Model comparison
Claude Sonnet 5 vs Deepseek Coder v2
Claude Sonnet 5 is the stronger model overall, scoring 54.5 to 35.3 on the Noometry Index.
Last verified . 17 shared benchmarks.
DeepSeekSummary
- They share 17 benchmarks with published results for both. Claude Sonnet 5 scores higher in 8 categories and Deepseek Coder v2 in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Sonnet 5 leads 66.1 to 32.3.
- Deepseek Coder v2 has downloadable open weights; the other is API-only.
Side by side
| Claude Sonnet 5 | Deepseek Coder v2 | |
|---|---|---|
| Provider | Anthropic | DeepSeek |
| Noometry Index | 54.5 | 35.3 |
| Released | 2026-06-29 | 2024-06-17 |
| Weights | Proprietary | Open |
| Context window | 1M | — |
| Max output | 128K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $10 | — |
| Results tracked | 51 | 24 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Claude Sonnet 5 leads
Claude Sonnet 5: 55.5 (#20), Deepseek Coder v2: 37.5 (#178)
| Benchmark | Claude Sonnet 5 | Deepseek Coder v2 |
|---|---|---|
| LMArena Coding | 1483 | 1251 |
| DeepSWE | 53.8% | — |
| FrontierCode | 42.7% | — |
| CursorBench | 34.1% | — |
| LMArena WebDev | 1540 | — |
| SciCode | 53.6% | — |
| GSO | 37.3% | — |
| WeirdML | 68.8% | — |
| BigCodeBench Instruct | — | 48.2% |
| BigCodeBench Complete | — | 59.7% |
| ALE-Bench | 1,463 | — |
| HumanEval+ | — | 82.3% |
| MBPP+ | — | 75.1% |
Agentic & Tool Use Not comparable
Claude Sonnet 5: 42.7 (#16), Deepseek Coder v2: —
| Benchmark | Claude Sonnet 5 | Deepseek Coder v2 |
|---|---|---|
| APEX-Agents | 54.5% | — |
| GBAEval | 65.3% | — |
| LMArena Search | 1194 | — |
| Vending-Bench 2 | 6,378 | — |
Reasoning Claude Sonnet 5 leads
Claude Sonnet 5: 48.2 (#37), Deepseek Coder v2: 22.6 (#175)
| Benchmark | Claude Sonnet 5 | Deepseek Coder v2 |
|---|---|---|
| LMArena Hard Prompts | 1461 | 1207 |
| SimpleBench | 60.6% | — |
| NYT Connections (extended) | 75.1% | — |
| CritPt | 16.9% | — |
| Chess Puzzles | 35% | — |
| Mystery Game Puzzles | 35% | — |
| DTBench | 92.5% | — |
| LMCA | 50% | — |
| Surface Evolver Bench | 60% | — |
| Bench to the Future 3 | 0.14 | — |
| Epoch Capabilities Index | 156.34 | — |
| ForecastBench | 61.1 | — |
| WinoGrande | — | 83.7% |
Math Claude Sonnet 5 leads
Claude Sonnet 5: 66.1 (#21), Deepseek Coder v2: 32.3 (#188)
| Benchmark | Claude Sonnet 5 | Deepseek Coder v2 |
|---|---|---|
| LMArena Math | 1467 | 1241 |
| FrontierMath (Tiers 1-3) | 65.6% | — |
| FrontierMath Tier 4 | 29.3% | — |
| OTIS Mock AIME 2024-2025 | 94.7% | — |
| ProofBench | 77% | — |
| GSM8K | — | 94.5% |
Knowledge Claude Sonnet 5 leads
Claude Sonnet 5: 55.7 (#42), Deepseek Coder v2: 31.7 (#209)
| Benchmark | Claude Sonnet 5 | Deepseek Coder v2 |
|---|---|---|
| LMArena Expert | 1491 | 1181 |
| GPQA Diamond | 90.5% | — |
| SimpleQA Verified | 33.7% | — |
| ARC (AI2) Challenge | — | 64.3% |
Multimodal Not comparable
Claude Sonnet 5: 42.4 (#26), Deepseek Coder v2: —
| Benchmark | Claude Sonnet 5 | Deepseek Coder v2 |
|---|---|---|
| LMArena Vision | 1275 | — |
| Blueprint-Bench 2 | 24.9% | — |
| LMArena Document | 1466 | — |
Multilingual Claude Sonnet 5 leads
Claude Sonnet 5: 54.0 (#55), Deepseek Coder v2: 36.4 (#235)
| Benchmark | Claude Sonnet 5 | Deepseek Coder v2 |
|---|---|---|
| LMArena Non-English | 1431 | 1182 |
| LMArena Chinese | 1475 | 1201 |
| LMArena French | 1457 | 1184 |
| LMArena German | 1448 | 1164 |
| LMArena Japanese | 1422 | 1126 |
| LMArena Korean | 1411 | 1104 |
| LMArena Russian | 1452 | 1188 |
| LMArena Spanish | 1436 | 1153 |
Instruction Following Claude Sonnet 5 leads
Claude Sonnet 5: 76.6 (#39), Deepseek Coder v2: 61.9 (#237)
| Benchmark | Claude Sonnet 5 | Deepseek Coder v2 |
|---|---|---|
| LMArena Instruction Following | 1453 | 1180 |
Long Context Claude Sonnet 5 leads
Claude Sonnet 5: 44.8 (#53), Deepseek Coder v2: 37.0 (#219)
| Benchmark | Claude Sonnet 5 | Deepseek Coder v2 |
|---|---|---|
| LMArena Longer Query | 1464 | 1219 |
Writing & Preference Claude Sonnet 5 leads
Claude Sonnet 5: 69.4 (#24), Deepseek Coder v2: 38.4 (#249)
| Benchmark | Claude Sonnet 5 | Deepseek Coder v2 |
|---|---|---|
| LMArena Text | 1443 | 1191 |
| LMArena Creative Writing | 1416 | 1120 |
| LMArena Multi-Turn | 1454 | 1176 |
| EQ-Bench Creative Writing | 1794 | — |
| EQ-Bench 4 | 1236 | — |
Frequently asked questions
Is Claude Sonnet 5 better than Deepseek Coder v2?
Claude Sonnet 5 is the stronger model overall, scoring 54.5 to 35.3 on the Noometry Index.
Is Claude Sonnet 5 or Deepseek Coder v2 better for coding?
Claude Sonnet 5 scores higher on coding benchmarks: 55.5 versus 37.5 in the Noometry coding category.
How many benchmarks do Claude Sonnet 5 and Deepseek Coder v2 share?
17 benchmarks have published results for both models. Claude Sonnet 5 has 51 scored results on Noometry and Deepseek Coder v2 has 24.