Model comparison
Claude 3.7 Sonnet vs Qwen2.5 7B Instruct
Claude 3.7 Sonnet is the stronger model overall, scoring 39.5 to 29.0 on the Noometry Index.
Last verified . 8 shared benchmarks.
Alibaba (Qwen)Summary
- They share 8 benchmarks with published results for both. Claude 3.7 Sonnet scores higher in 7 categories and Qwen2.5 7B Instruct in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude 3.7 Sonnet leads 37.5 to 12.6.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 57.8% for Claude 3.7 Sonnet and 2.5% for Qwen2.5 7B Instruct.
- Qwen2.5 7B Instruct has downloadable open weights; the other is API-only.
Side by side
| Claude 3.7 Sonnet | Qwen2.5 7B Instruct | |
|---|---|---|
| Provider | Anthropic | Alibaba (Qwen) |
| Noometry Index | 39.5 | 29.0 |
| Released | 2025-02-24 | 2024-09 |
| Weights | Proprietary | Open |
| Context window | — | 131K |
| Max output | — | 8K |
| Input $ / M tokens | — | $0.17 |
| Output $ / M tokens | — | $0.70 |
| Results tracked | 58 | 15 |
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Category by category
Coding Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 40.6 (#136), Qwen2.5 7B Instruct: 36.5 (#208)
| Benchmark | Claude 3.7 Sonnet | Qwen2.5 7B Instruct |
|---|---|---|
| SWE-bench Verified | 61% | — |
| SWE-bench Verified (bash only) | 52.8% | — |
| Aider Polyglot | 64.9% | — |
| GSO | 3.8% | — |
| BigCodeBench Instruct | — | 37.6% |
| LiveBench Coding | 74.5% | — |
| LMArena Coding | 1361 | — |
| BigCodeBench Complete | — | 46.1% |
| CadEval | 54% | — |
Agentic & Tool Use Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 34.1 (#50), Qwen2.5 7B Instruct: 23.8 (#124)
| Benchmark | Claude 3.7 Sonnet | Qwen2.5 7B Instruct |
|---|---|---|
| TheAgentCompany | 30.9% | — |
| Cybench | 20% | — |
| DeepResearch Bench | 43.6% | — |
| OSWorld | 35.8% | — |
| BALROG | — | 7.8% |
| METR Time Horizons | 60% | — |
Reasoning Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 18.6 (#277), Qwen2.5 7B Instruct: 14.8 (#322)
| Benchmark | Claude 3.7 Sonnet | Qwen2.5 7B Instruct |
|---|---|---|
| Epoch Capabilities Index | 141.16 | 118.51 |
| ARC-AGI-2 | 0.9% | — |
| SimpleBench | 46.4% | — |
| ARC-AGI-1 | 28.6% | — |
| Chess Puzzles | — | 0% |
| EnigmaEval | 4.2% | — |
| LiveBench Reasoning | 87.8% | — |
| LMArena Hard Prompts | 1333 | — |
| DTBench | — | 47.7% |
| LiveBench Data Analysis | 74% | — |
| LMCA | — | 6.4% |
| ForecastBench | 61.8 | — |
| LiveBench | 76.1% | — |
Math Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 37.5 (#153), Qwen2.5 7B Instruct: 12.6 (#306)
| Benchmark | Claude 3.7 Sonnet | Qwen2.5 7B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 57.8% | 2.5% |
| Omni-MATH | 33% | 29.4% |
| LiveBench Math | 79% | — |
| LMArena Math | 1337 | — |
| MATH Level 5 | 91.2% | — |
| FrontierMath (Feb 2025 set) | 4.1% | — |
Knowledge Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 39.8 (#130), Qwen2.5 7B Instruct: 17.0 (#286)
| Benchmark | Claude 3.7 Sonnet | Qwen2.5 7B Instruct |
|---|---|---|
| GPQA Diamond | 79.7% | 35.5% |
| MMLU-Pro | 78.4% | 53.9% |
| GPQA (HELM) | 60.8% | 34.1% |
| Humanity's Last Exam | 8% | — |
| Confabulations | 14.7% | — |
| LMArena Expert | 1321 | — |
| MMLU | — | 72.9% |
Multimodal Not comparable
Claude 3.7 Sonnet: 33.7 (#95), Qwen2.5 7B Instruct: —
| Benchmark | Claude 3.7 Sonnet | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Vision | 1169 | — |
| GeoBench | 68% | — |
| VPCT | 39% | — |
| SpatialViz-Bench | 33.9% | — |
Multilingual Not comparable
Claude 3.7 Sonnet: 44.1 (#179), Qwen2.5 7B Instruct: —
| Benchmark | Claude 3.7 Sonnet | Qwen2.5 7B Instruct |
|---|---|---|
| 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 leads
Claude 3.7 Sonnet: 72.9 (#125), Qwen2.5 7B Instruct: 63.2 (#231)
| Benchmark | Claude 3.7 Sonnet | Qwen2.5 7B Instruct |
|---|---|---|
| IFEval | 83.4% | 74.1% |
| LiveBench Instruction Following | 81.3% | — |
| LMArena Instruction Following | 1352 | — |
Long Context Not comparable
Claude 3.7 Sonnet: 50.3 (#10), Qwen2.5 7B Instruct: —
| Benchmark | Claude 3.7 Sonnet | Qwen2.5 7B Instruct |
|---|---|---|
| Fiction.LiveBench | 83.3% | — |
| LMArena Longer Query | 1373 | — |
Writing & Preference Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 54.4 (#150), Qwen2.5 7B Instruct: 48.8 (#195)
| Benchmark | Claude 3.7 Sonnet | Qwen2.5 7B Instruct |
|---|---|---|
| WildBench | 81.4% | 73.1% |
| LMArena Text | 1314 | — |
| LMArena Creative Writing | 1332 | — |
| Short-Story Creative Writing | 81.1% | — |
| EQ-Bench Creative Writing | 1412 | — |
| LMArena Multi-Turn | 1339 | — |
| LiveBench Language | 59.9% | — |
Frequently asked questions
Is Claude 3.7 Sonnet better than Qwen2.5 7B Instruct?
Claude 3.7 Sonnet is the stronger model overall, scoring 39.5 to 29.0 on the Noometry Index.
Is Claude 3.7 Sonnet or Qwen2.5 7B Instruct better for coding?
Claude 3.7 Sonnet scores higher on coding benchmarks: 40.6 versus 36.5 in the Noometry coding category.
How many benchmarks do Claude 3.7 Sonnet and Qwen2.5 7B Instruct share?
8 benchmarks have published results for both models. Claude 3.7 Sonnet has 58 scored results on Noometry and Qwen2.5 7B Instruct has 15.