Model comparison
Claude 3.7 Sonnet vs Qwen3.7 Max
Qwen3.7 Max is the stronger model overall, scoring 51.4 to 39.4 on the Noometry Index.
Last verified . 17 shared benchmarks.
Alibaba (Qwen)Summary
- They share 17 benchmarks with published results for both. Claude 3.7 Sonnet scores higher in 2 categories and Qwen3.7 Max in 7 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Qwen3.7 Max leads 48.4 to 18.7.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 57.8% for Claude 3.7 Sonnet and 95.6% for Qwen3.7 Max.
Side by side
| Claude 3.7 Sonnet | Qwen3.7 Max | |
|---|---|---|
| Provider | Anthropic | Alibaba (Qwen) |
| Noometry Index | 39.4 | 51.4 |
| Released | 2025-02-24 | 2026-05-19 |
| Weights | Proprietary | Proprietary |
| Context window | — | 1M |
| Max output | — | 131K |
| Input $ / M tokens | — | $2.50 |
| Output $ / M tokens | — | $7.50 |
| Results tracked | 58 | 33 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Qwen3.7 Max leads
Claude 3.7 Sonnet: 41.1 (#120), Qwen3.7 Max: 50.2 (#43)
| Benchmark | Claude 3.7 Sonnet | Qwen3.7 Max |
|---|---|---|
| SWE-bench Verified | 61% | 77.3% |
| LMArena Coding | 1361 | 1498 |
| SWE-bench Verified (bash only) | 52.8% | — |
| Aider Polyglot | 64.9% | — |
| LMArena WebDev | — | 1515 |
| SciCode | — | 48.8% |
| GSO | 3.8% | — |
| LiveBench Coding | 74.5% | — |
| CadEval | 54% | — |
| ALE-Bench | — | 1,189 |
Agentic & Tool Use Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 33.9 (#46), Qwen3.7 Max: 21.8 (#129)
| Benchmark | Claude 3.7 Sonnet | Qwen3.7 Max |
|---|---|---|
| TheAgentCompany | 30.9% | — |
| Cybench | 20% | — |
| DeepResearch Bench | 43.6% | — |
| OSWorld | 35.8% | — |
| GBAEval | — | 0.4% |
| METR Time Horizons | 60% | — |
Reasoning Qwen3.7 Max leads
Claude 3.7 Sonnet: 18.7 (#252), Qwen3.7 Max: 48.4 (#36)
| Benchmark | Claude 3.7 Sonnet | Qwen3.7 Max |
|---|---|---|
| SimpleBench | 46.4% | 70.4% |
| LMArena Hard Prompts | 1333 | 1483 |
| Epoch Capabilities Index | 141.16 | 153.74 |
| ARC-AGI-2 | 0.9% | — |
| NYT Connections (extended) | — | 85.1% |
| ARC-AGI-1 | 28.6% | — |
| CritPt | — | 13.4% |
| Chess Puzzles | — | 19% |
| EnigmaEval | 4.2% | — |
| EBR-Bench | — | 9.5% |
| LiveBench Reasoning | 87.8% | — |
| Mystery Game Puzzles | — | 32% |
| DTBench | — | 92.3% |
| LiveBench Data Analysis | 74% | — |
| LMCA | — | 44% |
| ForecastBench | 61.8 | — |
| LiveBench | 76.1% | — |
Math Qwen3.7 Max leads
Claude 3.7 Sonnet: 35.7 (#137), Qwen3.7 Max: 62.3 (#26)
| Benchmark | Claude 3.7 Sonnet | Qwen3.7 Max |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 57.8% | 95.6% |
| LMArena Math | 1336 | 1488 |
| FrontierMath (Tiers 1-3) | — | 64.6% |
| FrontierMath Tier 4 | — | 34.1% |
| ProofBench | — | 26% |
| Omni-MATH | 33% | — |
| LiveBench Math | 79% | — |
| MATH Level 5 | 91.2% | — |
| FrontierMath (Feb 2025 set) | 4.1% | — |
Knowledge Qwen3.7 Max leads
Claude 3.7 Sonnet: 39.7 (#117), Qwen3.7 Max: 61.7 (#24)
| Benchmark | Claude 3.7 Sonnet | Qwen3.7 Max |
|---|---|---|
| GPQA Diamond | 79.7% | 90.9% |
| LMArena Expert | 1321 | 1488 |
| Humanity's Last Exam | 8% | — |
| SimpleQA Verified | — | 55.8% |
| MMLU-Pro | 78.4% | — |
| Confabulations | 14.7% | — |
| GPQA (HELM) | 60.8% | — |
Multimodal Not comparable
Claude 3.7 Sonnet: 33.1 (#90), Qwen3.7 Max: —
| Benchmark | Claude 3.7 Sonnet | Qwen3.7 Max |
|---|---|---|
| LMArena Vision | 1169 | — |
| GeoBench | 68% | — |
| VPCT | 39% | — |
| SpatialViz-Bench | 33.9% | — |
Multilingual Qwen3.7 Max leads
Claude 3.7 Sonnet: 44.3 (#174), Qwen3.7 Max: 57.1 (#13)
| Benchmark | Claude 3.7 Sonnet | Qwen3.7 Max |
|---|---|---|
| LMArena Non-English | 1296 | 1475 |
| LMArena Chinese | 1299 | 1533 |
| LMArena Russian | 1311 | 1482 |
| LMArena French | 1302 | — |
| LMArena German | 1301 | — |
| LMArena Japanese | 1268 | — |
| LMArena Korean | 1249 | — |
| LMArena Spanish | 1299 | — |
Instruction Following Qwen3.7 Max leads
Claude 3.7 Sonnet: 73.1 (#120), Qwen3.7 Max: 76.9 (#34)
| Benchmark | Claude 3.7 Sonnet | Qwen3.7 Max |
|---|---|---|
| LMArena Instruction Following | 1352 | 1460 |
| LiveBench Instruction Following | 81.3% | — |
| IFEval | 83.4% | — |
Long Context Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 50.2 (#10), Qwen3.7 Max: 45.4 (#34)
| Benchmark | Claude 3.7 Sonnet | Qwen3.7 Max |
|---|---|---|
| LMArena Longer Query | 1373 | 1484 |
| Fiction.LiveBench | 83.3% | — |
Writing & Preference Qwen3.7 Max leads
Claude 3.7 Sonnet: 54.6 (#145), Qwen3.7 Max: 65.2 (#52)
| Benchmark | Claude 3.7 Sonnet | Qwen3.7 Max |
|---|---|---|
| LMArena Text | 1314 | 1476 |
| LMArena Creative Writing | 1332 | 1450 |
| LMArena Multi-Turn | 1339 | 1482 |
| Short-Story Creative Writing | 81.1% | — |
| EQ-Bench Creative Writing | 1412 | — |
| WildBench | 81.4% | — |
| EQ-Bench 4 | — | 1110 |
| LiveBench Language | 59.9% | — |
Frequently asked questions
Is Claude 3.7 Sonnet better than Qwen3.7 Max?
Qwen3.7 Max is the stronger model overall, scoring 51.4 to 39.4 on the Noometry Index.
Is Claude 3.7 Sonnet or Qwen3.7 Max better for coding?
Qwen3.7 Max scores higher on coding benchmarks: 50.2 versus 41.1 in the Noometry coding category.
How many benchmarks do Claude 3.7 Sonnet and Qwen3.7 Max share?
17 benchmarks have published results for both models. Claude 3.7 Sonnet has 58 scored results on Noometry and Qwen3.7 Max has 33.