Model comparison
Claude Sonnet 4 vs Qwen3 32B
Claude Sonnet 4 is the stronger model overall, scoring 40.8 to 39.2 on the Noometry Index. Qwen3 32B costs 4.9× less per token, which makes it the better buy when Claude Sonnet 4's lead doesn't matter for your workload.
Last verified . 24 shared benchmarks.
Summary
- They share 24 benchmarks with published results for both. Claude Sonnet 4 scores higher in 8 categories and Qwen3 32B in 1 category; 9 gaps are clear of the uncertainty.
- The widest gap is in long context, where Qwen3 32B leads 43.8 to 33.7.
- The biggest single-benchmark swing is Fiction.LiveBench: 46.9% for Claude Sonnet 4 and 74.2% for Qwen3 32B.
- Qwen3 32B is cheaper at $0.70 / $2.80 per million input/output tokens, against $3 / $15 for Claude Sonnet 4.
- Claude Sonnet 4 accepts more context: 200K tokens versus 131K.
- Qwen3 32B has downloadable open weights; the other is API-only.
Side by side
| Claude Sonnet 4 | Qwen3 32B | |
|---|---|---|
| Provider | Anthropic | Alibaba (Qwen) |
| Noometry Index | 40.8 | 39.2 |
| Released | 2025-05-22 | 2025-04 |
| Weights | Proprietary | Open |
| Context window | 200K | 131K |
| Max output | 64K | 16K |
| Input $ / M tokens | $3 | $0.70 |
| Output $ / M tokens | $15 | $2.80 |
| Results tracked | 58 | 26 |
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Category by category
Coding Claude Sonnet 4 leads
Claude Sonnet 4: 43.5 (#88), Qwen3 32B: 37.7 (#190)
| Benchmark | Claude Sonnet 4 | Qwen3 32B |
|---|---|---|
| Aider Polyglot | 61.3% | 40% |
| SciCode | 40% | 35.4% |
| LMArena Coding | 1414 | 1358 |
| SWE-bench Verified (bash only) | 64.9% | — |
| GSO | 4.9% | — |
| WeirdML | 46.1% | — |
| ALE-Bench | 655.35 | — |
Agentic & Tool Use Claude Sonnet 4 leads
Claude Sonnet 4: 38.5 (#31), Qwen3 32B: 32.6 (#62)
| Benchmark | Claude Sonnet 4 | Qwen3 32B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 48.7% |
| TheAgentCompany | 33.1% | — |
| Cybench | 35% | — |
| DeepResearch Bench | 46.6% | — |
| OSWorld | 43.9% | — |
| METR Time Horizons | 62% | — |
Reasoning Claude Sonnet 4 leads
Claude Sonnet 4: 22.9 (#187), Qwen3 32B: 20.2 (#241)
| Benchmark | Claude Sonnet 4 | Qwen3 32B |
|---|---|---|
| Kagi LLM Benchmark | 73% | 54.9% |
| CritPt | 0.3% | 0.3% |
| LMArena Hard Prompts | 1372 | 1334 |
| DTBench | 77.1% | 67.5% |
| LMCA | 29% | 17.3% |
| Epoch Capabilities Index | 141.69 | 138.51 |
| ARC-AGI-2 | 5.9% | — |
| SimpleBench | 45.5% | — |
| ARC-AGI-1 | 40% | — |
| Chess Puzzles | — | 5% |
| EnigmaEval | 3.1% | — |
| ForecastBench | 60.2 | — |
Math Claude Sonnet 4 leads
Claude Sonnet 4: 43.3 (#80), Qwen3 32B: 39.7 (#99)
| Benchmark | Claude Sonnet 4 | Qwen3 32B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 71.1% | 66.9% |
| LMArena Math | 1375 | 1399 |
| Omni-MATH | 60.2% | — |
| MATH Level 5 | 84.4% | — |
| FrontierMath (Feb 2025 set) | 4.1% | — |
| FrontierMath Tier 4 (v1) | 0% | — |
Knowledge Claude Sonnet 4 leads
Claude Sonnet 4: 41.8 (#108), Qwen3 32B: 40.0 (#125)
| Benchmark | Claude Sonnet 4 | Qwen3 32B |
|---|---|---|
| GPQA Diamond | 79.2% | 65.7% |
| Vectara Hallucination Rate | 10.3% | 5.9% |
| LMArena Expert | 1372 | 1362 |
| Humanity's Last Exam | 7.8% | — |
| MMLU-Pro | 84.3% | — |
| Confabulations | 13.2% | — |
| GPQA (HELM) | 70.6% | — |
Multimodal Not comparable
Claude Sonnet 4: 26.2 (#121), Qwen3 32B: —
| Benchmark | Claude Sonnet 4 | Qwen3 32B |
|---|---|---|
| LMArena Vision | 1191 | — |
| GeoBench | 37% | — |
| VPCT | 34% | — |
| MindCube | 44.8% | — |
Multilingual Claude Sonnet 4 leads
Claude Sonnet 4: 46.7 (#156), Qwen3 32B: 45.6 (#167)
| Benchmark | Claude Sonnet 4 | Qwen3 32B |
|---|---|---|
| LMArena Non-English | 1333 | 1317 |
| LMArena Chinese | 1350 | 1357 |
| LMArena German | 1331 | 1341 |
| LMArena Russian | 1355 | 1311 |
| LMArena French | 1363 | — |
| LMArena Japanese | 1302 | — |
| LMArena Korean | 1291 | — |
| LMArena Spanish | 1357 | — |
Instruction Following Claude Sonnet 4 leads
Claude Sonnet 4: 71.7 (#145), Qwen3 32B: 68.9 (#179)
| Benchmark | Claude Sonnet 4 | Qwen3 32B |
|---|---|---|
| LMArena Instruction Following | 1376 | 1305 |
| IFEval | 84% | — |
Long Context Qwen3 32B leads
Claude Sonnet 4: 33.7 (#259), Qwen3 32B: 43.8 (#87)
| Benchmark | Claude Sonnet 4 | Qwen3 32B |
|---|---|---|
| Fiction.LiveBench | 46.9% | 74.2% |
| LMArena Longer Query | 1398 | 1327 |
Writing & Preference Claude Sonnet 4 leads
Claude Sonnet 4: 57.1 (#132), Qwen3 32B: 52.9 (#163)
| Benchmark | Claude Sonnet 4 | Qwen3 32B |
|---|---|---|
| LMArena Text | 1351 | 1340 |
| LMArena Creative Writing | 1345 | 1297 |
| LMArena Multi-Turn | 1376 | 1331 |
| Short-Story Creative Writing | 81.4% | — |
| EQ-Bench Creative Writing | 1483 | — |
| WildBench | 83.8% | — |
Frequently asked questions
Is Claude Sonnet 4 better than Qwen3 32B?
Claude Sonnet 4 is the stronger model overall, scoring 40.8 to 39.2 on the Noometry Index. Qwen3 32B costs 4.9× less per token, which makes it the better buy when Claude Sonnet 4's lead doesn't matter for your workload.
Which is cheaper, Claude Sonnet 4 or Qwen3 32B?
Qwen3 32B is cheaper. It lists at $0.70 per million input tokens and $2.80 per million output tokens; Claude Sonnet 4 lists at $3 and $15.
Is Claude Sonnet 4 or Qwen3 32B better for coding?
Claude Sonnet 4 scores higher on coding benchmarks: 43.5 versus 37.7 in the Noometry coding category.
Which has the bigger context window?
Claude Sonnet 4 does, with 200K tokens against 131K.
How many benchmarks do Claude Sonnet 4 and Qwen3 32B share?
24 benchmarks have published results for both models. Claude Sonnet 4 has 58 scored results on Noometry and Qwen3 32B has 26.