Model comparison
Claude Sonnet 5.5 vs Qwen3.8 27B
Claude Sonnet 5.5 is the stronger model overall, scoring 61.9 to 46.0 on the Noometry Index. Qwen3.8 27B costs 6.6× less per token, which makes it the better buy when Claude Sonnet 5.5's lead doesn't matter for your workload.
Last verified . 20 shared benchmarks.
Summary
- They share 20 benchmarks with published results for both. Claude Sonnet 5.5 scores higher in 10 categories and Qwen3.8 27B in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Sonnet 5.5 leads 87.9 to 37.1.
- The biggest single-benchmark swing is ProofBench: 100% for Claude Sonnet 5.5 and 16% for Qwen3.8 27B.
- Qwen3.8 27B is cheaper at $0.04 / $2.30 per million input/output tokens, against $2 / $10 for Claude Sonnet 5.5.
- Claude Sonnet 5.5 accepts more context: 1M tokens versus 262K.
- Qwen3.8 27B has downloadable open weights; the other is API-only.
Side by side
| Claude Sonnet 5.5 | Qwen3.8 27B | |
|---|---|---|
| Provider | Anthropic | Alibaba (Qwen) |
| Noometry Index | 61.9 | 46.0 |
| Released | 2026-09-28 | 2026-08-14 |
| Weights | Proprietary | Open |
| Context window | 1M | 262K |
| Max output | 128K | 33K |
| Input $ / M tokens | $2 | $0.04 |
| Output $ / M tokens | $10 | $2.30 |
| Results tracked | 32 | 31 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 67.3 (#6), Qwen3.8 27B: 50.5 (#44)
| Benchmark | Claude Sonnet 5.5 | Qwen3.8 27B |
|---|---|---|
| LMArena WebDev | 1774 | 1593 |
| SciCode | 61% | 46.6% |
| LMArena Coding | 1513 | 1482 |
| FrontierCode | 52.1% | — |
| CursorBench | 55.5% | — |
| FrontierSWE | 61.9% | — |
| ALE-Bench | 1,819 | — |
Agentic & Tool Use Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 45.0 (#16), Qwen3.8 27B: 32.9 (#57)
| Benchmark | Claude Sonnet 5.5 | Qwen3.8 27B |
|---|---|---|
| APEX-Agents | 75.5% | 47.5% |
Reasoning Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 54.0 (#28), Qwen3.8 27B: 41.0 (#54)
| Benchmark | Claude Sonnet 5.5 | Qwen3.8 27B |
|---|---|---|
| NYT Connections (extended) | 80.5% | 54.5% |
| CritPt | 31.4% | 5.4% |
| LMArena Hard Prompts | 1495 | 1460 |
| Epoch Capabilities Index | 165.03 | 149.38 |
| ARC-AGI-2 | — | 42.4% |
| ARC-AGI-1 | — | 87.5% |
| Mystery Game Puzzles | 65% | — |
| DTBench | — | 88% |
| LMCA | — | 41.4% |
| Surface Evolver Bench | — | 45% |
Math Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 87.9 (#6), Qwen3.8 27B: 37.1 (#161)
| Benchmark | Claude Sonnet 5.5 | Qwen3.8 27B |
|---|---|---|
| ProofBench | 100% | 16% |
| LMArena Math | 1510 | 1456 |
| FrontierMath (Tiers 1-3) | 88.8% | — |
| FrontierMath Tier 4 | 80.5% | — |
| OTIS Mock AIME 2024-2025 | 100% | — |
| FrontierMath Erdős | 2.9% | — |
Knowledge Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 66.0 (#12), Qwen3.8 27B: 41.6 (#109)
| Benchmark | Claude Sonnet 5.5 | Qwen3.8 27B |
|---|---|---|
| LMArena Expert | 1540 | 1482 |
| GPQA Diamond | 95.6% | — |
| SimpleQA Verified | 46.5% | — |
Multimodal Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 51.5 (#6), Qwen3.8 27B: 41.3 (#37)
| Benchmark | Claude Sonnet 5.5 | Qwen3.8 27B |
|---|---|---|
| LMArena Vision | 1289 | 1271 |
| Furniture Assembly | 75% | — |
Multilingual Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 55.3 (#30), Qwen3.8 27B: 53.7 (#60)
| Benchmark | Claude Sonnet 5.5 | Qwen3.8 27B |
|---|---|---|
| LMArena Non-English | 1452 | 1430 |
| LMArena Chinese | 1522 | 1504 |
| LMArena Russian | 1451 | 1415 |
| LMArena French | — | 1465 |
| LMArena German | — | 1438 |
| LMArena Japanese | — | 1384 |
| LMArena Korean | — | 1393 |
| LMArena Spanish | — | 1448 |
Instruction Following Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 78.3 (#11), Qwen3.8 27B: 75.8 (#53)
| Benchmark | Claude Sonnet 5.5 | Qwen3.8 27B |
|---|---|---|
| LMArena Instruction Following | 1495 | 1439 |
Long Context Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 45.9 (#28), Qwen3.8 27B: 44.3 (#70)
| Benchmark | Claude Sonnet 5.5 | Qwen3.8 27B |
|---|---|---|
| LMArena Longer Query | 1498 | 1450 |
Writing & Preference Too close to call
Claude Sonnet 5.5: 66.0 (#40), Qwen3.8 27B: 65.8 (#43)
| Benchmark | Claude Sonnet 5.5 | Qwen3.8 27B |
|---|---|---|
| LMArena Text | 1471 | 1441 |
| LMArena Creative Writing | 1465 | 1384 |
| LMArena Multi-Turn | 1474 | 1441 |
| EQ-Bench Creative Writing | — | 1671 |
Frequently asked questions
Is Claude Sonnet 5.5 better than Qwen3.8 27B?
Claude Sonnet 5.5 is the stronger model overall, scoring 61.9 to 46.0 on the Noometry Index. Qwen3.8 27B costs 6.6× less per token, which makes it the better buy when Claude Sonnet 5.5's lead doesn't matter for your workload.
Which is cheaper, Claude Sonnet 5.5 or Qwen3.8 27B?
Qwen3.8 27B is cheaper. It lists at $0.04 per million input tokens and $2.30 per million output tokens; Claude Sonnet 5.5 lists at $2 and $10.
Is Claude Sonnet 5.5 or Qwen3.8 27B better for coding?
Claude Sonnet 5.5 scores higher on coding benchmarks: 67.3 versus 50.5 in the Noometry coding category.
Which has the bigger context window?
Claude Sonnet 5.5 does, with 1M tokens against 262K.
How many benchmarks do Claude Sonnet 5.5 and Qwen3.8 27B share?
20 benchmarks have published results for both models. Claude Sonnet 5.5 has 32 scored results on Noometry and Qwen3.8 27B has 31.