Model comparison
Claude Sonnet 4.6 vs Qwen3.5 27B
Claude Sonnet 4.6 is the stronger model overall, scoring 50.3 to 41.9 on the Noometry Index. Qwen3.5 27B costs 7.3× less per token, which makes it the better buy when Claude Sonnet 4.6's lead doesn't matter for your workload.
Last verified . 27 shared benchmarks.
Summary
- They share 27 benchmarks with published results for both. Claude Sonnet 4.6 scores higher in 8 categories and Qwen3.5 27B in 1 category; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Claude Sonnet 4.6 leads 46.1 to 27.5.
- The biggest single-benchmark swing is NYT Connections (extended): 80.9% for Claude Sonnet 4.6 and 47.9% for Qwen3.5 27B.
- Qwen3.5 27B is cheaper at $0.30 / $2.40 per million input/output tokens, against $3 / $15 for Claude Sonnet 4.6.
- Claude Sonnet 4.6 accepts more context: 1M tokens versus 262K.
- Qwen3.5 27B has downloadable open weights; the other is API-only.
Side by side
| Claude Sonnet 4.6 | Qwen3.5 27B | |
|---|---|---|
| Provider | Anthropic | Alibaba (Qwen) |
| Noometry Index | 50.3 | 41.9 |
| Released | 2026-02-17 | 2026-02-23 |
| Weights | Proprietary | Open |
| Context window | 1M | 262K |
| Max output | 128K | 66K |
| Input $ / M tokens | $3 | $0.30 |
| Output $ / M tokens | $15 | $2.40 |
| Results tracked | 57 | 28 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 46.3 (#67), Qwen3.5 27B: 38.9 (#168)
| Benchmark | Claude Sonnet 4.6 | Qwen3.5 27B |
|---|---|---|
| LMArena WebDev | 1522 | 1358 |
| WeirdML | 66.1% | 39.5% |
| LMArena Coding | 1504 | 1427 |
| ALE-Bench | 1,327 | 349.45 |
| SWE-bench Verified | 75.2% | — |
| DeepSWE | 29.9% | — |
| FrontierCode | 24.3% | — |
| SciCode | 46.8% | — |
Agentic & Tool Use Not comparable
Claude Sonnet 4.6: 39.1 (#28), Qwen3.5 27B: —
| Benchmark | Claude Sonnet 4.6 | Qwen3.5 27B |
|---|---|---|
| Vending-Bench 2 | 7,204 | 201.98 |
| 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 | — |
Reasoning Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 46.1 (#45), Qwen3.5 27B: 27.5 (#117)
| Benchmark | Claude Sonnet 4.6 | Qwen3.5 27B |
|---|---|---|
| NYT Connections (extended) | 80.9% | 47.9% |
| Thematic Generalization | 76.3% | 45.5% |
| LMArena Hard Prompts | 1484 | 1414 |
| DTBench | 89.9% | 82.4% |
| LMCA | 46.5% | 34% |
| ARC-AGI-2 | 60.4% | — |
| ARC-AGI-1 | 86.5% | — |
| CritPt | 3.1% | — |
| Chess Puzzles | 13% | — |
| Mystery Game Puzzles | 16% | — |
| Epoch Capabilities Index | 152.24 | — |
| ForecastBench | 62 | — |
Math Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 52.9 (#49), Qwen3.5 27B: 38.8 (#127)
| Benchmark | Claude Sonnet 4.6 | Qwen3.5 27B |
|---|---|---|
| LMArena Math | 1462 | 1429 |
| MathArena Final-Answer Competitions | — | 56.7% |
| OTIS Mock AIME 2024-2025 | 85.8% | — |
| ProofBench | 45% | — |
| FrontierMath (Feb 2025 set) | 32.4% | — |
| FrontierMath Tier 4 (v1) | 8.3% | — |
Knowledge Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 51.7 (#65), Qwen3.5 27B: 38.0 (#150)
| Benchmark | Claude Sonnet 4.6 | Qwen3.5 27B |
|---|---|---|
| Vectara Hallucination Rate | 10.6% | 12.1% |
| LMArena Expert | 1500 | 1428 |
| GPQA Diamond | 87.4% | — |
| SimpleQA Verified | 35.5% | — |
Multimodal Qwen3.5 27B leads
Claude Sonnet 4.6: 38.0 (#68), Qwen3.5 27B: 39.4 (#59)
| Benchmark | Claude Sonnet 4.6 | Qwen3.5 27B |
|---|---|---|
| LMArena Vision | 1283 | 1241 |
| Blueprint-Bench 2 | 6.7% | — |
| LMArena Document | 1482 | — |
Multilingual Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 54.4 (#41), Qwen3.5 27B: 50.8 (#115)
| Benchmark | Claude Sonnet 4.6 | Qwen3.5 27B |
|---|---|---|
| LMArena Non-English | 1440 | 1390 |
| LMArena Chinese | 1491 | 1478 |
| LMArena French | 1465 | 1410 |
| LMArena German | 1428 | 1393 |
| LMArena Japanese | 1420 | 1345 |
| LMArena Korean | 1411 | 1358 |
| LMArena Russian | 1440 | 1390 |
| LMArena Spanish | 1464 | 1407 |
Instruction Following Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 77.4 (#25), Qwen3.5 27B: 73.5 (#119)
| Benchmark | Claude Sonnet 4.6 | Qwen3.5 27B |
|---|---|---|
| LMArena Instruction Following | 1475 | 1393 |
Long Context Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 45.3 (#44), Qwen3.5 27B: 43.1 (#106)
| Benchmark | Claude Sonnet 4.6 | Qwen3.5 27B |
|---|---|---|
| LMArena Longer Query | 1479 | 1413 |
Writing & Preference Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 70.2 (#22), Qwen3.5 27B: 59.3 (#111)
| Benchmark | Claude Sonnet 4.6 | Qwen3.5 27B |
|---|---|---|
| LMArena Text | 1458 | 1409 |
| LMArena Creative Writing | 1435 | 1362 |
| LMArena Multi-Turn | 1464 | 1410 |
| EQ-Bench Creative Writing | 1810 | — |
| EQ-Bench 4 | 1207 | — |
Frequently asked questions
Is Claude Sonnet 4.6 better than Qwen3.5 27B?
Claude Sonnet 4.6 is the stronger model overall, scoring 50.3 to 41.9 on the Noometry Index. Qwen3.5 27B costs 7.3× 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 Qwen3.5 27B?
Qwen3.5 27B is cheaper. It lists at $0.30 per million input tokens and $2.40 per million output tokens; Claude Sonnet 4.6 lists at $3 and $15.
Is Claude Sonnet 4.6 or Qwen3.5 27B better for coding?
Claude Sonnet 4.6 scores higher on coding benchmarks: 46.3 versus 38.9 in the Noometry coding category.
Which has the bigger context window?
Claude Sonnet 4.6 does, with 1M tokens against 262K.
How many benchmarks do Claude Sonnet 4.6 and Qwen3.5 27B share?
27 benchmarks have published results for both models. Claude Sonnet 4.6 has 57 scored results on Noometry and Qwen3.5 27B has 28.