Model comparison
Claude 3.7 Sonnet vs DeepSeek Coder 6.7B
Claude 3.7 Sonnet has enough public results to be ranked (#164); DeepSeek Coder 6.7B does not yet, so treat this comparison as directional.
Last verified . 1 shared benchmarks.
DeepSeekSummary
- They share 1 benchmark with published results for both. Claude 3.7 Sonnet scores higher in 1 category and DeepSeek Coder 6.7B in 0 categories; one gap is clear of the uncertainty.
- The widest gap is in coding, where Claude 3.7 Sonnet leads 40.6 to 35.8.
- DeepSeek Coder 6.7B has downloadable open weights; the other is API-only.
Side by side
| Claude 3.7 Sonnet | DeepSeek Coder 6.7B | |
|---|---|---|
| Provider | Anthropic | DeepSeek |
| Noometry Index | 39.5 | 37.6 |
| 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: 40.6 (#136), DeepSeek Coder 6.7B: 35.8 (#219)
| Benchmark | Claude 3.7 Sonnet | DeepSeek Coder 6.7B |
|---|---|---|
| SWE-bench Verified | 61% | — |
| SWE-bench Verified (bash only) | 52.8% | — |
| Aider Polyglot | 64.9% | — |
| GSO | 3.8% | — |
| BigCodeBench Instruct | — | 35.5% |
| LiveBench Coding | 74.5% | — |
| LMArena Coding | 1361 | — |
| BigCodeBench Complete | — | 43.8% |
| CadEval | 54% | — |
| HumanEval+ | — | 71.3% |
| MBPP+ | — | 65.6% |
Agentic & Tool Use Not comparable
Claude 3.7 Sonnet: 34.1 (#50), DeepSeek Coder 6.7B: —
| Benchmark | Claude 3.7 Sonnet | DeepSeek Coder 6.7B |
|---|---|---|
| TheAgentCompany | 30.9% | — |
| Cybench | 20% | — |
| DeepResearch Bench | 43.6% | — |
| OSWorld | 35.8% | — |
| METR Time Horizons | 60% | — |
Reasoning Not comparable
Claude 3.7 Sonnet: 18.6 (#277), DeepSeek Coder 6.7B: —
| Benchmark | Claude 3.7 Sonnet | DeepSeek Coder 6.7B |
|---|---|---|
| Epoch Capabilities Index | 141.16 | 89.62 |
| 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 | — | 57.6% |
Math Not comparable
Claude 3.7 Sonnet: 37.5 (#153), DeepSeek Coder 6.7B: —
| Benchmark | Claude 3.7 Sonnet | DeepSeek Coder 6.7B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 57.8% | — |
| Omni-MATH | 33% | — |
| LiveBench Math | 79% | — |
| LMArena Math | 1337 | — |
| MATH Level 5 | 91.2% | — |
| FrontierMath (Feb 2025 set) | 4.1% | — |
| GSM8K | — | 21.3% |
Knowledge Not comparable
Claude 3.7 Sonnet: 39.8 (#130), DeepSeek Coder 6.7B: —
| Benchmark | Claude 3.7 Sonnet | DeepSeek Coder 6.7B |
|---|---|---|
| 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 | — | 36.4% |
| MMLU | — | 36.4% |
Multimodal Not comparable
Claude 3.7 Sonnet: 33.7 (#95), DeepSeek Coder 6.7B: —
| Benchmark | Claude 3.7 Sonnet | DeepSeek Coder 6.7B |
|---|---|---|
| LMArena Vision | 1169 | — |
| GeoBench | 68% | — |
| VPCT | 39% | — |
| SpatialViz-Bench | 33.9% | — |
Multilingual Not comparable
Claude 3.7 Sonnet: 44.1 (#179), DeepSeek Coder 6.7B: —
| Benchmark | Claude 3.7 Sonnet | DeepSeek Coder 6.7B |
|---|---|---|
| LMArena Non-English | 1296 | — |
| LMArena Chinese | 1299 | — |
| LMArena French | 1303 | — |
| LMArena German | 1301 | — |
| LMArena Japanese | 1267 | — |
| LMArena Korean | 1249 | — |
| LMArena Russian | 1311 | — |
| LMArena Spanish | 1298 | — |
Instruction Following Not comparable
Claude 3.7 Sonnet: 72.9 (#125), DeepSeek Coder 6.7B: —
| Benchmark | Claude 3.7 Sonnet | DeepSeek Coder 6.7B |
|---|---|---|
| LiveBench Instruction Following | 81.3% | — |
| IFEval | 83.4% | — |
| LMArena Instruction Following | 1352 | — |
Long Context Not comparable
Claude 3.7 Sonnet: 50.3 (#10), DeepSeek Coder 6.7B: —
| Benchmark | Claude 3.7 Sonnet | DeepSeek Coder 6.7B |
|---|---|---|
| Fiction.LiveBench | 83.3% | — |
| LMArena Longer Query | 1373 | — |
Writing & Preference Not comparable
Claude 3.7 Sonnet: 54.4 (#150), DeepSeek Coder 6.7B: —
| Benchmark | Claude 3.7 Sonnet | DeepSeek Coder 6.7B |
|---|---|---|
| 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 6.7B?
Claude 3.7 Sonnet has enough public results to be ranked (#164); DeepSeek Coder 6.7B does not yet, so treat this comparison as directional.
Is Claude 3.7 Sonnet or DeepSeek Coder 6.7B better for coding?
Claude 3.7 Sonnet scores higher on coding benchmarks: 40.6 versus 35.8 in the Noometry coding category.
How many benchmarks do Claude 3.7 Sonnet and DeepSeek Coder 6.7B share?
1 benchmark has published results for both models. Claude 3.7 Sonnet has 58 scored results on Noometry and DeepSeek Coder 6.7B has 9.