Model comparison
Claude Sonnet 4.6 vs DeepSeek-V2 (MoE-236B, May 2024)
Claude Sonnet 4.6 has enough public results to be ranked (#42); DeepSeek-V2 (MoE-236B, May 2024) 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 Sonnet 4.6 scores higher in 1 category and DeepSeek-V2 (MoE-236B, May 2024) in 0 categories; one gap is clear of the uncertainty.
- The widest gap is in coding, where Claude Sonnet 4.6 leads 46.0 to 39.8.
- DeepSeek-V2 (MoE-236B, May 2024) has downloadable open weights; the other is API-only.
Side by side
| Claude Sonnet 4.6 | DeepSeek-V2 (MoE-236B, May 2024) | |
|---|---|---|
| Provider | Anthropic | DeepSeek |
| Noometry Index | 50.1 | 39.7 |
| Released | 2026-02-17 | 2024-05-07 |
| Weights | Proprietary | Open |
| Context window | 1M | — |
| Max output | 128K | — |
| Input $ / M tokens | $3 | — |
| Output $ / M tokens | $15 | — |
| Results tracked | 57 | 10 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 46.0 (#62), DeepSeek-V2 (MoE-236B, May 2024): 39.8 (#141)
| Benchmark | Claude Sonnet 4.6 | DeepSeek-V2 (MoE-236B, May 2024) |
|---|---|---|
| SWE-bench Verified | 75.2% | — |
| DeepSWE | 29.9% | — |
| FrontierCode | 24.3% | — |
| LMArena WebDev | 1521 | — |
| SciCode | 46.8% | — |
| WeirdML | 66.1% | — |
| BigCodeBench Instruct | — | 48.9% |
| LMArena Coding | 1504 | — |
| BigCodeBench Complete | — | 59.4% |
| ALE-Bench | 1,327 | — |
Agentic & Tool Use Not comparable
Claude Sonnet 4.6: 39.1 (#26), DeepSeek-V2 (MoE-236B, May 2024): —
| Benchmark | Claude Sonnet 4.6 | DeepSeek-V2 (MoE-236B, May 2024) |
|---|---|---|
| Terminal-Bench | 53.4% | — |
| APEX-Agents | 43% | — |
| OSWorld 2.0 | 9.3% | — |
| DeepResearch Bench | 54.9% | — |
| OSWorld | 72.1% | — |
| ExploitBench | 23.6% | — |
| GBAEval | 48.8% | — |
| GDP.pdf | 18% | — |
| LMArena Search | 1221 | — |
| Vending-Bench 2 | 7,204 | — |
Reasoning Not comparable
Claude Sonnet 4.6: 46.1 (#40), DeepSeek-V2 (MoE-236B, May 2024): —
| Benchmark | Claude Sonnet 4.6 | DeepSeek-V2 (MoE-236B, May 2024) |
|---|---|---|
| Epoch Capabilities Index | 152.25 | 124.78 |
| ARC-AGI-2 | 60.4% | — |
| NYT Connections (extended) | 80.9% | — |
| ARC-AGI-1 | 86.5% | — |
| CritPt | 3.1% | — |
| Chess Puzzles | 13% | — |
| Thematic Generalization | 76.3% | — |
| LMArena Hard Prompts | 1485 | — |
| Mystery Game Puzzles | 16% | — |
| DTBench | 89.9% | — |
| LMCA | 46.5% | — |
| BIG-Bench Hard | — | 78.8% |
| ForecastBench | 62 | — |
| HellaSwag | — | 87.1% |
| PIQA | — | 83.9% |
| WinoGrande | — | 86.3% |
Math Not comparable
Claude Sonnet 4.6: 51.9 (#41), DeepSeek-V2 (MoE-236B, May 2024): —
| Benchmark | Claude Sonnet 4.6 | DeepSeek-V2 (MoE-236B, May 2024) |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 85.8% | — |
| ProofBench | 45% | — |
| LMArena Math | 1463 | — |
| FrontierMath (Feb 2025 set) | 32.4% | — |
| FrontierMath Tier 4 (v1) | 8.3% | — |
Knowledge Not comparable
Claude Sonnet 4.6: 51.6 (#60), DeepSeek-V2 (MoE-236B, May 2024): —
| Benchmark | Claude Sonnet 4.6 | DeepSeek-V2 (MoE-236B, May 2024) |
|---|---|---|
| GPQA Diamond | 87.4% | — |
| SimpleQA Verified | 35.5% | — |
| Vectara Hallucination Rate | 10.6% | — |
| LMArena Expert | 1500 | — |
| ARC (AI2) Challenge | — | 92.2% |
| MMLU | — | 78.4% |
| TriviaQA | — | 80% |
Multimodal Not comparable
Claude Sonnet 4.6: 38.0 (#61), DeepSeek-V2 (MoE-236B, May 2024): —
| Benchmark | Claude Sonnet 4.6 | DeepSeek-V2 (MoE-236B, May 2024) |
|---|---|---|
| LMArena Vision | 1283 | — |
| Blueprint-Bench 2 | 6.7% | — |
| LMArena Document | 1482 | — |
Multilingual Not comparable
Claude Sonnet 4.6: 54.6 (#39), DeepSeek-V2 (MoE-236B, May 2024): —
| Benchmark | Claude Sonnet 4.6 | DeepSeek-V2 (MoE-236B, May 2024) |
|---|---|---|
| LMArena Non-English | 1440 | — |
| LMArena Chinese | 1491 | — |
| LMArena French | 1465 | — |
| LMArena German | 1428 | — |
| LMArena Japanese | 1419 | — |
| LMArena Korean | 1411 | — |
| LMArena Russian | 1440 | — |
| LMArena Spanish | 1465 | — |
Instruction Following Not comparable
Claude Sonnet 4.6: 77.6 (#23), DeepSeek-V2 (MoE-236B, May 2024): —
| Benchmark | Claude Sonnet 4.6 | DeepSeek-V2 (MoE-236B, May 2024) |
|---|---|---|
| LMArena Instruction Following | 1476 | — |
Long Context Not comparable
Claude Sonnet 4.6: 45.3 (#40), DeepSeek-V2 (MoE-236B, May 2024): —
| Benchmark | Claude Sonnet 4.6 | DeepSeek-V2 (MoE-236B, May 2024) |
|---|---|---|
| LMArena Longer Query | 1479 | — |
Writing & Preference Not comparable
Claude Sonnet 4.6: 70.4 (#22), DeepSeek-V2 (MoE-236B, May 2024): —
| Benchmark | Claude Sonnet 4.6 | DeepSeek-V2 (MoE-236B, May 2024) |
|---|---|---|
| LMArena Text | 1458 | — |
| LMArena Creative Writing | 1435 | — |
| EQ-Bench Creative Writing | 1810 | — |
| EQ-Bench 4 | 1207 | — |
| LMArena Multi-Turn | 1464 | — |
Frequently asked questions
Is Claude Sonnet 4.6 better than DeepSeek-V2 (MoE-236B, May 2024)?
Claude Sonnet 4.6 has enough public results to be ranked (#42); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.
Is Claude Sonnet 4.6 or DeepSeek-V2 (MoE-236B, May 2024) better for coding?
Claude Sonnet 4.6 scores higher on coding benchmarks: 46.0 versus 39.8 in the Noometry coding category.
How many benchmarks do Claude Sonnet 4.6 and DeepSeek-V2 (MoE-236B, May 2024) share?
1 benchmark has published results for both models. Claude Sonnet 4.6 has 57 scored results on Noometry and DeepSeek-V2 (MoE-236B, May 2024) has 10.