Model comparison
Claude 3.7 Sonnet vs Qwen3-30B-A3B
Claude 3.7 Sonnet and Qwen3-30B-A3B score almost the same on the Noometry Index (39.5 vs 38.9), so choose on price, context window or the category you care about most.
Last verified . 23 shared benchmarks.
Alibaba (Qwen)Summary
- They share 23 benchmarks with published results for both. Claude 3.7 Sonnet scores higher in 5 categories and Qwen3-30B-A3B in 4 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in long context, where Claude 3.7 Sonnet leads 50.3 to 31.0.
- The biggest single-benchmark swing is Fiction.LiveBench: 83.3% for Claude 3.7 Sonnet and 40.6% for Qwen3-30B-A3B.
- Qwen3-30B-A3B has downloadable open weights; the other is API-only.
Side by side
| Claude 3.7 Sonnet | Qwen3-30B-A3B | |
|---|---|---|
| Provider | Anthropic | Alibaba (Qwen) |
| Noometry Index | 39.5 | 38.9 |
| Released | 2025-02-24 | 2025-04-28 |
| Weights | Proprietary | Open |
| Context window | — | 41K |
| Max output | — | 16K |
| Input $ / M tokens | — | $0.12 |
| Output $ / M tokens | — | $0.50 |
| Results tracked | 58 | 32 |
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Category by category
Coding Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 40.6 (#136), Qwen3-30B-A3B: 37.5 (#194)
| Benchmark | Claude 3.7 Sonnet | Qwen3-30B-A3B |
|---|---|---|
| LMArena Coding | 1361 | 1416 |
| SWE-bench Verified | 61% | — |
| SWE-bench Verified (bash only) | 52.8% | — |
| Aider Polyglot | 64.9% | — |
| SciCode | — | 33.3% |
| GSO | 3.8% | — |
| WeirdML | — | 29.8% |
| LiveBench Coding | 74.5% | — |
| CadEval | 54% | — |
Agentic & Tool Use Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 34.1 (#50), Qwen3-30B-A3B: 29.8 (#82)
| Benchmark | Claude 3.7 Sonnet | Qwen3-30B-A3B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 41.4% |
| TheAgentCompany | 30.9% | — |
| Cybench | 20% | — |
| DeepResearch Bench | 43.6% | — |
| OSWorld | 35.8% | — |
| METR Time Horizons | 60% | — |
Reasoning Qwen3-30B-A3B leads
Claude 3.7 Sonnet: 18.6 (#277), Qwen3-30B-A3B: 22.2 (#204)
| Benchmark | Claude 3.7 Sonnet | Qwen3-30B-A3B |
|---|---|---|
| LMArena Hard Prompts | 1333 | 1398 |
| Epoch Capabilities Index | 141.16 | 139.63 |
| ARC-AGI-2 | 0.9% | — |
| SimpleBench | 46.4% | — |
| Kagi LLM Benchmark | — | 54.9% |
| ARC-AGI-1 | 28.6% | — |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 8% |
| EnigmaEval | 4.2% | — |
| LiveBench Reasoning | 87.8% | — |
| DTBench | — | 69.3% |
| LiveBench Data Analysis | 74% | — |
| LMCA | — | 22.4% |
| ForecastBench | 61.8 | — |
| LiveBench | 76.1% | — |
Math Too close to call
Claude 3.7 Sonnet: 37.5 (#153), Qwen3-30B-A3B: 37.4 (#157)
| Benchmark | Claude 3.7 Sonnet | Qwen3-30B-A3B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 57.8% | 70.3% |
| LMArena Math | 1337 | 1394 |
| MathArena Final-Answer Competitions | — | 47.8% |
| Omni-MATH | 33% | — |
| LiveBench Math | 79% | — |
| MATH Level 5 | 91.2% | — |
| FrontierMath (Feb 2025 set) | 4.1% | — |
Knowledge Qwen3-30B-A3B leads
Claude 3.7 Sonnet: 39.8 (#130), Qwen3-30B-A3B: 41.8 (#105)
| Benchmark | Claude 3.7 Sonnet | Qwen3-30B-A3B |
|---|---|---|
| GPQA Diamond | 79.7% | 70.1% |
| Confabulations | 14.7% | 12.3% |
| LMArena Expert | 1321 | 1396 |
| Humanity's Last Exam | 8% | — |
| MMLU-Pro | 78.4% | — |
| GPQA (HELM) | 60.8% | — |
Multimodal Not comparable
Claude 3.7 Sonnet: 33.7 (#95), Qwen3-30B-A3B: —
| Benchmark | Claude 3.7 Sonnet | Qwen3-30B-A3B |
|---|---|---|
| LMArena Vision | 1169 | — |
| GeoBench | 68% | — |
| VPCT | 39% | — |
| SpatialViz-Bench | 33.9% | — |
Multilingual Qwen3-30B-A3B leads
Claude 3.7 Sonnet: 44.1 (#179), Qwen3-30B-A3B: 49.5 (#132)
| Benchmark | Claude 3.7 Sonnet | Qwen3-30B-A3B |
|---|---|---|
| LMArena Non-English | 1296 | 1372 |
| LMArena Chinese | 1299 | 1433 |
| LMArena French | 1303 | 1418 |
| LMArena German | 1301 | 1380 |
| LMArena Japanese | 1267 | 1337 |
| LMArena Korean | 1249 | 1331 |
| LMArena Russian | 1311 | 1370 |
| LMArena Spanish | 1298 | 1404 |
Instruction Following Too close to call
Claude 3.7 Sonnet: 72.9 (#125), Qwen3-30B-A3B: 72.0 (#142)
| Benchmark | Claude 3.7 Sonnet | Qwen3-30B-A3B |
|---|---|---|
| LMArena Instruction Following | 1352 | 1363 |
| LiveBench Instruction Following | 81.3% | — |
| IFEval | 83.4% | — |
Long Context Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 50.3 (#10), Qwen3-30B-A3B: 31.0 (#283)
| Benchmark | Claude 3.7 Sonnet | Qwen3-30B-A3B |
|---|---|---|
| Fiction.LiveBench | 83.3% | 40.6% |
| LMArena Longer Query | 1373 | 1379 |
Writing & Preference Qwen3-30B-A3B leads
Claude 3.7 Sonnet: 54.4 (#150), Qwen3-30B-A3B: 55.6 (#143)
| Benchmark | Claude 3.7 Sonnet | Qwen3-30B-A3B |
|---|---|---|
| LMArena Text | 1314 | 1384 |
| LMArena Creative Writing | 1332 | 1317 |
| Short-Story Creative Writing | 81.1% | 75.3% |
| LMArena Multi-Turn | 1339 | 1378 |
| EQ-Bench Creative Writing | 1412 | — |
| WildBench | 81.4% | — |
| LiveBench Language | 59.9% | — |
Frequently asked questions
Is Claude 3.7 Sonnet better than Qwen3-30B-A3B?
Claude 3.7 Sonnet and Qwen3-30B-A3B score almost the same on the Noometry Index (39.5 vs 38.9), so choose on price, context window or the category you care about most.
Is Claude 3.7 Sonnet or Qwen3-30B-A3B better for coding?
Claude 3.7 Sonnet scores higher on coding benchmarks: 40.6 versus 37.5 in the Noometry coding category.
How many benchmarks do Claude 3.7 Sonnet and Qwen3-30B-A3B share?
23 benchmarks have published results for both models. Claude 3.7 Sonnet has 58 scored results on Noometry and Qwen3-30B-A3B has 32.