Model comparison
Claude 3.7 Sonnet vs DeepSeek-V3.2-Speciale
Claude 3.7 Sonnet and DeepSeek-V3.2-Speciale score almost the same on the Noometry Index (39.5 vs 39.7), so choose on price, context window or the category you care about most.
Last verified . 2 shared benchmarks.
DeepSeekSummary
- They share 2 benchmarks with published results for both. Claude 3.7 Sonnet scores higher in 2 categories and DeepSeek-V3.2-Speciale in 1 category; 2 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek-V3.2-Speciale leads 32.9 to 18.6.
- The biggest single-benchmark swing is SimpleBench: 46.4% for Claude 3.7 Sonnet and 52.6% for DeepSeek-V3.2-Speciale.
- DeepSeek-V3.2-Speciale has downloadable open weights; the other is API-only.
Side by side
| Claude 3.7 Sonnet | DeepSeek-V3.2-Speciale | |
|---|---|---|
| Provider | Anthropic | DeepSeek |
| Noometry Index | 39.5 | 39.7 |
| Released | 2025-02-24 | 2025-12-01 |
| Weights | Proprietary | Open |
| Context window | — | 128K |
| Max output | — | 128K |
| Input $ / M tokens | — | $0.58 |
| Output $ / M tokens | — | $1.68 |
| Results tracked | 58 | 3 |
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Category by category
Coding Too close to call
Claude 3.7 Sonnet: 40.6 (#136), DeepSeek-V3.2-Speciale: 40.4 (#140)
| Benchmark | Claude 3.7 Sonnet | DeepSeek-V3.2-Speciale |
|---|---|---|
| SWE-bench Verified | 61% | — |
| SWE-bench Verified (bash only) | 52.8% | — |
| Aider Polyglot | 64.9% | — |
| GSO | 3.8% | — |
| WeirdML | — | 46.7% |
| LiveBench Coding | 74.5% | — |
| LMArena Coding | 1361 | — |
| CadEval | 54% | — |
Agentic & Tool Use Not comparable
Claude 3.7 Sonnet: 34.1 (#50), DeepSeek-V3.2-Speciale: —
| Benchmark | Claude 3.7 Sonnet | DeepSeek-V3.2-Speciale |
|---|---|---|
| TheAgentCompany | 30.9% | — |
| Cybench | 20% | — |
| DeepResearch Bench | 43.6% | — |
| OSWorld | 35.8% | — |
| METR Time Horizons | 60% | — |
Reasoning DeepSeek-V3.2-Speciale leads
Claude 3.7 Sonnet: 18.6 (#277), DeepSeek-V3.2-Speciale: 32.9 (#73)
| Benchmark | Claude 3.7 Sonnet | DeepSeek-V3.2-Speciale |
|---|---|---|
| SimpleBench | 46.4% | 52.6% |
| ARC-AGI-2 | 0.9% | — |
| ARC-AGI-1 | 28.6% | — |
| EnigmaEval | 4.2% | — |
| LiveBench Reasoning | 87.8% | — |
| LMArena Hard Prompts | 1333 | — |
| LiveBench Data Analysis | 74% | — |
| Epoch Capabilities Index | 141.16 | — |
| ForecastBench | 61.8 | — |
| LiveBench | 76.1% | — |
Math Not comparable
Claude 3.7 Sonnet: 37.5 (#153), DeepSeek-V3.2-Speciale: —
| Benchmark | Claude 3.7 Sonnet | DeepSeek-V3.2-Speciale |
|---|---|---|
| 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% | — |
Knowledge Not comparable
Claude 3.7 Sonnet: 39.8 (#130), DeepSeek-V3.2-Speciale: —
| Benchmark | Claude 3.7 Sonnet | DeepSeek-V3.2-Speciale |
|---|---|---|
| GPQA Diamond | 79.7% | — |
| 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: 33.7 (#95), DeepSeek-V3.2-Speciale: —
| Benchmark | Claude 3.7 Sonnet | DeepSeek-V3.2-Speciale |
|---|---|---|
| LMArena Vision | 1169 | — |
| GeoBench | 68% | — |
| VPCT | 39% | — |
| SpatialViz-Bench | 33.9% | — |
Multilingual Not comparable
Claude 3.7 Sonnet: 44.1 (#179), DeepSeek-V3.2-Speciale: —
| Benchmark | Claude 3.7 Sonnet | DeepSeek-V3.2-Speciale |
|---|---|---|
| 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-V3.2-Speciale: —
| Benchmark | Claude 3.7 Sonnet | DeepSeek-V3.2-Speciale |
|---|---|---|
| LiveBench Instruction Following | 81.3% | — |
| IFEval | 83.4% | — |
| LMArena Instruction Following | 1352 | — |
Long Context Not comparable
Claude 3.7 Sonnet: 50.3 (#10), DeepSeek-V3.2-Speciale: —
| Benchmark | Claude 3.7 Sonnet | DeepSeek-V3.2-Speciale |
|---|---|---|
| Fiction.LiveBench | 83.3% | — |
| LMArena Longer Query | 1373 | — |
Writing & Preference Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 54.4 (#150), DeepSeek-V3.2-Speciale: 46.0 (#222)
| Benchmark | Claude 3.7 Sonnet | DeepSeek-V3.2-Speciale |
|---|---|---|
| EQ-Bench Creative Writing | 1412 | 1276 |
| LMArena Text | 1314 | — |
| LMArena Creative Writing | 1332 | — |
| Short-Story Creative Writing | 81.1% | — |
| WildBench | 81.4% | — |
| LMArena Multi-Turn | 1339 | — |
| LiveBench Language | 59.9% | — |
Frequently asked questions
Is Claude 3.7 Sonnet better than DeepSeek-V3.2-Speciale?
Claude 3.7 Sonnet and DeepSeek-V3.2-Speciale score almost the same on the Noometry Index (39.5 vs 39.7), so choose on price, context window or the category you care about most.
Is Claude 3.7 Sonnet or DeepSeek-V3.2-Speciale better for coding?
They score almost the same on coding (40.6 vs 40.4); test both on your own repository before choosing.
How many benchmarks do Claude 3.7 Sonnet and DeepSeek-V3.2-Speciale share?
2 benchmarks have published results for both models. Claude 3.7 Sonnet has 58 scored results on Noometry and DeepSeek-V3.2-Speciale has 3.