Model comparison
Claude Sonnet 4.6 vs Qwen2.5-Coder-32B
Claude Sonnet 4.6 is the stronger model overall, scoring 50.3 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 4.6's lead doesn't matter for your workload.
Last verified . 13 shared benchmarks.
Summary
- They share 13 benchmarks with published results for both. Claude Sonnet 4.6 scores higher in 8 categories and Qwen2.5-Coder-32B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Claude Sonnet 4.6 leads 70.2 to 41.6.
- Qwen2.5-Coder-32B is cheaper at $0.66 / $1 per million input/output tokens, against $3 / $15 for Claude Sonnet 4.6.
- Claude Sonnet 4.6 accepts more context: 1M tokens versus 33K.
- Qwen2.5-Coder-32B has downloadable open weights; the other is API-only.
Side by side
| Claude Sonnet 4.6 | Qwen2.5-Coder-32B | |
|---|---|---|
| Provider | Anthropic | Alibaba (Qwen) |
| Noometry Index | 50.3 | 33.4 |
| Released | 2026-02-17 | 2024-09-18 |
| Weights | Proprietary | Open |
| Context window | 1M | 33K |
| Max output | 128K | 29K |
| Input $ / M tokens | $3 | $0.66 |
| Output $ / M tokens | $15 | $1 |
| Results tracked | 57 | 31 |
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Category by category
Coding Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 46.3 (#67), Qwen2.5-Coder-32B: 22.6 (#333)
| Benchmark | Claude Sonnet 4.6 | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Coding | 1504 | 1276 |
| SWE-bench Verified | 75.2% | — |
| DeepSWE | 29.9% | — |
| FrontierCode | 24.3% | — |
| SWE-bench Verified (bash only) | — | 9% |
| Aider Polyglot | — | 16.4% |
| LMArena WebDev | 1522 | — |
| SciCode | 46.8% | — |
| WeirdML | 66.1% | — |
| BigCodeBench Instruct | — | 49% |
| LiveBench Coding | — | 56.9% |
| BigCodeBench Complete | — | 58% |
| ALE-Bench | 1,327 | — |
| HumanEval+ | — | 87.2% |
| MBPP+ | — | 77% |
Agentic & Tool Use Not comparable
Claude Sonnet 4.6: 39.1 (#28), Qwen2.5-Coder-32B: —
| Benchmark | Claude Sonnet 4.6 | Qwen2.5-Coder-32B |
|---|---|---|
| Terminal-Bench | 53.4% | — |
| APEX-Agents | 43% | — |
| OSWorld 2.0 | 9.3% | — |
| DeepResearch Bench | 54.9% | — |
| OSWorld | 72.1% | — |
| ExploitBench | 23.6% | — |
| GBAEval | 48.8% | — |
| GDP.pdf | 18% | — |
| LMArena Search | 1221 | — |
| Vending-Bench 2 | 7,204 | — |
Reasoning Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 46.1 (#45), Qwen2.5-Coder-32B: 21.2 (#225)
| Benchmark | Claude Sonnet 4.6 | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Hard Prompts | 1484 | 1251 |
| Epoch Capabilities Index | 152.24 | 119.49 |
| ARC-AGI-2 | 60.4% | — |
| NYT Connections (extended) | 80.9% | — |
| ARC-AGI-1 | 86.5% | — |
| CritPt | 3.1% | — |
| Chess Puzzles | 13% | — |
| Thematic Generalization | 76.3% | — |
| LiveBench Reasoning | — | 42.1% |
| Mystery Game Puzzles | 16% | — |
| DTBench | 89.9% | — |
| LiveBench Data Analysis | — | 49.9% |
| LMCA | 46.5% | — |
| ForecastBench | 62 | — |
| HellaSwag | — | 83% |
| LiveBench | — | 46.2% |
| WinoGrande | — | 80.8% |
Math Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 52.9 (#49), Qwen2.5-Coder-32B: 33.3 (#204)
| Benchmark | Claude Sonnet 4.6 | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Math | 1462 | 1251 |
| OTIS Mock AIME 2024-2025 | 85.8% | — |
| ProofBench | 45% | — |
| LiveBench Math | — | 46.6% |
| FrontierMath (Feb 2025 set) | 32.4% | — |
| FrontierMath Tier 4 (v1) | 8.3% | — |
| GSM8K | — | 93% |
Knowledge Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 51.7 (#65), Qwen2.5-Coder-32B: 33.4 (#203)
| Benchmark | Claude Sonnet 4.6 | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Expert | 1500 | 1221 |
| GPQA Diamond | 87.4% | — |
| SimpleQA Verified | 35.5% | — |
| Vectara Hallucination Rate | 10.6% | — |
| ARC (AI2) Challenge | — | 70.5% |
| MMLU | — | 79.1% |
Multimodal Not comparable
Claude Sonnet 4.6: 38.0 (#68), Qwen2.5-Coder-32B: —
| Benchmark | Claude Sonnet 4.6 | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Vision | 1283 | — |
| Blueprint-Bench 2 | 6.7% | — |
| LMArena Document | 1482 | — |
Multilingual Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 54.4 (#41), Qwen2.5-Coder-32B: 37.8 (#235)
| Benchmark | Claude Sonnet 4.6 | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Non-English | 1440 | 1205 |
| LMArena Chinese | 1491 | 1222 |
| LMArena Russian | 1440 | 1228 |
| LMArena French | 1465 | — |
| LMArena German | 1428 | — |
| LMArena Japanese | 1420 | — |
| LMArena Korean | 1411 | — |
| LMArena Spanish | 1464 | — |
Instruction Following Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 77.4 (#25), Qwen2.5-Coder-32B: 61.4 (#245)
| Benchmark | Claude Sonnet 4.6 | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Instruction Following | 1475 | 1223 |
| LiveBench Instruction Following | — | 58.7% |
Long Context Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 45.3 (#44), Qwen2.5-Coder-32B: 38.0 (#208)
| Benchmark | Claude Sonnet 4.6 | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Longer Query | 1479 | 1251 |
Writing & Preference Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 70.2 (#22), Qwen2.5-Coder-32B: 41.6 (#240)
| Benchmark | Claude Sonnet 4.6 | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Text | 1458 | 1230 |
| LMArena Creative Writing | 1435 | 1174 |
| LMArena Multi-Turn | 1464 | 1222 |
| EQ-Bench Creative Writing | 1810 | — |
| EQ-Bench 4 | 1207 | — |
| LiveBench Language | — | 23.3% |
Frequently asked questions
Is Claude Sonnet 4.6 better than Qwen2.5-Coder-32B?
Claude Sonnet 4.6 is the stronger model overall, scoring 50.3 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 4.6's lead doesn't matter for your workload.
Which is cheaper, Claude Sonnet 4.6 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 4.6 lists at $3 and $15.
Is Claude Sonnet 4.6 or Qwen2.5-Coder-32B better for coding?
Claude Sonnet 4.6 scores higher on coding benchmarks: 46.3 versus 22.6 in the Noometry coding category.
Which has the bigger context window?
Claude Sonnet 4.6 does, with 1M tokens against 33K.
How many benchmarks do Claude Sonnet 4.6 and Qwen2.5-Coder-32B share?
13 benchmarks have published results for both models. Claude Sonnet 4.6 has 57 scored results on Noometry and Qwen2.5-Coder-32B has 31.