Model comparison
Claude 3.7 Sonnet vs DeepSeek Coder 33B
Claude 3.7 Sonnet has enough public results to be ranked (#154); DeepSeek Coder 33B does not yet, so treat this comparison as directional.
Last verified . 1 shared benchmarks.
Summary
- They share 1 benchmark with published results for both. Claude 3.7 Sonnet scores higher in 1 category and DeepSeek Coder 33B in 0 categories; one gap is clear of the uncertainty.
- The widest gap is in coding, where Claude 3.7 Sonnet leads 41.1 to 37.4.
- DeepSeek Coder 33B has downloadable open weights; the other is API-only.
Side by side
| Claude 3.7 Sonnet | DeepSeek Coder 33B | |
|---|---|---|
| Provider | Anthropic | DeepSeek |
| Noometry Index | 39.4 | 38.3 |
| Released | 2025-02-24 | 2023-11-02 |
| 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 Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 41.1 (#120), DeepSeek Coder 33B: 37.4 (#180)
| Benchmark | Claude 3.7 Sonnet | DeepSeek Coder 33B |
|---|---|---|
| SWE-bench Verified | 61% | — |
| SWE-bench Verified (bash only) | 52.8% | — |
| Aider Polyglot | 64.9% | — |
| GSO | 3.8% | — |
| BigCodeBench Instruct | — | 42% |
| LiveBench Coding | 74.5% | — |
| LMArena Coding | 1361 | — |
| BigCodeBench Complete | — | 51.1% |
| CadEval | 54% | — |
| HumanEval+ | — | 75% |
| MBPP+ | — | 70.1% |
Agentic & Tool Use Not comparable
Claude 3.7 Sonnet: 33.9 (#46), DeepSeek Coder 33B: —
| Benchmark | Claude 3.7 Sonnet | DeepSeek Coder 33B |
|---|---|---|
| TheAgentCompany | 30.9% | — |
| Cybench | 20% | — |
| DeepResearch Bench | 43.6% | — |
| OSWorld | 35.8% | — |
| METR Time Horizons | 60% | — |
Reasoning Not comparable
Claude 3.7 Sonnet: 18.7 (#252), DeepSeek Coder 33B: —
| Benchmark | Claude 3.7 Sonnet | DeepSeek Coder 33B |
|---|---|---|
| Epoch Capabilities Index | 141.16 | 95.74 |
| ARC-AGI-2 | 0.9% | — |
| SimpleBench | 46.4% | — |
| ARC-AGI-1 | 28.6% | — |
| EnigmaEval | 4.2% | — |
| LiveBench Reasoning | 87.8% | — |
| LMArena Hard Prompts | 1333 | — |
| LiveBench Data Analysis | 74% | — |
| ForecastBench | 61.8 | — |
| LiveBench | 76.1% | — |
| WinoGrande | — | 62% |
Math Not comparable
Claude 3.7 Sonnet: 35.7 (#137), DeepSeek Coder 33B: —
| Benchmark | Claude 3.7 Sonnet | DeepSeek Coder 33B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 57.8% | — |
| Omni-MATH | 33% | — |
| LiveBench Math | 79% | — |
| LMArena Math | 1336 | — |
| MATH Level 5 | 91.2% | — |
| FrontierMath (Feb 2025 set) | 4.1% | — |
| GSM8K | — | 35.4% |
Knowledge Not comparable
Claude 3.7 Sonnet: 39.7 (#117), DeepSeek Coder 33B: —
| Benchmark | Claude 3.7 Sonnet | DeepSeek Coder 33B |
|---|---|---|
| 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 | — | 42.2% |
| MMLU | — | 39.4% |
Multimodal Not comparable
Claude 3.7 Sonnet: 33.1 (#90), DeepSeek Coder 33B: —
| Benchmark | Claude 3.7 Sonnet | DeepSeek Coder 33B |
|---|---|---|
| LMArena Vision | 1169 | — |
| GeoBench | 68% | — |
| VPCT | 39% | — |
| SpatialViz-Bench | 33.9% | — |
Multilingual Not comparable
Claude 3.7 Sonnet: 44.3 (#174), DeepSeek Coder 33B: —
| Benchmark | Claude 3.7 Sonnet | DeepSeek Coder 33B |
|---|---|---|
| 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), DeepSeek Coder 33B: —
| Benchmark | Claude 3.7 Sonnet | DeepSeek Coder 33B |
|---|---|---|
| LiveBench Instruction Following | 81.3% | — |
| IFEval | 83.4% | — |
| LMArena Instruction Following | 1352 | — |
Long Context Not comparable
Claude 3.7 Sonnet: 50.2 (#10), DeepSeek Coder 33B: —
| Benchmark | Claude 3.7 Sonnet | DeepSeek Coder 33B |
|---|---|---|
| Fiction.LiveBench | 83.3% | — |
| LMArena Longer Query | 1373 | — |
Writing & Preference Not comparable
Claude 3.7 Sonnet: 54.6 (#145), DeepSeek Coder 33B: —
| Benchmark | Claude 3.7 Sonnet | DeepSeek Coder 33B |
|---|---|---|
| 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 DeepSeek Coder 33B?
Claude 3.7 Sonnet has enough public results to be ranked (#154); DeepSeek Coder 33B does not yet, so treat this comparison as directional.
Is Claude 3.7 Sonnet or DeepSeek Coder 33B better for coding?
Claude 3.7 Sonnet scores higher on coding benchmarks: 41.1 versus 37.4 in the Noometry coding category.
How many benchmarks do Claude 3.7 Sonnet and DeepSeek Coder 33B share?
1 benchmark has published results for both models. Claude 3.7 Sonnet has 58 scored results on Noometry and DeepSeek Coder 33B has 9.