Model comparison
Claude Opus 4.6 vs DeepSeek-R1-Distill-Qwen-32B
Claude Opus 4.6 is the stronger model overall, scoring 58.2 to 35.5 on the Noometry Index.
Last verified . 4 shared benchmarks.
DeepSeekSummary
- They share 4 benchmarks with published results for both. Claude Opus 4.6 scores higher in 7 categories and DeepSeek-R1-Distill-Qwen-32B in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Claude Opus 4.6 leads 57.8 to 18.2.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 94.4% for Claude Opus 4.6 and 55.6% for DeepSeek-R1-Distill-Qwen-32B.
- DeepSeek-R1-Distill-Qwen-32B has downloadable open weights; the other is API-only.
Side by side
| Claude Opus 4.6 | DeepSeek-R1-Distill-Qwen-32B | |
|---|---|---|
| Provider | Anthropic | DeepSeek |
| Noometry Index | 58.2 | 35.5 |
| Released | 2026-02-04 | 2025-01-20 |
| Weights | Proprietary | Open |
| Context window | 1M | — |
| Max output | 128K | — |
| Input $ / M tokens | $5 | — |
| Output $ / M tokens | $25 | — |
| Results tracked | 68 | 14 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Claude Opus 4.6 leads
Claude Opus 4.6: 57.2 (#20), DeepSeek-R1-Distill-Qwen-32B: 36.1 (#212)
| Benchmark | Claude Opus 4.6 | DeepSeek-R1-Distill-Qwen-32B |
|---|---|---|
| SWE-bench Verified | 78.7% | — |
| FrontierCode | 26.6% | — |
| SWE-bench Verified (bash only) | 75.6% | — |
| LMArena WebDev | 1547 | — |
| SWE-bench Multilingual | 72% | — |
| GSO | 41.2% | — |
| WeirdML | 78% | — |
| BigCodeBench Instruct | — | 43.9% |
| LiveBench Coding | — | 33.7% |
| LMArena Coding | 1536 | — |
| BigCodeBench Complete | — | 54.9% |
| ALE-Bench | 996.5 | — |
| AlgoTune | 1.47 | — |
Agentic & Tool Use Claude Opus 4.6 leads
Claude Opus 4.6: 51.1 (#4), DeepSeek-R1-Distill-Qwen-32B: 28.1 (#94)
| Benchmark | Claude Opus 4.6 | DeepSeek-R1-Distill-Qwen-32B |
|---|---|---|
| Terminal-Bench | 79.8% | — |
| APEX-Agents | 46.3% | — |
| Remote Labor Index | 4.2% | — |
| τ²-bench Banking | 27.3% | — |
| Cybench | 93% | — |
| DeepResearch Bench | 55.3% | — |
| BALROG | — | 19.5% |
| GBAEval | 44.1% | — |
| LMArena Search | 1253 | — |
| METR Time Horizons | 78.9% | — |
| Vending-Bench 2 | 8,018 | — |
Reasoning Claude Opus 4.6 leads
Claude Opus 4.6: 57.8 (#23), DeepSeek-R1-Distill-Qwen-32B: 18.2 (#284)
| Benchmark | Claude Opus 4.6 | DeepSeek-R1-Distill-Qwen-32B |
|---|---|---|
| Chess Puzzles | 17% | 1% |
| Epoch Capabilities Index | 155.24 | 137.44 |
| ARC-AGI-2 | 69.2% | — |
| SimpleBench | 67.6% | — |
| Kagi LLM Benchmark | 83.6% | — |
| NYT Connections (extended) | 92.1% | — |
| ARC-AGI-1 | 94% | — |
| EnigmaEval | 7.6% | — |
| Thematic Generalization | 80.6% | — |
| EBR-Bench | 12.7% | — |
| LiveBench Reasoning | — | 52.3% |
| LMArena Hard Prompts | 1527 | — |
| Mystery Game Puzzles | 25% | — |
| DTBench | 91.2% | — |
| LiveBench Data Analysis | — | 45.4% |
| LMCA | 55.8% | — |
| ForecastBench | 60 | — |
| LiveBench | — | 45.5% |
Math Claude Opus 4.6 leads
Claude Opus 4.6: 63.0 (#31), DeepSeek-R1-Distill-Qwen-32B: 34.5 (#194)
| Benchmark | Claude Opus 4.6 | DeepSeek-R1-Distill-Qwen-32B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 94.4% | 55.6% |
| FrontierMath (Tiers 1-3) | 66% | — |
| FrontierMath Tier 4 | 26.8% | — |
| MathArena Final-Answer Competitions | 78.5% | — |
| ProofBench | 50% | — |
| LiveBench Math | — | 59.4% |
| LMArena Math | 1519 | — |
| FrontierMath (Feb 2025 set) | 40.7% | — |
| FrontierMath Tier 4 (v1) | 22.9% | — |
Knowledge Claude Opus 4.6 leads
Claude Opus 4.6: 61.9 (#26), DeepSeek-R1-Distill-Qwen-32B: 35.7 (#182)
| Benchmark | Claude Opus 4.6 | DeepSeek-R1-Distill-Qwen-32B |
|---|---|---|
| GPQA Diamond | 90.5% | 64.1% |
| Humanity's Last Exam | 34.4% | — |
| SimpleQA Verified | 47% | — |
| Vectara Hallucination Rate | 12.2% | — |
| LMArena Expert | 1546 | — |
Multimodal Not comparable
Claude Opus 4.6: 37.3 (#74), DeepSeek-R1-Distill-Qwen-32B: —
| Benchmark | Claude Opus 4.6 | DeepSeek-R1-Distill-Qwen-32B |
|---|---|---|
| LMArena Vision | 1316 | — |
| Furniture Assembly | 28.3% | — |
| LMArena Document | 1507 | — |
Multilingual Not comparable
Claude Opus 4.6: 57.9 (#6), DeepSeek-R1-Distill-Qwen-32B: —
| Benchmark | Claude Opus 4.6 | DeepSeek-R1-Distill-Qwen-32B |
|---|---|---|
| LMArena Non-English | 1489 | — |
| LMArena Chinese | 1551 | — |
| LMArena French | 1513 | — |
| LMArena German | 1502 | — |
| LMArena Japanese | 1484 | — |
| LMArena Korean | 1464 | — |
| LMArena Russian | 1497 | — |
| LMArena Spanish | 1510 | — |
Instruction Following Claude Opus 4.6 leads
Claude Opus 4.6: 79.5 (#4), DeepSeek-R1-Distill-Qwen-32B: 61.6 (#243)
| Benchmark | Claude Opus 4.6 | DeepSeek-R1-Distill-Qwen-32B |
|---|---|---|
| LiveBench Instruction Following | — | 55.7% |
| LMArena Instruction Following | 1523 | — |
Long Context Not comparable
Claude Opus 4.6: 48.1 (#13), DeepSeek-R1-Distill-Qwen-32B: —
| Benchmark | Claude Opus 4.6 | DeepSeek-R1-Distill-Qwen-32B |
|---|---|---|
| CL-bench | 20.7% | — |
| CL-bench Life | 17% | — |
| LMArena Longer Query | 1520 | — |
Writing & Preference Claude Opus 4.6 leads
Claude Opus 4.6: 73.5 (#10), DeepSeek-R1-Distill-Qwen-32B: 49.6 (#188)
| Benchmark | Claude Opus 4.6 | DeepSeek-R1-Distill-Qwen-32B |
|---|---|---|
| LMArena Text | 1503 | — |
| LMArena Creative Writing | 1505 | — |
| EQ-Bench Creative Writing | 1809 | — |
| EQ-Bench 4 | 1223 | — |
| LMArena Multi-Turn | 1513 | — |
| LiveBench Language | — | 26.8% |
Frequently asked questions
Is Claude Opus 4.6 better than DeepSeek-R1-Distill-Qwen-32B?
Claude Opus 4.6 is the stronger model overall, scoring 58.2 to 35.5 on the Noometry Index.
Is Claude Opus 4.6 or DeepSeek-R1-Distill-Qwen-32B better for coding?
Claude Opus 4.6 scores higher on coding benchmarks: 57.2 versus 36.1 in the Noometry coding category.
How many benchmarks do Claude Opus 4.6 and DeepSeek-R1-Distill-Qwen-32B share?
4 benchmarks have published results for both models. Claude Opus 4.6 has 68 scored results on Noometry and DeepSeek-R1-Distill-Qwen-32B has 14.