# Claude Sonnet 4 vs Qwen2.5-Coder-32B

> Claude Sonnet 4 is the stronger model overall, scoring 40.8 to 33.4 on the Noometry Index. Qwen2.5-Coder-32B costs 8.1× less per token, which makes it the better buy when Claude Sonnet 4's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/claude-sonnet-4-vs-qwen2-5-coder-32b
- Last updated: 2026-10-10
- Shared benchmarks: 15

## Summary

- They share 15 benchmarks with published results for both. Claude Sonnet 4 scores higher in 7 categories and Qwen2.5-Coder-32B in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in coding, where Claude Sonnet 4 leads 43.5 to 22.6.
- The biggest single-benchmark swing is SWE-bench Verified (bash only): 64.9% for Claude Sonnet 4 and 9% for Qwen2.5-Coder-32B.
- Qwen2.5-Coder-32B is cheaper at $0.66 / $1 per million input/output tokens, against $3 / $15 for Claude Sonnet 4.
- Claude Sonnet 4 accepts more context: 200K tokens versus 33K.
- Qwen2.5-Coder-32B has downloadable open weights; the other is API-only.

## Snapshot

| | Claude Sonnet 4 | Qwen2.5-Coder-32B |
|---|---|---|
| Provider | Anthropic | Alibaba (Qwen) |
| Noometry Index | 40.8 | 33.4 |
| Rank | 145 | 245 |
| Context | 200K | 33K |
| Input $/M | $3 | $0.66 |
| Output $/M | $15 | $1 |
| Weights | Proprietary | Open |

## Coding

- Claude Sonnet 4: 43.5 (#88)
- Qwen2.5-Coder-32B: 22.6 (#333)

| Benchmark | Claude Sonnet 4 | Qwen2.5-Coder-32B |
|---|---|---|
| SWE-bench Verified (bash only) | 64.9% | 9% |
| Aider Polyglot | 61.3% | 16.4% |
| LMArena Coding | 1414 | 1276 |
| SciCode | 40% | — |
| GSO | 4.9% | — |
| WeirdML | 46.1% | — |
| BigCodeBench Instruct | — | 49% |
| LiveBench Coding | — | 56.9% |
| BigCodeBench Complete | — | 58% |
| ALE-Bench | 655.35 | — |
| HumanEval+ | — | 87.2% |
| MBPP+ | — | 77% |

## Agentic & Tool Use

- Claude Sonnet 4: 38.5 (#31)
- Qwen2.5-Coder-32B: —

| Benchmark | Claude Sonnet 4 | Qwen2.5-Coder-32B |
|---|---|---|
| TheAgentCompany | 33.1% | — |
| Cybench | 35% | — |
| DeepResearch Bench | 46.6% | — |
| OSWorld | 43.9% | — |
| METR Time Horizons | 62% | — |

## Reasoning

- Claude Sonnet 4: 22.9 (#187)
- Qwen2.5-Coder-32B: 21.2 (#225)

| Benchmark | Claude Sonnet 4 | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Hard Prompts | 1372 | 1251 |
| Epoch Capabilities Index | 141.69 | 119.49 |
| ARC-AGI-2 | 5.9% | — |
| SimpleBench | 45.5% | — |
| Kagi LLM Benchmark | 73% | — |
| ARC-AGI-1 | 40% | — |
| CritPt | 0.3% | — |
| EnigmaEval | 3.1% | — |
| LiveBench Reasoning | — | 42.1% |
| DTBench | 77.1% | — |
| LiveBench Data Analysis | — | 49.9% |
| LMCA | 29% | — |
| ForecastBench | 60.2 | — |
| HellaSwag | — | 83% |
| LiveBench | — | 46.2% |
| WinoGrande | — | 80.8% |

## Math

- Claude Sonnet 4: 43.3 (#80)
- Qwen2.5-Coder-32B: 33.3 (#204)

| Benchmark | Claude Sonnet 4 | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Math | 1375 | 1251 |
| OTIS Mock AIME 2024-2025 | 71.1% | — |
| Omni-MATH | 60.2% | — |
| LiveBench Math | — | 46.6% |
| MATH Level 5 | 84.4% | — |
| FrontierMath (Feb 2025 set) | 4.1% | — |
| FrontierMath Tier 4 (v1) | 0% | — |
| GSM8K | — | 93% |

## Knowledge

- Claude Sonnet 4: 41.8 (#108)
- Qwen2.5-Coder-32B: 33.4 (#203)

| Benchmark | Claude Sonnet 4 | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Expert | 1372 | 1221 |
| GPQA Diamond | 79.2% | — |
| Humanity's Last Exam | 7.8% | — |
| MMLU-Pro | 84.3% | — |
| Confabulations | 13.2% | — |
| Vectara Hallucination Rate | 10.3% | — |
| GPQA (HELM) | 70.6% | — |
| ARC (AI2) Challenge | — | 70.5% |
| MMLU | — | 79.1% |

## Multimodal

- Claude Sonnet 4: 26.2 (#121)
- Qwen2.5-Coder-32B: —

| Benchmark | Claude Sonnet 4 | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Vision | 1191 | — |
| GeoBench | 37% | — |
| VPCT | 34% | — |
| MindCube | 44.8% | — |

## Multilingual

- Claude Sonnet 4: 46.7 (#156)
- Qwen2.5-Coder-32B: 37.8 (#235)

| Benchmark | Claude Sonnet 4 | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Non-English | 1333 | 1205 |
| LMArena Chinese | 1350 | 1222 |
| LMArena Russian | 1355 | 1228 |
| LMArena French | 1363 | — |
| LMArena German | 1331 | — |
| LMArena Japanese | 1302 | — |
| LMArena Korean | 1291 | — |
| LMArena Spanish | 1357 | — |

## Instruction Following

- Claude Sonnet 4: 71.7 (#145)
- Qwen2.5-Coder-32B: 61.4 (#245)

| Benchmark | Claude Sonnet 4 | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Instruction Following | 1376 | 1223 |
| LiveBench Instruction Following | — | 58.7% |
| IFEval | 84% | — |

## Long Context

- Claude Sonnet 4: 33.7 (#259)
- Qwen2.5-Coder-32B: 38.0 (#208)

| Benchmark | Claude Sonnet 4 | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Longer Query | 1398 | 1251 |
| Fiction.LiveBench | 46.9% | — |

## Writing & Preference

- Claude Sonnet 4: 57.1 (#132)
- Qwen2.5-Coder-32B: 41.6 (#240)

| Benchmark | Claude Sonnet 4 | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Text | 1351 | 1230 |
| LMArena Creative Writing | 1345 | 1174 |
| LMArena Multi-Turn | 1376 | 1222 |
| Short-Story Creative Writing | 81.4% | — |
| EQ-Bench Creative Writing | 1483 | — |
| WildBench | 83.8% | — |
| LiveBench Language | — | 23.3% |

## FAQ

### Is Claude Sonnet 4 better than Qwen2.5-Coder-32B?

Claude Sonnet 4 is the stronger model overall, scoring 40.8 to 33.4 on the Noometry Index. Qwen2.5-Coder-32B costs 8.1× 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 Qwen2.5-Coder-32B?

Qwen2.5-Coder-32B is cheaper. It lists at $0.66 per million input tokens and $1 per million output tokens; Claude Sonnet 4 lists at $3 and $15.

### Is Claude Sonnet 4 or Qwen2.5-Coder-32B better for coding?

Claude Sonnet 4 scores higher on coding benchmarks: 43.5 versus 22.6 in the Noometry coding category.

### Which has the bigger context window?

Claude Sonnet 4 does, with 200K tokens against 33K.

### How many benchmarks do Claude Sonnet 4 and Qwen2.5-Coder-32B share?

15 benchmarks have published results for both models. Claude Sonnet 4 has 58 scored results on Noometry and Qwen2.5-Coder-32B has 31.