Model comparison
Claude 3.7 Sonnet vs Llama 13b
Claude 3.7 Sonnet is the stronger model overall, scoring 39.5 to 24.4 on the Noometry Index.
Last verified . 9 shared benchmarks.
MetaSummary
- They share 9 benchmarks with published results for both. Claude 3.7 Sonnet scores higher in 6 categories and Llama 13b in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Claude 3.7 Sonnet leads 54.4 to 13.8.
- Llama 13b has downloadable open weights; the other is API-only.
Side by side
| Claude 3.7 Sonnet | Llama 13b | |
|---|---|---|
| Provider | Anthropic | Meta |
| Noometry Index | 39.5 | 24.4 |
| Released | 2025-02-24 | 2023-02-24 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 58 | 21 |
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Category by category
Coding Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 40.6 (#136), Llama 13b: 21.4 (#337)
| Benchmark | Claude 3.7 Sonnet | Llama 13b |
|---|---|---|
| LMArena Coding | 1361 | 683 |
| SWE-bench Verified | 61% | — |
| SWE-bench Verified (bash only) | 52.8% | — |
| Aider Polyglot | 64.9% | — |
| GSO | 3.8% | — |
| LiveBench Coding | 74.5% | — |
| CadEval | 54% | — |
Agentic & Tool Use Not comparable
Claude 3.7 Sonnet: 34.1 (#50), Llama 13b: —
| Benchmark | Claude 3.7 Sonnet | Llama 13b |
|---|---|---|
| TheAgentCompany | 30.9% | — |
| Cybench | 20% | — |
| DeepResearch Bench | 43.6% | — |
| OSWorld | 35.8% | — |
| METR Time Horizons | 60% | — |
Reasoning Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 18.6 (#277), Llama 13b: 14.0 (#329)
| Benchmark | Claude 3.7 Sonnet | Llama 13b |
|---|---|---|
| LMArena Hard Prompts | 1333 | 728 |
| Epoch Capabilities Index | 141.16 | 100.58 |
| ARC-AGI-2 | 0.9% | — |
| SimpleBench | 46.4% | — |
| ARC-AGI-1 | 28.6% | — |
| EnigmaEval | 4.2% | — |
| LiveBench Reasoning | 87.8% | — |
| LiveBench Data Analysis | 74% | — |
| BIG-Bench Hard | — | 37.9% |
| ForecastBench | 61.8 | — |
| HellaSwag | — | 79.2% |
| LAMBADA | — | 75.2% |
| LiveBench | 76.1% | — |
| PIQA | — | 80.1% |
| WinoGrande | — | 73% |
Math Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 37.5 (#153), Llama 13b: 26.7 (#256)
| Benchmark | Claude 3.7 Sonnet | Llama 13b |
|---|---|---|
| LMArena Math | 1337 | 838 |
| OTIS Mock AIME 2024-2025 | 57.8% | — |
| Omni-MATH | 33% | — |
| LiveBench Math | 79% | — |
| MATH Level 5 | 91.2% | — |
| FrontierMath (Feb 2025 set) | 4.1% | — |
| GSM8K | — | 20.6% |
Knowledge Not comparable
Claude 3.7 Sonnet: 39.8 (#130), Llama 13b: —
| Benchmark | Claude 3.7 Sonnet | Llama 13b |
|---|---|---|
| GPQA Diamond | 79.7% | — |
| Humanity's Last Exam | 8% | — |
| MMLU-Pro | 78.4% | — |
| Confabulations | 14.7% | — |
| GPQA (HELM) | 60.8% | — |
| LMArena Expert | 1321 | — |
| ARC (AI2) Challenge | — | 52.7% |
| BoolQ | — | 78.7% |
| MMLU | — | 47.7% |
| OpenBookQA | — | 56.4% |
| TriviaQA | — | 77.9% |
Multimodal Not comparable
Claude 3.7 Sonnet: 33.7 (#95), Llama 13b: —
| Benchmark | Claude 3.7 Sonnet | Llama 13b |
|---|---|---|
| LMArena Vision | 1169 | — |
| GeoBench | 68% | — |
| VPCT | 39% | — |
| ScienceQA | — | 43.3% |
| SpatialViz-Bench | 33.9% | — |
Multilingual Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 44.1 (#179), Llama 13b: 16.6 (#297)
| Benchmark | Claude 3.7 Sonnet | Llama 13b |
|---|---|---|
| LMArena Non-English | 1296 | 819 |
| LMArena Chinese | 1299 | — |
| LMArena French | 1303 | — |
| LMArena German | 1301 | — |
| LMArena Japanese | 1267 | — |
| LMArena Korean | 1249 | — |
| LMArena Russian | 1311 | — |
| LMArena Spanish | 1298 | — |
Instruction Following Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 72.9 (#125), Llama 13b: 36.7 (#305)
| Benchmark | Claude 3.7 Sonnet | Llama 13b |
|---|---|---|
| LMArena Instruction Following | 1352 | 781 |
| LiveBench Instruction Following | 81.3% | — |
| IFEval | 83.4% | — |
Long Context Not comparable
Claude 3.7 Sonnet: 50.3 (#10), Llama 13b: —
| Benchmark | Claude 3.7 Sonnet | Llama 13b |
|---|---|---|
| Fiction.LiveBench | 83.3% | — |
| LMArena Longer Query | 1373 | — |
Writing & Preference Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 54.4 (#150), Llama 13b: 13.8 (#312)
| Benchmark | Claude 3.7 Sonnet | Llama 13b |
|---|---|---|
| LMArena Text | 1314 | 834 |
| LMArena Creative Writing | 1332 | 794 |
| LMArena Multi-Turn | 1339 | 753 |
| Short-Story Creative Writing | 81.1% | — |
| EQ-Bench Creative Writing | 1412 | — |
| WildBench | 81.4% | — |
| LiveBench Language | 59.9% | — |
Frequently asked questions
Is Claude 3.7 Sonnet better than Llama 13b?
Claude 3.7 Sonnet is the stronger model overall, scoring 39.5 to 24.4 on the Noometry Index.
Is Claude 3.7 Sonnet or Llama 13b better for coding?
Claude 3.7 Sonnet scores higher on coding benchmarks: 40.6 versus 21.4 in the Noometry coding category.
How many benchmarks do Claude 3.7 Sonnet and Llama 13b share?
9 benchmarks have published results for both models. Claude 3.7 Sonnet has 58 scored results on Noometry and Llama 13b has 21.