Model comparison
Claude 3.7 Sonnet vs DeepSeek LLM 67B
Claude 3.7 Sonnet is the stronger model overall, scoring 39.4 to 24.8 on the Noometry Index.
Last verified . 14 shared benchmarks.
DeepSeekSummary
- They share 14 benchmarks with published results for both. Claude 3.7 Sonnet scores higher in 8 categories and DeepSeek LLM 67B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Claude 3.7 Sonnet leads 39.7 to 7.1.
- The biggest single-benchmark swing is MATH Level 5: 91.2% for Claude 3.7 Sonnet and 6.4% for DeepSeek LLM 67B.
- DeepSeek LLM 67B has downloadable open weights; the other is API-only.
Side by side
| Claude 3.7 Sonnet | DeepSeek LLM 67B | |
|---|---|---|
| Provider | Anthropic | DeepSeek |
| Noometry Index | 39.4 | 24.8 |
| Released | 2025-02-24 | 2023-11-29 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 58 | 15 |
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Category by category
Coding Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 41.1 (#120), DeepSeek LLM 67B: 31.3 (#273)
| Benchmark | Claude 3.7 Sonnet | DeepSeek LLM 67B |
|---|---|---|
| LMArena Coding | 1361 | 1096 |
| SWE-bench Verified | 61% | — |
| SWE-bench Verified (bash only) | 52.8% | — |
| Aider Polyglot | 64.9% | — |
| GSO | 3.8% | — |
| LiveBench Coding | 74.5% | — |
| CadEval | 54% | — |
Agentic & Tool Use Not comparable
Claude 3.7 Sonnet: 33.9 (#46), DeepSeek LLM 67B: —
| Benchmark | Claude 3.7 Sonnet | DeepSeek LLM 67B |
|---|---|---|
| TheAgentCompany | 30.9% | — |
| Cybench | 20% | — |
| DeepResearch Bench | 43.6% | — |
| OSWorld | 35.8% | — |
| METR Time Horizons | 60% | — |
Reasoning Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 18.7 (#252), DeepSeek LLM 67B: 15.9 (#300)
| Benchmark | Claude 3.7 Sonnet | DeepSeek LLM 67B |
|---|---|---|
| LMArena Hard Prompts | 1333 | 1070 |
| Epoch Capabilities Index | 141.16 | 110.54 |
| ARC-AGI-2 | 0.9% | — |
| SimpleBench | 46.4% | — |
| ARC-AGI-1 | 28.6% | — |
| Chess Puzzles | — | 0% |
| EnigmaEval | 4.2% | — |
| LiveBench Reasoning | 87.8% | — |
| LiveBench Data Analysis | 74% | — |
| ForecastBench | 61.8 | — |
| LiveBench | 76.1% | — |
Math Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 35.7 (#137), DeepSeek LLM 67B: 8.1 (#318)
| Benchmark | Claude 3.7 Sonnet | DeepSeek LLM 67B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 57.8% | 0.8% |
| LMArena Math | 1336 | 1108 |
| MATH Level 5 | 91.2% | 6.4% |
| Omni-MATH | 33% | — |
| LiveBench Math | 79% | — |
| FrontierMath (Feb 2025 set) | 4.1% | — |
Knowledge Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 39.7 (#117), DeepSeek LLM 67B: 7.1 (#308)
| Benchmark | Claude 3.7 Sonnet | DeepSeek LLM 67B |
|---|---|---|
| GPQA Diamond | 79.7% | 24.6% |
| Humanity's Last Exam | 8% | — |
| MMLU-Pro | 78.4% | — |
| Confabulations | 14.7% | — |
| GPQA (HELM) | 60.8% | — |
| LMArena Expert | 1321 | — |
Multimodal Not comparable
Claude 3.7 Sonnet: 33.1 (#90), DeepSeek LLM 67B: —
| Benchmark | Claude 3.7 Sonnet | DeepSeek LLM 67B |
|---|---|---|
| LMArena Vision | 1169 | — |
| GeoBench | 68% | — |
| VPCT | 39% | — |
| SpatialViz-Bench | 33.9% | — |
Multilingual Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 44.3 (#174), DeepSeek LLM 67B: 29.5 (#262)
| Benchmark | Claude 3.7 Sonnet | DeepSeek LLM 67B |
|---|---|---|
| LMArena Non-English | 1296 | 1073 |
| LMArena Chinese | 1299 | 1132 |
| LMArena French | 1302 | — |
| LMArena German | 1301 | — |
| LMArena Japanese | 1268 | — |
| LMArena Korean | 1249 | — |
| LMArena Russian | 1311 | — |
| LMArena Spanish | 1299 | — |
Instruction Following Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 73.1 (#120), DeepSeek LLM 67B: 55.7 (#272)
| Benchmark | Claude 3.7 Sonnet | DeepSeek LLM 67B |
|---|---|---|
| LMArena Instruction Following | 1352 | 1079 |
| LiveBench Instruction Following | 81.3% | — |
| IFEval | 83.4% | — |
Long Context Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 50.2 (#10), DeepSeek LLM 67B: 33.1 (#260)
| Benchmark | Claude 3.7 Sonnet | DeepSeek LLM 67B |
|---|---|---|
| LMArena Longer Query | 1373 | 1092 |
| Fiction.LiveBench | 83.3% | — |
Writing & Preference Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 54.6 (#145), DeepSeek LLM 67B: 31.8 (#277)
| Benchmark | Claude 3.7 Sonnet | DeepSeek LLM 67B |
|---|---|---|
| LMArena Text | 1314 | 1105 |
| LMArena Creative Writing | 1332 | 1067 |
| LMArena Multi-Turn | 1339 | 1082 |
| 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 LLM 67B?
Claude 3.7 Sonnet is the stronger model overall, scoring 39.4 to 24.8 on the Noometry Index.
Is Claude 3.7 Sonnet or DeepSeek LLM 67B better for coding?
Claude 3.7 Sonnet scores higher on coding benchmarks: 41.1 versus 31.3 in the Noometry coding category.
How many benchmarks do Claude 3.7 Sonnet and DeepSeek LLM 67B share?
14 benchmarks have published results for both models. Claude 3.7 Sonnet has 58 scored results on Noometry and DeepSeek LLM 67B has 15.