Model comparison
Claude 3.5 Sonnet vs DeepSeek-V2 (MoE-236B, May 2024)
Claude 3.5 Sonnet has enough public results to be ranked (#225); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.
Last verified . 4 shared benchmarks.
DeepSeekSummary
- They share 4 benchmarks with published results for both. Claude 3.5 Sonnet scores higher in 0 categories and DeepSeek-V2 (MoE-236B, May 2024) in 1 category, but none of those gaps is larger than the uncertainty.
- DeepSeek-V2 (MoE-236B, May 2024) has downloadable open weights; the other is API-only.
Side by side
| Claude 3.5 Sonnet | DeepSeek-V2 (MoE-236B, May 2024) | |
|---|---|---|
| Provider | Anthropic | DeepSeek |
| Noometry Index | 34.4 | 39.7 |
| Released | 2024-06-20 | 2024-05-07 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 60 | 10 |
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Category by category
Coding Too close to call
Claude 3.5 Sonnet: 39.5 (#145), DeepSeek-V2 (MoE-236B, May 2024): 39.8 (#141)
| Benchmark | Claude 3.5 Sonnet | DeepSeek-V2 (MoE-236B, May 2024) |
|---|---|---|
| BigCodeBench Instruct | 46.8% | 48.9% |
| BigCodeBench Complete | 58.6% | 59.4% |
| Aider Polyglot | 51.6% | — |
| GSO | 4.6% | — |
| WeirdML | 40% | — |
| LiveBench Coding | 67.1% | — |
| LMArena Coding | 1343 | — |
| CadEval | 48% | — |
| HumanEval+ | 81.7% | — |
| MBPP+ | 74.3% | — |
Agentic & Tool Use Not comparable
Claude 3.5 Sonnet: 32.1 (#61), DeepSeek-V2 (MoE-236B, May 2024): —
| Benchmark | Claude 3.5 Sonnet | DeepSeek-V2 (MoE-236B, May 2024) |
|---|---|---|
| TheAgentCompany | 24% | — |
| Cybench | 17.5% | — |
| BALROG | 32.6% | — |
| METR Time Horizons | 45.2% | — |
Reasoning Not comparable
Claude 3.5 Sonnet: 22.5 (#176), DeepSeek-V2 (MoE-236B, May 2024): —
| Benchmark | Claude 3.5 Sonnet | DeepSeek-V2 (MoE-236B, May 2024) |
|---|---|---|
| Epoch Capabilities Index | 133.55 | 124.78 |
| SimpleBench | 41.4% | — |
| EnigmaEval | 0.9% | — |
| LiveBench Reasoning | 56.7% | — |
| LMArena Hard Prompts | 1305 | — |
| DTBench | 67.8% | — |
| LiveBench Data Analysis | 55% | — |
| BIG-Bench Hard | — | 78.8% |
| ForecastBench | 60.7 | — |
| HellaSwag | — | 87.1% |
| LiveBench | 59% | — |
| PIQA | — | 83.9% |
| WinoGrande | — | 86.3% |
Math Not comparable
Claude 3.5 Sonnet: 18.0 (#282), DeepSeek-V2 (MoE-236B, May 2024): —
| Benchmark | Claude 3.5 Sonnet | DeepSeek-V2 (MoE-236B, May 2024) |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 8.5% | — |
| Omni-MATH | 27.6% | — |
| LiveBench Math | 52.3% | — |
| LMArena Math | 1306 | — |
| MATH Level 5 | 56.9% | — |
| FrontierMath (Feb 2025 set) | 2.1% | — |
| FrontierMath Tier 4 (v1) | 0% | — |
Knowledge Not comparable
Claude 3.5 Sonnet: 28.5 (#236), DeepSeek-V2 (MoE-236B, May 2024): —
| Benchmark | Claude 3.5 Sonnet | DeepSeek-V2 (MoE-236B, May 2024) |
|---|---|---|
| MMLU | 87.3% | 78.4% |
| GPQA Diamond | 55.3% | — |
| Humanity's Last Exam | 4.1% | — |
| MMLU-Pro | 77.7% | — |
| Confabulations | 19.9% | — |
| GPQA (HELM) | 56.5% | — |
| LMArena Expert | 1264 | — |
| ARC (AI2) Challenge | — | 92.2% |
| TriviaQA | — | 80% |
Multimodal Not comparable
Claude 3.5 Sonnet: 26.0 (#115), DeepSeek-V2 (MoE-236B, May 2024): —
| Benchmark | Claude 3.5 Sonnet | DeepSeek-V2 (MoE-236B, May 2024) |
|---|---|---|
| LMArena Vision | 1125 | — |
| Video-MME | 60% | — |
| GeoBench | 62% | — |
| VPCT | 33% | — |
Multilingual Not comparable
Claude 3.5 Sonnet: 43.4 (#180), DeepSeek-V2 (MoE-236B, May 2024): —
| Benchmark | Claude 3.5 Sonnet | DeepSeek-V2 (MoE-236B, May 2024) |
|---|---|---|
| LMArena Non-English | 1283 | — |
| LMArena Chinese | 1271 | — |
| LMArena French | 1304 | — |
| LMArena German | 1297 | — |
| LMArena Japanese | 1234 | — |
| LMArena Korean | 1200 | — |
| LMArena Russian | 1305 | — |
| LMArena Spanish | 1289 | — |
Instruction Following Not comparable
Claude 3.5 Sonnet: 69.0 (#177), DeepSeek-V2 (MoE-236B, May 2024): —
| Benchmark | Claude 3.5 Sonnet | DeepSeek-V2 (MoE-236B, May 2024) |
|---|---|---|
| LiveBench Instruction Following | 69.3% | — |
| IFEval | 85.5% | — |
| LMArena Instruction Following | 1297 | — |
Long Context Not comparable
Claude 3.5 Sonnet: 39.9 (#162), DeepSeek-V2 (MoE-236B, May 2024): —
| Benchmark | Claude 3.5 Sonnet | DeepSeek-V2 (MoE-236B, May 2024) |
|---|---|---|
| LMArena Longer Query | 1311 | — |
Writing & Preference Not comparable
Claude 3.5 Sonnet: 53.0 (#159), DeepSeek-V2 (MoE-236B, May 2024): —
| Benchmark | Claude 3.5 Sonnet | DeepSeek-V2 (MoE-236B, May 2024) |
|---|---|---|
| LMArena Text | 1298 | — |
| LMArena Creative Writing | 1292 | — |
| Short-Story Creative Writing | 80.3% | — |
| EQ-Bench Creative Writing | 1451 | — |
| WildBench | 79.2% | — |
| LMArena Multi-Turn | 1326 | — |
| LiveBench Language | 53.8% | — |
Frequently asked questions
Is Claude 3.5 Sonnet better than DeepSeek-V2 (MoE-236B, May 2024)?
Claude 3.5 Sonnet has enough public results to be ranked (#225); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.
Is Claude 3.5 Sonnet or DeepSeek-V2 (MoE-236B, May 2024) better for coding?
They score almost the same on coding (39.5 vs 39.8); test both on your own repository before choosing.
How many benchmarks do Claude 3.5 Sonnet and DeepSeek-V2 (MoE-236B, May 2024) share?
4 benchmarks have published results for both models. Claude 3.5 Sonnet has 60 scored results on Noometry and DeepSeek-V2 (MoE-236B, May 2024) has 10.