# 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.

- Canonical page: https://noometry.com/compare/claude-3-7-sonnet-vs-qwen3-14b
- Last updated: 2026-10-10
- Shared benchmarks: 4

## 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.

## Snapshot

| | Claude 3.7 Sonnet | Qwen3 14B |
|---|---|---|
| Provider | Anthropic | Alibaba (Qwen) |
| Noometry Index | 39.5 | 35.5 |
| Rank | 164 | 225 |
| Context | — | 131K |
| Input $/M | — | $0.35 |
| Output $/M | — | $1.40 |
| Weights | Proprietary | Open |

## Coding

- 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: 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

- 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

- 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

- 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

- 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

- 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

- 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: 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

- 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% | — |

## FAQ

### 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.