Model comparison
Claude 3.7 Sonnet vs Qwen3 14B
Claude 3.7 Sonnet is the stronger model overall, scoring 39.5 to 35.5 on the Noometry Index.
Last verified . 4 shared benchmarks.
Alibaba (Qwen)Summary
- They share 4 benchmarks with published results for both. Claude 3.7 Sonnet scores higher in 5 categories and Qwen3 14B in 1 category; 4 gaps are clear of the uncertainty.
- The widest gap is in long context, where Claude 3.7 Sonnet leads 50.3 to 38.1.
- The biggest single-benchmark swing is Fiction.LiveBench: 83.3% for Claude 3.7 Sonnet and 62.5% for Qwen3 14B.
- Qwen3 14B has downloadable open weights; the other is API-only.
Side by side
| Claude 3.7 Sonnet | Qwen3 14B | |
|---|---|---|
| Provider | Anthropic | Alibaba (Qwen) |
| Noometry Index | 39.5 | 35.5 |
| Released | 2025-02-24 | 2025-04 |
| Weights | Proprietary | Open |
| Context window | — | 131K |
| Max output | — | 8K |
| Input $ / M tokens | — | $0.35 |
| Output $ / M tokens | — | $1.40 |
| Results tracked | 58 | 12 |
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Category by category
Coding Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 40.6 (#136), Qwen3 14B: 37.3 (#195)
| Benchmark | Claude 3.7 Sonnet | Qwen3 14B |
|---|---|---|
| SWE-bench Verified | 61% | — |
| SWE-bench Verified (bash only) | 52.8% | — |
| Aider Polyglot | 64.9% | — |
| SciCode | — | 31.6% |
| GSO | 3.8% | — |
| LiveBench Coding | 74.5% | — |
| LMArena Coding | 1361 | — |
| CadEval | 54% | — |
Agentic & Tool Use Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 34.1 (#50), Qwen3 14B: 29.6 (#83)
| Benchmark | Claude 3.7 Sonnet | Qwen3 14B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 41% |
| TheAgentCompany | 30.9% | — |
| Cybench | 20% | — |
| DeepResearch Bench | 43.6% | — |
| OSWorld | 35.8% | — |
| METR Time Horizons | 60% | — |
Reasoning Too close to call
Claude 3.7 Sonnet: 18.6 (#277), Qwen3 14B: 18.5 (#280)
| Benchmark | Claude 3.7 Sonnet | Qwen3 14B |
|---|---|---|
| Epoch Capabilities Index | 141.16 | 138.23 |
| ARC-AGI-2 | 0.9% | — |
| SimpleBench | 46.4% | — |
| Kagi LLM Benchmark | — | 49.1% |
| ARC-AGI-1 | 28.6% | — |
| CritPt | — | 0% |
| Chess Puzzles | — | 4% |
| EnigmaEval | 4.2% | — |
| LiveBench Reasoning | 87.8% | — |
| LMArena Hard Prompts | 1333 | — |
| DTBench | — | 64% |
| LiveBench Data Analysis | 74% | — |
| LMCA | — | 18.2% |
| ForecastBench | 61.8 | — |
| LiveBench | 76.1% | — |
Math Qwen3 14B leads
Claude 3.7 Sonnet: 37.5 (#153), Qwen3 14B: 38.6 (#133)
| Benchmark | Claude 3.7 Sonnet | Qwen3 14B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 57.8% | 66.4% |
| Omni-MATH | 33% | — |
| LiveBench Math | 79% | — |
| LMArena Math | 1337 | — |
| MATH Level 5 | 91.2% | — |
| FrontierMath (Feb 2025 set) | 4.1% | — |
Knowledge Too close to call
Claude 3.7 Sonnet: 39.8 (#130), Qwen3 14B: 39.3 (#134)
| Benchmark | Claude 3.7 Sonnet | Qwen3 14B |
|---|---|---|
| GPQA Diamond | 79.7% | 63.8% |
| Humanity's Last Exam | 8% | — |
| MMLU-Pro | 78.4% | — |
| Confabulations | 14.7% | — |
| Vectara Hallucination Rate | — | 5.4% |
| GPQA (HELM) | 60.8% | — |
| LMArena Expert | 1321 | — |
Multimodal Not comparable
Claude 3.7 Sonnet: 33.7 (#95), Qwen3 14B: —
| Benchmark | Claude 3.7 Sonnet | Qwen3 14B |
|---|---|---|
| LMArena Vision | 1169 | — |
| GeoBench | 68% | — |
| VPCT | 39% | — |
| SpatialViz-Bench | 33.9% | — |
Multilingual Not comparable
Claude 3.7 Sonnet: 44.1 (#179), Qwen3 14B: —
| Benchmark | Claude 3.7 Sonnet | Qwen3 14B |
|---|---|---|
| LMArena Non-English | 1296 | — |
| LMArena Chinese | 1299 | — |
| LMArena French | 1303 | — |
| LMArena German | 1301 | — |
| LMArena Japanese | 1267 | — |
| LMArena Korean | 1249 | — |
| LMArena Russian | 1311 | — |
| LMArena Spanish | 1298 | — |
Instruction Following Not comparable
Claude 3.7 Sonnet: 72.9 (#125), Qwen3 14B: —
| Benchmark | Claude 3.7 Sonnet | Qwen3 14B |
|---|---|---|
| LiveBench Instruction Following | 81.3% | — |
| IFEval | 83.4% | — |
| LMArena Instruction Following | 1352 | — |
Long Context Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 50.3 (#10), Qwen3 14B: 38.1 (#204)
| Benchmark | Claude 3.7 Sonnet | Qwen3 14B |
|---|---|---|
| Fiction.LiveBench | 83.3% | 62.5% |
| LMArena Longer Query | 1373 | — |
Writing & Preference Not comparable
Claude 3.7 Sonnet: 54.4 (#150), Qwen3 14B: —
| Benchmark | Claude 3.7 Sonnet | Qwen3 14B |
|---|---|---|
| LMArena Text | 1314 | — |
| LMArena Creative Writing | 1332 | — |
| Short-Story Creative Writing | 81.1% | — |
| EQ-Bench Creative Writing | 1412 | — |
| WildBench | 81.4% | — |
| LMArena Multi-Turn | 1339 | — |
| LiveBench Language | 59.9% | — |
Frequently asked questions
Is Claude 3.7 Sonnet better than Qwen3 14B?
Claude 3.7 Sonnet is the stronger model overall, scoring 39.5 to 35.5 on the Noometry Index.
Is Claude 3.7 Sonnet or Qwen3 14B better for coding?
Claude 3.7 Sonnet scores higher on coding benchmarks: 40.6 versus 37.3 in the Noometry coding category.
How many benchmarks do Claude 3.7 Sonnet and Qwen3 14B share?
4 benchmarks have published results for both models. Claude 3.7 Sonnet has 58 scored results on Noometry and Qwen3 14B has 12.