Model comparison
Claude 3.7 Sonnet vs Qwen3-Coder 480B-A35B Instruct
Claude 3.7 Sonnet is the stronger model overall, scoring 39.4 to 37.7 on the Noometry Index.
Last verified . 19 shared benchmarks.
Alibaba (Qwen)Summary
- They share 19 benchmarks with published results for both. Claude 3.7 Sonnet scores higher in 6 categories and Qwen3-Coder 480B-A35B Instruct in 3 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in agentic & tool use, where Claude 3.7 Sonnet leads 33.9 to 23.7.
- Qwen3-Coder 480B-A35B Instruct has downloadable open weights; the other is API-only.
Side by side
| Claude 3.7 Sonnet | Qwen3-Coder 480B-A35B Instruct | |
|---|---|---|
| Provider | Anthropic | Alibaba (Qwen) |
| Noometry Index | 39.4 | 37.7 |
| Released | 2025-02-24 | 2025-04 |
| Weights | Proprietary | Open |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $1.50 |
| Output $ / M tokens | — | $7.50 |
| Results tracked | 58 | 25 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 41.1 (#120), Qwen3-Coder 480B-A35B Instruct: 36.2 (#199)
| Benchmark | Claude 3.7 Sonnet | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| SWE-bench Verified (bash only) | 52.8% | 55.4% |
| GSO | 3.8% | 4.9% |
| LMArena Coding | 1361 | 1413 |
| SWE-bench Verified | 61% | — |
| Aider Polyglot | 64.9% | — |
| LMArena WebDev | — | 1275 |
| WeirdML | — | 41.2% |
| LiveBench Coding | 74.5% | — |
| CadEval | 54% | — |
| ALE-Bench | — | 461.45 |
| AlgoTune | — | 1.44 |
Agentic & Tool Use Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 33.9 (#46), Qwen3-Coder 480B-A35B Instruct: 23.7 (#116)
| Benchmark | Claude 3.7 Sonnet | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Terminal-Bench | — | 27.2% |
| TheAgentCompany | 30.9% | — |
| Cybench | 20% | — |
| DeepResearch Bench | 43.6% | — |
| OSWorld | 35.8% | — |
| METR Time Horizons | 60% | — |
Reasoning Qwen3-Coder 480B-A35B Instruct leads
Claude 3.7 Sonnet: 18.7 (#252), Qwen3-Coder 480B-A35B Instruct: 24.7 (#141)
| Benchmark | Claude 3.7 Sonnet | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1333 | 1372 |
| ARC-AGI-2 | 0.9% | — |
| SimpleBench | 46.4% | — |
| Kagi LLM Benchmark | — | 49.5% |
| ARC-AGI-1 | 28.6% | — |
| EnigmaEval | 4.2% | — |
| LiveBench Reasoning | 87.8% | — |
| LiveBench Data Analysis | 74% | — |
| Epoch Capabilities Index | 141.16 | — |
| ForecastBench | 61.8 | — |
| LiveBench | 76.1% | — |
Math Too close to call
Claude 3.7 Sonnet: 35.7 (#137), Qwen3-Coder 480B-A35B Instruct: 34.9 (#151)
| Benchmark | Claude 3.7 Sonnet | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Math | 1336 | 1364 |
| OTIS Mock AIME 2024-2025 | 57.8% | — |
| Omni-MATH | 33% | — |
| LiveBench Math | 79% | — |
| MATH Level 5 | 91.2% | — |
| FrontierMath (Feb 2025 set) | 4.1% | — |
Knowledge Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 39.7 (#117), Qwen3-Coder 480B-A35B Instruct: 36.4 (#159)
| Benchmark | Claude 3.7 Sonnet | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Expert | 1321 | 1337 |
| GPQA Diamond | 79.7% | — |
| Humanity's Last Exam | 8% | — |
| MMLU-Pro | 78.4% | — |
| Confabulations | 14.7% | — |
| GPQA (HELM) | 60.8% | — |
Multimodal Not comparable
Claude 3.7 Sonnet: 33.1 (#90), Qwen3-Coder 480B-A35B Instruct: —
| Benchmark | Claude 3.7 Sonnet | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Vision | 1169 | — |
| GeoBench | 68% | — |
| VPCT | 39% | — |
| SpatialViz-Bench | 33.9% | — |
Multilingual Qwen3-Coder 480B-A35B Instruct leads
Claude 3.7 Sonnet: 44.3 (#174), Qwen3-Coder 480B-A35B Instruct: 47.8 (#143)
| Benchmark | Claude 3.7 Sonnet | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Non-English | 1296 | 1345 |
| LMArena Chinese | 1299 | 1356 |
| LMArena French | 1302 | 1394 |
| LMArena German | 1301 | 1324 |
| LMArena Japanese | 1268 | 1309 |
| LMArena Korean | 1249 | 1307 |
| LMArena Russian | 1311 | 1367 |
| LMArena Spanish | 1299 | 1360 |
Instruction Following Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 73.1 (#120), Qwen3-Coder 480B-A35B Instruct: 71.8 (#142)
| Benchmark | Claude 3.7 Sonnet | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Instruction Following | 1352 | 1356 |
| LiveBench Instruction Following | 81.3% | — |
| IFEval | 83.4% | — |
Long Context Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 50.2 (#10), Qwen3-Coder 480B-A35B Instruct: 42.0 (#126)
| Benchmark | Claude 3.7 Sonnet | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Longer Query | 1373 | 1379 |
| Fiction.LiveBench | 83.3% | — |
Writing & Preference Too close to call
Claude 3.7 Sonnet: 54.6 (#145), Qwen3-Coder 480B-A35B Instruct: 55.5 (#142)
| Benchmark | Claude 3.7 Sonnet | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Text | 1314 | 1356 |
| LMArena Creative Writing | 1332 | 1333 |
| LMArena Multi-Turn | 1339 | 1365 |
| Short-Story Creative Writing | 81.1% | — |
| EQ-Bench Creative Writing | 1412 | — |
| WildBench | 81.4% | — |
| LiveBench Language | 59.9% | — |
Frequently asked questions
Is Claude 3.7 Sonnet better than Qwen3-Coder 480B-A35B Instruct?
Claude 3.7 Sonnet is the stronger model overall, scoring 39.4 to 37.7 on the Noometry Index.
Is Claude 3.7 Sonnet or Qwen3-Coder 480B-A35B Instruct better for coding?
Claude 3.7 Sonnet scores higher on coding benchmarks: 41.1 versus 36.2 in the Noometry coding category.
How many benchmarks do Claude 3.7 Sonnet and Qwen3-Coder 480B-A35B Instruct share?
19 benchmarks have published results for both models. Claude 3.7 Sonnet has 58 scored results on Noometry and Qwen3-Coder 480B-A35B Instruct has 25.