Model comparison
Claude 3.7 Sonnet vs Deepseek Coder v2
Claude 3.7 Sonnet is the stronger model overall, scoring 39.5 to 35.9 on the Noometry Index.
Last verified . 17 shared benchmarks.
DeepSeekSummary
- They share 17 benchmarks with published results for both. Claude 3.7 Sonnet scores higher in 7 categories and Deepseek Coder v2 in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Claude 3.7 Sonnet leads 54.4 to 38.2.
- Deepseek Coder v2 has downloadable open weights; the other is API-only.
Side by side
| Claude 3.7 Sonnet | Deepseek Coder v2 | |
|---|---|---|
| Provider | Anthropic | DeepSeek |
| Noometry Index | 39.5 | 35.9 |
| Released | 2025-02-24 | 2024-06-17 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 58 | 24 |
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Category by category
Coding Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 40.6 (#136), Deepseek Coder v2: 38.1 (#183)
| Benchmark | Claude 3.7 Sonnet | Deepseek Coder v2 |
|---|---|---|
| LMArena Coding | 1361 | 1251 |
| SWE-bench Verified | 61% | — |
| SWE-bench Verified (bash only) | 52.8% | — |
| Aider Polyglot | 64.9% | — |
| GSO | 3.8% | — |
| BigCodeBench Instruct | — | 48.2% |
| LiveBench Coding | 74.5% | — |
| BigCodeBench Complete | — | 59.7% |
| CadEval | 54% | — |
| HumanEval+ | — | 82.3% |
| MBPP+ | — | 75.1% |
Agentic & Tool Use Not comparable
Claude 3.7 Sonnet: 34.1 (#50), Deepseek Coder v2: —
| Benchmark | Claude 3.7 Sonnet | Deepseek Coder v2 |
|---|---|---|
| TheAgentCompany | 30.9% | — |
| Cybench | 20% | — |
| DeepResearch Bench | 43.6% | — |
| OSWorld | 35.8% | — |
| METR Time Horizons | 60% | — |
Reasoning Deepseek Coder v2 leads
Claude 3.7 Sonnet: 18.6 (#277), Deepseek Coder v2: 23.6 (#176)
| Benchmark | Claude 3.7 Sonnet | Deepseek Coder v2 |
|---|---|---|
| LMArena Hard Prompts | 1333 | 1207 |
| 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% | — |
| WinoGrande | — | 83.7% |
Math Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 37.5 (#153), Deepseek Coder v2: 34.9 (#190)
| Benchmark | Claude 3.7 Sonnet | Deepseek Coder v2 |
|---|---|---|
| LMArena Math | 1337 | 1241 |
| 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 | — | 94.5% |
Knowledge Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 39.8 (#130), Deepseek Coder v2: 32.3 (#212)
| Benchmark | Claude 3.7 Sonnet | Deepseek Coder v2 |
|---|---|---|
| LMArena Expert | 1321 | 1181 |
| GPQA Diamond | 79.7% | — |
| Humanity's Last Exam | 8% | — |
| MMLU-Pro | 78.4% | — |
| Confabulations | 14.7% | — |
| GPQA (HELM) | 60.8% | — |
| ARC (AI2) Challenge | — | 64.3% |
Multimodal Not comparable
Claude 3.7 Sonnet: 33.7 (#95), Deepseek Coder v2: —
| Benchmark | Claude 3.7 Sonnet | Deepseek Coder v2 |
|---|---|---|
| LMArena Vision | 1169 | — |
| GeoBench | 68% | — |
| VPCT | 39% | — |
| SpatialViz-Bench | 33.9% | — |
Multilingual Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 44.1 (#179), Deepseek Coder v2: 36.3 (#240)
| Benchmark | Claude 3.7 Sonnet | Deepseek Coder v2 |
|---|---|---|
| LMArena Non-English | 1296 | 1182 |
| LMArena Chinese | 1299 | 1201 |
| LMArena French | 1303 | 1185 |
| LMArena German | 1301 | 1164 |
| LMArena Japanese | 1267 | 1126 |
| LMArena Korean | 1249 | 1104 |
| LMArena Russian | 1311 | 1188 |
| LMArena Spanish | 1298 | 1153 |
Instruction Following Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 72.9 (#125), Deepseek Coder v2: 61.7 (#242)
| Benchmark | Claude 3.7 Sonnet | Deepseek Coder v2 |
|---|---|---|
| LMArena Instruction Following | 1352 | 1180 |
| LiveBench Instruction Following | 81.3% | — |
| IFEval | 83.4% | — |
Long Context Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 50.3 (#10), Deepseek Coder v2: 37.0 (#224)
| Benchmark | Claude 3.7 Sonnet | Deepseek Coder v2 |
|---|---|---|
| LMArena Longer Query | 1373 | 1219 |
| Fiction.LiveBench | 83.3% | — |
Writing & Preference Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 54.4 (#150), Deepseek Coder v2: 38.2 (#253)
| Benchmark | Claude 3.7 Sonnet | Deepseek Coder v2 |
|---|---|---|
| LMArena Text | 1314 | 1191 |
| LMArena Creative Writing | 1332 | 1120 |
| LMArena Multi-Turn | 1339 | 1177 |
| 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 Deepseek Coder v2?
Claude 3.7 Sonnet is the stronger model overall, scoring 39.5 to 35.9 on the Noometry Index.
Is Claude 3.7 Sonnet or Deepseek Coder v2 better for coding?
Claude 3.7 Sonnet scores higher on coding benchmarks: 40.6 versus 38.1 in the Noometry coding category.
How many benchmarks do Claude 3.7 Sonnet and Deepseek Coder v2 share?
17 benchmarks have published results for both models. Claude 3.7 Sonnet has 58 scored results on Noometry and Deepseek Coder v2 has 24.