Model comparison
Claude 3.7 Sonnet vs Llama 3.2 90B
Claude 3.7 Sonnet is the stronger model overall, scoring 39.4 to 27.1 on the Noometry Index.
Last verified . 7 shared benchmarks.
Summary
- They share 7 benchmarks with published results for both. Claude 3.7 Sonnet scores higher in 4 categories and Llama 3.2 90B in 1 category; 5 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude 3.7 Sonnet leads 35.7 to 10.4.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 57.8% for Claude 3.7 Sonnet and 2.6% for Llama 3.2 90B.
- Llama 3.2 90B has downloadable open weights; the other is API-only.
Side by side
| Claude 3.7 Sonnet | Llama 3.2 90B | |
|---|---|---|
| Provider | Anthropic | Meta |
| Noometry Index | 39.4 | 27.1 |
| Released | 2025-02-24 | 2024-09-24 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 58 | 9 |
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Category by category
Coding Not comparable
Claude 3.7 Sonnet: 41.1 (#120), Llama 3.2 90B: —
| Benchmark | Claude 3.7 Sonnet | Llama 3.2 90B |
|---|---|---|
| SWE-bench Verified | 61% | — |
| SWE-bench Verified (bash only) | 52.8% | — |
| Aider Polyglot | 64.9% | — |
| GSO | 3.8% | — |
| LiveBench Coding | 74.5% | — |
| LMArena Coding | 1361 | — |
| CadEval | 54% | — |
Agentic & Tool Use Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 33.9 (#46), Llama 3.2 90B: 29.7 (#73)
| Benchmark | Claude 3.7 Sonnet | Llama 3.2 90B |
|---|---|---|
| TheAgentCompany | 30.9% | — |
| Cybench | 20% | — |
| DeepResearch Bench | 43.6% | — |
| OSWorld | 35.8% | — |
| BALROG | — | 27.3% |
| METR Time Horizons | 60% | — |
Reasoning Llama 3.2 90B leads
Claude 3.7 Sonnet: 18.7 (#252), Llama 3.2 90B: 20.9 (#207)
| Benchmark | Claude 3.7 Sonnet | Llama 3.2 90B |
|---|---|---|
| EnigmaEval | 4.2% | 0.4% |
| Epoch Capabilities Index | 141.16 | 125.5 |
| ARC-AGI-2 | 0.9% | — |
| SimpleBench | 46.4% | — |
| ARC-AGI-1 | 28.6% | — |
| LiveBench Reasoning | 87.8% | — |
| LMArena Hard Prompts | 1333 | — |
| LiveBench Data Analysis | 74% | — |
| ForecastBench | 61.8 | — |
| LiveBench | 76.1% | — |
Math Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 35.7 (#137), Llama 3.2 90B: 10.4 (#302)
| Benchmark | Claude 3.7 Sonnet | Llama 3.2 90B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 57.8% | 2.6% |
| MATH Level 5 | 91.2% | 39.4% |
| Omni-MATH | 33% | — |
| LiveBench Math | 79% | — |
| LMArena Math | 1336 | — |
| FrontierMath (Feb 2025 set) | 4.1% | — |
Knowledge Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 39.7 (#117), Llama 3.2 90B: 21.7 (#269)
| Benchmark | Claude 3.7 Sonnet | Llama 3.2 90B |
|---|---|---|
| GPQA Diamond | 79.7% | 41% |
| Humanity's Last Exam | 8% | — |
| MMLU-Pro | 78.4% | — |
| Confabulations | 14.7% | — |
| GPQA (HELM) | 60.8% | — |
| LMArena Expert | 1321 | — |
| MMLU | — | 80.3% |
Multimodal Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 33.1 (#90), Llama 3.2 90B: 24.9 (#119)
| Benchmark | Claude 3.7 Sonnet | Llama 3.2 90B |
|---|---|---|
| LMArena Vision | 1169 | 1000 |
| GeoBench | 68% | 52% |
| VPCT | 39% | — |
| SpatialViz-Bench | 33.9% | — |
Multilingual Not comparable
Claude 3.7 Sonnet: 44.3 (#174), Llama 3.2 90B: —
| Benchmark | Claude 3.7 Sonnet | Llama 3.2 90B |
|---|---|---|
| LMArena Non-English | 1296 | — |
| LMArena Chinese | 1299 | — |
| LMArena French | 1302 | — |
| LMArena German | 1301 | — |
| LMArena Japanese | 1268 | — |
| LMArena Korean | 1249 | — |
| LMArena Russian | 1311 | — |
| LMArena Spanish | 1299 | — |
Instruction Following Not comparable
Claude 3.7 Sonnet: 73.1 (#120), Llama 3.2 90B: —
| Benchmark | Claude 3.7 Sonnet | Llama 3.2 90B |
|---|---|---|
| LiveBench Instruction Following | 81.3% | — |
| IFEval | 83.4% | — |
| LMArena Instruction Following | 1352 | — |
Long Context Not comparable
Claude 3.7 Sonnet: 50.2 (#10), Llama 3.2 90B: —
| Benchmark | Claude 3.7 Sonnet | Llama 3.2 90B |
|---|---|---|
| Fiction.LiveBench | 83.3% | — |
| LMArena Longer Query | 1373 | — |
Writing & Preference Not comparable
Claude 3.7 Sonnet: 54.6 (#145), Llama 3.2 90B: —
| Benchmark | Claude 3.7 Sonnet | Llama 3.2 90B |
|---|---|---|
| LMArena Text | 1314 | — |
| LMArena Creative Writing | 1332 | — |
| Short-Story Creative Writing | 81.1% | — |
| EQ-Bench Creative Writing | 1412 | — |
| WildBench | 81.4% | — |
| LMArena Multi-Turn | 1339 | — |
| LiveBench Language | 59.9% | — |
Frequently asked questions
Is Claude 3.7 Sonnet better than Llama 3.2 90B?
Claude 3.7 Sonnet is the stronger model overall, scoring 39.4 to 27.1 on the Noometry Index.
How many benchmarks do Claude 3.7 Sonnet and Llama 3.2 90B share?
7 benchmarks have published results for both models. Claude 3.7 Sonnet has 58 scored results on Noometry and Llama 3.2 90B has 9.