Model comparison
Claude Opus 4.7 vs Deepseek Coder v2
Claude Opus 4.7 is the stronger model overall, scoring 58.3 to 35.9 on the Noometry Index.
Last verified . 17 shared benchmarks.
DeepSeekSummary
- They share 17 benchmarks with published results for both. Claude Opus 4.7 scores higher in 8 categories and Deepseek Coder v2 in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Claude Opus 4.7 leads 75.1 to 38.2.
- Deepseek Coder v2 has downloadable open weights; the other is API-only.
Side by side
| Claude Opus 4.7 | Deepseek Coder v2 | |
|---|---|---|
| Provider | Anthropic | DeepSeek |
| Noometry Index | 58.3 | 35.9 |
| Released | 2026-04-14 | 2024-06-17 |
| Weights | Proprietary | Open |
| Context window | 1M | — |
| Max output | 128K | — |
| Input $ / M tokens | $5 | — |
| Output $ / M tokens | $25 | — |
| Results tracked | 66 | 24 |
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Category by category
Coding Claude Opus 4.7 leads
Claude Opus 4.7: 59.6 (#13), Deepseek Coder v2: 38.1 (#183)
| Benchmark | Claude Opus 4.7 | Deepseek Coder v2 |
|---|---|---|
| LMArena Coding | 1518 | 1251 |
| SWE-bench Verified | 83.5% | — |
| FrontierCode | 38.5% | — |
| LMArena WebDev | 1558 | — |
| SciCode | 54.5% | — |
| GSO | 44.1% | — |
| WeirdML | 76.4% | — |
| BigCodeBench Instruct | — | 48.2% |
| MirrorCode | 31.1% | — |
| BigCodeBench Complete | — | 59.7% |
| ALE-Bench | 1,323 | — |
| HumanEval+ | — | 82.3% |
| MBPP+ | — | 75.1% |
Agentic & Tool Use Not comparable
Claude Opus 4.7: 47.9 (#10), Deepseek Coder v2: —
| Benchmark | Claude Opus 4.7 | Deepseek Coder v2 |
|---|---|---|
| Terminal-Bench | 80.2% | — |
| APEX-Agents | 49.2% | — |
| OSWorld 2.0 | 18.2% | — |
| τ²-bench Banking | 40.2% | — |
| PostTrainBench | 28.6% | — |
| ExploitBench | 26.5% | — |
| GBAEval | 43.8% | — |
| GDP.pdf | 21% | — |
| LMArena Search | 1233 | — |
| Vending-Bench 2 | 10,937 | — |
Reasoning Claude Opus 4.7 leads
Claude Opus 4.7: 53.8 (#29), Deepseek Coder v2: 23.6 (#176)
| Benchmark | Claude Opus 4.7 | Deepseek Coder v2 |
|---|---|---|
| LMArena Hard Prompts | 1506 | 1207 |
| ARC-AGI-2 | 75.8% | — |
| SimpleBench | 61.7% | — |
| Kagi LLM Benchmark | 80.7% | — |
| NYT Connections (extended) | 39% | — |
| ARC-AGI-1 | 93.5% | — |
| CritPt | 12% | — |
| Chess Puzzles | 30% | — |
| Thematic Generalization | 72.8% | — |
| EBR-Bench | 19% | — |
| Mystery Game Puzzles | 28% | — |
| DTBench | 94.7% | — |
| LMCA | 52.2% | — |
| Epoch Capabilities Index | 156.25 | — |
| ForecastBench | 60.3 | — |
| WinoGrande | — | 83.7% |
Math Claude Opus 4.7 leads
Claude Opus 4.7: 66.7 (#26), Deepseek Coder v2: 34.9 (#190)
| Benchmark | Claude Opus 4.7 | Deepseek Coder v2 |
|---|---|---|
| LMArena Math | 1499 | 1241 |
| FrontierMath (Tiers 1-3) | 70.2% | — |
| FrontierMath Tier 4 | 31.7% | — |
| MathArena Final-Answer Competitions | 73.6% | — |
| OTIS Mock AIME 2024-2025 | 97.8% | — |
| ProofBench | 54% | — |
| FrontierMath (Feb 2025 set) | 43.8% | — |
| FrontierMath Tier 4 (v1) | 22.9% | — |
| GSM8K | — | 94.5% |
Knowledge Claude Opus 4.7 leads
Claude Opus 4.7: 62.6 (#23), Deepseek Coder v2: 32.3 (#212)
| Benchmark | Claude Opus 4.7 | Deepseek Coder v2 |
|---|---|---|
| LMArena Expert | 1521 | 1181 |
| GPQA Diamond | 90.2% | — |
| Humanity's Last Exam | 36.2% | — |
| SimpleQA Verified | 51.7% | — |
| Vectara Hallucination Rate | 12% | — |
| ARC (AI2) Challenge | — | 64.3% |
Multimodal Not comparable
Claude Opus 4.7: 41.2 (#38), Deepseek Coder v2: —
| Benchmark | Claude Opus 4.7 | Deepseek Coder v2 |
|---|---|---|
| LMArena Vision | 1316 | — |
| Blueprint-Bench 2 | 24.5% | — |
| Furniture Assembly | 33.3% | — |
| LMArena Document | 1495 | — |
Multilingual Claude Opus 4.7 leads
Claude Opus 4.7: 57.3 (#10), Deepseek Coder v2: 36.3 (#240)
| Benchmark | Claude Opus 4.7 | Deepseek Coder v2 |
|---|---|---|
| LMArena Non-English | 1480 | 1182 |
| LMArena Chinese | 1531 | 1201 |
| LMArena French | 1503 | 1185 |
| LMArena German | 1495 | 1164 |
| LMArena Japanese | 1472 | 1126 |
| LMArena Korean | 1464 | 1104 |
| LMArena Russian | 1494 | 1188 |
| LMArena Spanish | 1495 | 1153 |
Instruction Following Claude Opus 4.7 leads
Claude Opus 4.7: 78.4 (#10), Deepseek Coder v2: 61.7 (#242)
| Benchmark | Claude Opus 4.7 | Deepseek Coder v2 |
|---|---|---|
| LMArena Instruction Following | 1498 | 1180 |
Long Context Claude Opus 4.7 leads
Claude Opus 4.7: 46.2 (#25), Deepseek Coder v2: 37.0 (#224)
| Benchmark | Claude Opus 4.7 | Deepseek Coder v2 |
|---|---|---|
| LMArena Longer Query | 1505 | 1219 |
Writing & Preference Claude Opus 4.7 leads
Claude Opus 4.7: 75.1 (#8), Deepseek Coder v2: 38.2 (#253)
| Benchmark | Claude Opus 4.7 | Deepseek Coder v2 |
|---|---|---|
| LMArena Text | 1490 | 1191 |
| LMArena Creative Writing | 1486 | 1120 |
| LMArena Multi-Turn | 1505 | 1177 |
| EQ-Bench Creative Writing | 1914 | — |
| EQ-Bench 4 | 1311 | — |
Frequently asked questions
Is Claude Opus 4.7 better than Deepseek Coder v2?
Claude Opus 4.7 is the stronger model overall, scoring 58.3 to 35.9 on the Noometry Index.
Is Claude Opus 4.7 or Deepseek Coder v2 better for coding?
Claude Opus 4.7 scores higher on coding benchmarks: 59.6 versus 38.1 in the Noometry coding category.
How many benchmarks do Claude Opus 4.7 and Deepseek Coder v2 share?
17 benchmarks have published results for both models. Claude Opus 4.7 has 66 scored results on Noometry and Deepseek Coder v2 has 24.