Model comparison
Claude Sonnet 4.6 vs Qwen1.5-72B
Claude Sonnet 4.6 is the stronger model overall, scoring 50.1 to 30.3 on the Noometry Index.
Last verified . 18 shared benchmarks.
Summary
- They share 18 benchmarks with published results for both. Claude Sonnet 4.6 scores higher in 8 categories and Qwen1.5-72B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Claude Sonnet 4.6 leads 51.6 to 11.5.
- The biggest single-benchmark swing is GPQA Diamond: 87.4% for Claude Sonnet 4.6 and 28.8% for Qwen1.5-72B.
- Qwen1.5-72B has downloadable open weights; the other is API-only.
Side by side
| Claude Sonnet 4.6 | Qwen1.5-72B | |
|---|---|---|
| Provider | Anthropic | Alibaba (Qwen) |
| Noometry Index | 50.1 | 30.3 |
| Released | 2026-02-17 | 2024-02-04 |
| Weights | Proprietary | Open |
| Context window | 1M | — |
| Max output | 128K | — |
| Input $ / M tokens | $3 | — |
| Output $ / M tokens | $15 | — |
| Results tracked | 57 | 22 |
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Category by category
Coding Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 46.0 (#62), Qwen1.5-72B: 31.4 (#272)
| Benchmark | Claude Sonnet 4.6 | Qwen1.5-72B |
|---|---|---|
| LMArena Coding | 1504 | 1166 |
| SWE-bench Verified | 75.2% | — |
| DeepSWE | 29.9% | — |
| FrontierCode | 24.3% | — |
| LMArena WebDev | 1521 | — |
| SciCode | 46.8% | — |
| WeirdML | 66.1% | — |
| BigCodeBench Instruct | — | 33.2% |
| BigCodeBench Complete | — | 40.3% |
| ALE-Bench | 1,327 | — |
| HumanEval+ | — | 59.1% |
| MBPP+ | — | 61.6% |
Agentic & Tool Use Not comparable
Claude Sonnet 4.6: 39.1 (#26), Qwen1.5-72B: —
| Benchmark | Claude Sonnet 4.6 | Qwen1.5-72B |
|---|---|---|
| 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 Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 46.1 (#40), Qwen1.5-72B: 21.2 (#201)
| Benchmark | Claude Sonnet 4.6 | Qwen1.5-72B |
|---|---|---|
| LMArena Hard Prompts | 1485 | 1148 |
| 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% | — |
| Mystery Game Puzzles | 16% | — |
| DTBench | 89.9% | — |
| LMCA | 46.5% | — |
| Epoch Capabilities Index | 152.25 | — |
| ForecastBench | 62 | — |
Math Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 51.9 (#41), Qwen1.5-72B: 30.7 (#205)
| Benchmark | Claude Sonnet 4.6 | Qwen1.5-72B |
|---|---|---|
| LMArena Math | 1463 | 1164 |
| OTIS Mock AIME 2024-2025 | 85.8% | — |
| ProofBench | 45% | — |
| FrontierMath (Feb 2025 set) | 32.4% | — |
| FrontierMath Tier 4 (v1) | 8.3% | — |
Knowledge Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 51.6 (#60), Qwen1.5-72B: 11.5 (#295)
| Benchmark | Claude Sonnet 4.6 | Qwen1.5-72B |
|---|---|---|
| GPQA Diamond | 87.4% | 28.8% |
| LMArena Expert | 1500 | 1136 |
| SimpleQA Verified | 35.5% | — |
| Vectara Hallucination Rate | 10.6% | — |
Multimodal Not comparable
Claude Sonnet 4.6: 38.0 (#61), Qwen1.5-72B: —
| Benchmark | Claude Sonnet 4.6 | Qwen1.5-72B |
|---|---|---|
| LMArena Vision | 1283 | — |
| Blueprint-Bench 2 | 6.7% | — |
| LMArena Document | 1482 | — |
Multilingual Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 54.6 (#39), Qwen1.5-72B: 33.4 (#248)
| Benchmark | Claude Sonnet 4.6 | Qwen1.5-72B |
|---|---|---|
| LMArena Non-English | 1440 | 1135 |
| LMArena Chinese | 1491 | 1186 |
| LMArena French | 1465 | 1158 |
| LMArena German | 1428 | 1084 |
| LMArena Japanese | 1419 | 1061 |
| LMArena Korean | 1411 | 1049 |
| LMArena Russian | 1440 | 1104 |
| LMArena Spanish | 1465 | 1110 |
Instruction Following Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 77.6 (#23), Qwen1.5-72B: 59.6 (#251)
| Benchmark | Claude Sonnet 4.6 | Qwen1.5-72B |
|---|---|---|
| LMArena Instruction Following | 1476 | 1142 |
Long Context Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 45.3 (#40), Qwen1.5-72B: 35.0 (#238)
| Benchmark | Claude Sonnet 4.6 | Qwen1.5-72B |
|---|---|---|
| LMArena Longer Query | 1479 | 1157 |
Writing & Preference Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 70.4 (#22), Qwen1.5-72B: 37.4 (#253)
| Benchmark | Claude Sonnet 4.6 | Qwen1.5-72B |
|---|---|---|
| LMArena Text | 1458 | 1166 |
| LMArena Creative Writing | 1435 | 1137 |
| LMArena Multi-Turn | 1464 | 1160 |
| EQ-Bench Creative Writing | 1810 | — |
| EQ-Bench 4 | 1207 | — |
Frequently asked questions
Is Claude Sonnet 4.6 better than Qwen1.5-72B?
Claude Sonnet 4.6 is the stronger model overall, scoring 50.1 to 30.3 on the Noometry Index.
Is Claude Sonnet 4.6 or Qwen1.5-72B better for coding?
Claude Sonnet 4.6 scores higher on coding benchmarks: 46.0 versus 31.4 in the Noometry coding category.
How many benchmarks do Claude Sonnet 4.6 and Qwen1.5-72B share?
18 benchmarks have published results for both models. Claude Sonnet 4.6 has 57 scored results on Noometry and Qwen1.5-72B has 22.