Model comparison
Claude 3.7 Sonnet vs Llama 3.2 3B
Claude 3.7 Sonnet is the stronger model overall, scoring 39.5 to 28.9 on the Noometry Index.
Last verified . 14 shared benchmarks.
MetaSummary
- They share 14 benchmarks with published results for both. Claude 3.7 Sonnet scores higher in 8 categories and Llama 3.2 3B in 1 category; 9 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Claude 3.7 Sonnet leads 54.4 to 24.7.
- Llama 3.2 3B has downloadable open weights; the other is API-only.
Side by side
| Claude 3.7 Sonnet | Llama 3.2 3B | |
|---|---|---|
| Provider | Anthropic | Meta |
| Noometry Index | 39.5 | 28.9 |
| Released | 2025-02-24 | 2024-09-24 |
| Weights | Proprietary | Open |
| Context window | — | 131K |
| Max output | — | 118K |
| Input $ / M tokens | — | $0.05 |
| Output $ / M tokens | — | $0.33 |
| Results tracked | 58 | 18 |
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Category by category
Coding Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 40.6 (#136), Llama 3.2 3B: 27.6 (#319)
| Benchmark | Claude 3.7 Sonnet | Llama 3.2 3B |
|---|---|---|
| LMArena Coding | 1361 | 1098 |
| SWE-bench Verified | 61% | — |
| SWE-bench Verified (bash only) | 52.8% | — |
| Aider Polyglot | 64.9% | — |
| GSO | 3.8% | — |
| BigCodeBench Instruct | — | 23.4% |
| LiveBench Coding | 74.5% | — |
| BigCodeBench Complete | — | 28.3% |
| CadEval | 54% | — |
Agentic & Tool Use Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 34.1 (#50), Llama 3.2 3B: 20.1 (#143)
| Benchmark | Claude 3.7 Sonnet | Llama 3.2 3B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 21.9% |
| TheAgentCompany | 30.9% | — |
| Cybench | 20% | — |
| DeepResearch Bench | 43.6% | — |
| OSWorld | 35.8% | — |
| BALROG | — | 10.1% |
| METR Time Horizons | 60% | — |
Reasoning Llama 3.2 3B leads
Claude 3.7 Sonnet: 18.6 (#277), Llama 3.2 3B: 21.0 (#228)
| Benchmark | Claude 3.7 Sonnet | Llama 3.2 3B |
|---|---|---|
| LMArena Hard Prompts | 1333 | 1095 |
| ARC-AGI-2 | 0.9% | — |
| SimpleBench | 46.4% | — |
| ARC-AGI-1 | 28.6% | — |
| EnigmaEval | 4.2% | — |
| LiveBench Reasoning | 87.8% | — |
| LiveBench Data Analysis | 74% | — |
| Epoch Capabilities Index | 141.16 | — |
| ForecastBench | 61.8 | — |
| LiveBench | 76.1% | — |
Math Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 37.5 (#153), Llama 3.2 3B: 32.4 (#214)
| Benchmark | Claude 3.7 Sonnet | Llama 3.2 3B |
|---|---|---|
| LMArena Math | 1337 | 1126 |
| OTIS Mock AIME 2024-2025 | 57.8% | — |
| Omni-MATH | 33% | — |
| LiveBench Math | 79% | — |
| MATH Level 5 | 91.2% | — |
| FrontierMath (Feb 2025 set) | 4.1% | — |
Knowledge Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 39.8 (#130), Llama 3.2 3B: 29.7 (#235)
| Benchmark | Claude 3.7 Sonnet | Llama 3.2 3B |
|---|---|---|
| LMArena Expert | 1321 | 1090 |
| GPQA Diamond | 79.7% | — |
| Humanity's Last Exam | 8% | — |
| MMLU-Pro | 78.4% | — |
| Confabulations | 14.7% | — |
| GPQA (HELM) | 60.8% | — |
Multimodal Not comparable
Claude 3.7 Sonnet: 33.7 (#95), Llama 3.2 3B: —
| Benchmark | Claude 3.7 Sonnet | Llama 3.2 3B |
|---|---|---|
| LMArena Vision | 1169 | — |
| GeoBench | 68% | — |
| VPCT | 39% | — |
| SpatialViz-Bench | 33.9% | — |
Multilingual Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 44.1 (#179), Llama 3.2 3B: 26.2 (#281)
| Benchmark | Claude 3.7 Sonnet | Llama 3.2 3B |
|---|---|---|
| LMArena Non-English | 1296 | 1019 |
| LMArena Chinese | 1299 | 1017 |
| LMArena German | 1301 | 1056 |
| LMArena Russian | 1311 | 949 |
| LMArena French | 1303 | — |
| LMArena Japanese | 1267 | — |
| LMArena Korean | 1249 | — |
| LMArena Spanish | 1298 | — |
Instruction Following Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 72.9 (#125), Llama 3.2 3B: 56.0 (#275)
| Benchmark | Claude 3.7 Sonnet | Llama 3.2 3B |
|---|---|---|
| LMArena Instruction Following | 1352 | 1089 |
| LiveBench Instruction Following | 81.3% | — |
| IFEval | 83.4% | — |
Long Context Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 50.3 (#10), Llama 3.2 3B: 33.4 (#261)
| Benchmark | Claude 3.7 Sonnet | Llama 3.2 3B |
|---|---|---|
| LMArena Longer Query | 1373 | 1100 |
| Fiction.LiveBench | 83.3% | — |
Writing & Preference Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 54.4 (#150), Llama 3.2 3B: 24.7 (#307)
| Benchmark | Claude 3.7 Sonnet | Llama 3.2 3B |
|---|---|---|
| LMArena Text | 1314 | 1110 |
| LMArena Creative Writing | 1332 | 1094 |
| EQ-Bench Creative Writing | 1412 | 595 |
| LMArena Multi-Turn | 1339 | 1105 |
| Short-Story Creative Writing | 81.1% | — |
| WildBench | 81.4% | — |
| LiveBench Language | 59.9% | — |
Frequently asked questions
Is Claude 3.7 Sonnet better than Llama 3.2 3B?
Claude 3.7 Sonnet is the stronger model overall, scoring 39.5 to 28.9 on the Noometry Index.
Is Claude 3.7 Sonnet or Llama 3.2 3B better for coding?
Claude 3.7 Sonnet scores higher on coding benchmarks: 40.6 versus 27.6 in the Noometry coding category.
How many benchmarks do Claude 3.7 Sonnet and Llama 3.2 3B share?
14 benchmarks have published results for both models. Claude 3.7 Sonnet has 58 scored results on Noometry and Llama 3.2 3B has 18.