnet 5 leads
Claude Sonnet 5: 42.8 (#18), Llama 3-70B: 21.1 (#139)
| Benchmark | Claude Sonnet 5 | Llama 3-70B |
|---|---|---|
| APEX-Agents | 54.5% | — |
| Cybench | — | 5% |
| GBAEval | 65.3% | — |
| LMArena Search | 1194 | — |
| Vending-Bench 2 | 6,378 | — |
Reasoning Claude Sonnet 5 leads
Claude Sonnet 5: 49.1 (#39), Llama 3-70B: 18.0 (#288)
| Benchmark | Claude Sonnet 5 | Llama 3-70B |
|---|---|---|
| LMArena Hard Prompts | 1461 | 1195 |
| DTBench | 92.5% | 54.2% |
| Epoch Capabilities Index | 156.21 | 122.93 |
| ForecastBench | 61.1 | 57.1 |
| SimpleBench | 60.6% | — |
| Kagi LLM Benchmark | — | 35.1% |
| NYT Connections (extended) | 75.1% | — |
| CritPt | 16.9% | — |
| Chess Puzzles | 35% | — |
| Mystery Game Puzzles | 35% | — |
| LMCA | 50% | — |
| Surface Evolver Bench | 60% | — |
| Bench to the Future 3 | 0.14 | — |
| WinoGrande | — | 83.5% |
Math Claude Sonnet 5 leads
Claude Sonnet 5: 66.2 (#27), Llama 3-70B: 12.8 (#305)
| Benchmark | Claude Sonnet 5 | Llama 3-70B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 94.7% | 4.3% |
| LMArena Math | 1467 | 1218 |
| FrontierMath (Tiers 1-3) | 65.6% | — |
| FrontierMath Tier 4 | 29.3% | — |
| ProofBench | 77% | — |
| MATH Level 5 | — | 22.6% |
Knowledge Claude Sonnet 5 leads
Claude Sonnet 5: 55.6 (#47), Llama 3-70B: 20.8 (#277)
| Benchmark | Claude Sonnet 5 | Llama 3-70B |
|---|---|---|
| GPQA Diamond | 90.5% | 40.6% |
| LMArena Expert | 1490 | 1149 |
| SimpleQA Verified | 33.7% | — |
| MMLU | — | 79.3% |
Multimodal Not comparable
Claude Sonnet 5: 42.4 (#31), Llama 3-70B: —
| Benchmark | Claude Sonnet 5 | Llama 3-70B |
|---|---|---|
| LMArena Vision | 1274 | — |
| Blueprint-Bench 2 | 24.9% | — |
| LMArena Document | 1466 | — |
Multilingual Claude Sonnet 5 leads
Claude Sonnet 5: 53.8 (#55), Llama 3-70B: 33.6 (#251)
| Benchmark | Claude Sonnet 5 | Llama 3-70B |
|---|---|---|
| LMArena Non-English | 1431 | 1142 |
| LMArena Chinese | 1477 | 1114 |
| LMArena French | 1460 | 1232 |
| LMArena German | 1440 | 1169 |
| LMArena Japanese | 1422 | 1017 |
| LMArena Korean | 1411 | 1017 |
| LMArena Russian | 1451 | 1159 |
| LMArena Spanish | 1437 | 1241 |
Instruction Following Claude Sonnet 5 leads
Claude Sonnet 5: 76.3 (#41), Llama 3-70B: 62.5 (#238)
| Benchmark | Claude Sonnet 5 | Llama 3-70B |
|---|---|---|
| LMArena Instruction Following | 1452 | 1194 |
Long Context Claude Sonnet 5 leads
Claude Sonnet 5: 44.8 (#55), Llama 3-70B: 35.6 (#240)
| Benchmark | Claude Sonnet 5 | Llama 3-70B |
|---|---|---|
| LMArena Longer Query | 1463 | 1174 |
Writing & Preference Claude Sonnet 5 leads
Claude Sonnet 5: 69.2 (#25), Llama 3-70B: 42.8 (#231)
| Benchmark | Claude Sonnet 5 | Llama 3-70B |
|---|---|---|
| LMArena Text | 1442 | 1221 |
| LMArena Creative Writing | 1416 | 1210 |
| LMArena Multi-Turn | 1454 | 1223 |
| EQ-Bench Creative Writing | 1794 | — |
| EQ-Bench 4 | 1236 | — |
Frequently asked questions
Is Claude Sonnet 5 better than Llama 3-70B?
Claude Sonnet 5 is the stronger model overall, scoring 54.6 to 28.8 on the Noometry Index.
Is Claude Sonnet 5 or Llama 3-70B better for coding?
Claude Sonnet 5 scores higher on coding benchmarks: 55.5 versus 35.8 in the Noometry coding category.
How many benchmarks do Claude Sonnet 5 and Llama 3-70B share?
22 benchmarks have published results for both models. Claude Sonnet 5 has 51 scored results on Noometry and Llama 3-70B has 31.