Model comparison
Claude Sonnet 4.6 vs DeepSeek Coder 6.7B
Claude Sonnet 4.6 has enough public results to be ranked (#42); DeepSeek Coder 6.7B 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 Coder 6.7B 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 35.2.
- DeepSeek Coder 6.7B has downloadable open weights; the other is API-only.
Side by side
| Claude Sonnet 4.6 | DeepSeek Coder 6.7B | |
|---|---|---|
| Provider | Anthropic | DeepSeek |
| Noometry Index | 50.1 | 37.1 |
| Released | 2026-02-17 | 2023-11-02 |
| Weights | Proprietary | Open |
| Context window | 1M | — |
| Max output | 128K | — |
| Input $ / M tokens | $3 | — |
| Output $ / M tokens | $15 | — |
| Results tracked | 57 | 9 |
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Category by category
Coding Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 46.0 (#62), DeepSeek Coder 6.7B: 35.2 (#216)
| Benchmark | Claude Sonnet 4.6 | DeepSeek Coder 6.7B |
|---|---|---|
| SWE-bench Verified | 75.2% | — |
| DeepSWE | 29.9% | — |
| FrontierCode | 24.3% | — |
| LMArena WebDev | 1521 | — |
| SciCode | 46.8% | — |
| WeirdML | 66.1% | — |
| BigCodeBench Instruct | — | 35.5% |
| LMArena Coding | 1504 | — |
| BigCodeBench Complete | — | 43.8% |
| ALE-Bench | 1,327 | — |
| HumanEval+ | — | 71.3% |
| MBPP+ | — | 65.6% |
Agentic & Tool Use Not comparable
Claude Sonnet 4.6: 39.1 (#26), DeepSeek Coder 6.7B: —
| Benchmark | Claude Sonnet 4.6 | DeepSeek Coder 6.7B |
|---|---|---|
| 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 Coder 6.7B: —
| Benchmark | Claude Sonnet 4.6 | DeepSeek Coder 6.7B |
|---|---|---|
| Epoch Capabilities Index | 152.25 | 88.88 |
| 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% | — |
| ForecastBench | 62 | — |
| WinoGrande | — | 57.6% |
Math Not comparable
Claude Sonnet 4.6: 51.9 (#41), DeepSeek Coder 6.7B: —
| Benchmark | Claude Sonnet 4.6 | DeepSeek Coder 6.7B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 85.8% | — |
| ProofBench | 45% | — |
| LMArena Math | 1463 | — |
| FrontierMath (Feb 2025 set) | 32.4% | — |
| FrontierMath Tier 4 (v1) | 8.3% | — |
| GSM8K | — | 21.3% |
Knowledge Not comparable
Claude Sonnet 4.6: 51.6 (#60), DeepSeek Coder 6.7B: —
| Benchmark | Claude Sonnet 4.6 | DeepSeek Coder 6.7B |
|---|---|---|
| GPQA Diamond | 87.4% | — |
| SimpleQA Verified | 35.5% | — |
| Vectara Hallucination Rate | 10.6% | — |
| LMArena Expert | 1500 | — |
| ARC (AI2) Challenge | — | 36.4% |
| MMLU | — | 36.4% |
Multimodal Not comparable
Claude Sonnet 4.6: 38.0 (#61), DeepSeek Coder 6.7B: —
| Benchmark | Claude Sonnet 4.6 | DeepSeek Coder 6.7B |
|---|---|---|
| LMArena Vision | 1283 | — |
| Blueprint-Bench 2 | 6.7% | — |
| LMArena Document | 1482 | — |
Multilingual Not comparable
Claude Sonnet 4.6: 54.6 (#39), DeepSeek Coder 6.7B: —
| Benchmark | Claude Sonnet 4.6 | DeepSeek Coder 6.7B |
|---|---|---|
| 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 Coder 6.7B: —
| Benchmark | Claude Sonnet 4.6 | DeepSeek Coder 6.7B |
|---|---|---|
| LMArena Instruction Following | 1476 | — |
Long Context Not comparable
Claude Sonnet 4.6: 45.3 (#40), DeepSeek Coder 6.7B: —
| Benchmark | Claude Sonnet 4.6 | DeepSeek Coder 6.7B |
|---|---|---|
| LMArena Longer Query | 1479 | — |
Writing & Preference Not comparable
Claude Sonnet 4.6: 70.4 (#22), DeepSeek Coder 6.7B: —
| Benchmark | Claude Sonnet 4.6 | DeepSeek Coder 6.7B |
|---|---|---|
| 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 Coder 6.7B?
Claude Sonnet 4.6 has enough public results to be ranked (#42); DeepSeek Coder 6.7B does not yet, so treat this comparison as directional.
Is Claude Sonnet 4.6 or DeepSeek Coder 6.7B better for coding?
Claude Sonnet 4.6 scores higher on coding benchmarks: 46.0 versus 35.2 in the Noometry coding category.
How many benchmarks do Claude Sonnet 4.6 and DeepSeek Coder 6.7B share?
1 benchmark has published results for both models. Claude Sonnet 4.6 has 57 scored results on Noometry and DeepSeek Coder 6.7B has 9.