Model comparison
Claude Opus 5.5 vs Qwen3.6 27B
Claude Opus 5.5 is the stronger model overall, scoring 68.6 to 42.2 on the Noometry Index. Qwen3.6 27B costs 5.9× less per token, which makes it the better buy when Claude Opus 5.5's lead doesn't matter for your workload.
Last verified . 9 shared benchmarks.
Summary
- They share 9 benchmarks with published results for both. Claude Opus 5.5 scores higher in 5 categories and Qwen3.6 27B in 0 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Claude Opus 5.5 leads 80.2 to 25.0.
- The biggest single-benchmark swing is Mystery Game Puzzles: 71% for Claude Opus 5.5 and 7% for Qwen3.6 27B.
- Qwen3.6 27B is cheaper at $0.60 / $3.60 per million input/output tokens, against $4 / $20 for Claude Opus 5.5.
- Claude Opus 5.5 accepts more context: 1M tokens versus 262K.
- Qwen3.6 27B has downloadable open weights; the other is API-only.
Side by side
| Claude Opus 5.5 | Qwen3.6 27B | |
|---|---|---|
| Provider | Anthropic | Alibaba (Qwen) |
| Noometry Index | 68.6 | 42.2 |
| Released | 2026-09-22 | 2026-04-22 |
| Weights | Proprietary | Open |
| Context window | 1M | 262K |
| Max output | 128K | 66K |
| Input $ / M tokens | $4 | $0.60 |
| Output $ / M tokens | $20 | $3.60 |
| Results tracked | 44 | 11 |
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Category by category
Coding Claude Opus 5.5 leads
Claude Opus 5.5: 71.9 (#3), Qwen3.6 27B: 39.1 (#163)
| Benchmark | Claude Opus 5.5 | Qwen3.6 27B |
|---|---|---|
| SciCode | 66.9% | 37.3% |
| FrontierCode | 54.6% | — |
| CursorBench | 57.8% | — |
| LMArena WebDev | 1813 | — |
| FrontierSWE | 62.3% | — |
| LMArena Coding | 1547 | — |
| MirrorCode | 77.4% | — |
| ALE-Bench | 2,147 | — |
Agentic & Tool Use Not comparable
Claude Opus 5.5: 45.3 (#15), Qwen3.6 27B: —
| Benchmark | Claude Opus 5.5 | Qwen3.6 27B |
|---|---|---|
| APEX-Agents | 73.5% | — |
| GDP.pdf | 30.6% | — |
| Vending-Bench 2 | 9,235 | — |
Reasoning Claude Opus 5.5 leads
Claude Opus 5.5: 80.2 (#3), Qwen3.6 27B: 25.0 (#153)
| Benchmark | Claude Opus 5.5 | Qwen3.6 27B |
|---|---|---|
| CritPt | 31.7% | 0.9% |
| Mystery Game Puzzles | 71% | 7% |
| DTBench | 98.9% | 78.1% |
| LMCA | 68.2% | 34.5% |
| Epoch Capabilities Index | 167.33 | 146.5 |
| ARC-AGI-2 | 93.3% | — |
| NYT Connections (extended) | 88.5% | — |
| ARC-AGI-1 | 98.5% | — |
| Chess Puzzles | — | 22% |
| EBR-Bench | 71.4% | — |
| LMArena Hard Prompts | 1535 | — |
Math Claude Opus 5.5 leads
Claude Opus 5.5: 91.8 (#3), Qwen3.6 27B: 48.5 (#62)
| Benchmark | Claude Opus 5.5 | Qwen3.6 27B |
|---|---|---|
| FrontierMath (Tiers 1-3) | 91.2% | 35.1% |
| OTIS Mock AIME 2024-2025 | 100% | 91.1% |
| FrontierMath Tier 4 | 95% | — |
| ProofBench | 100% | — |
| LMArena Math | 1506 | — |
| FrontierMath Erdős | 2.9% | — |
Knowledge Claude Opus 5.5 leads
Claude Opus 5.5: 66.4 (#10), Qwen3.6 27B: 52.4 (#63)
| Benchmark | Claude Opus 5.5 | Qwen3.6 27B |
|---|---|---|
| GPQA Diamond | 90.6% | 85.9% |
| SimpleQA Verified | 72.2% | — |
| LMArena Expert | 1547 | — |
Multimodal Not comparable
Claude Opus 5.5: 57.8 (#1), Qwen3.6 27B: —
| Benchmark | Claude Opus 5.5 | Qwen3.6 27B |
|---|---|---|
| LMArena Vision | 1321 | — |
| Blueprint-Bench 2 | 51.2% | — |
| Furniture Assembly | 83.3% | — |
Multilingual Not comparable
Claude Opus 5.5: 59.1 (#2), Qwen3.6 27B: —
| Benchmark | Claude Opus 5.5 | Qwen3.6 27B |
|---|---|---|
| LMArena Non-English | 1507 | — |
| LMArena Chinese | 1588 | — |
| LMArena French | 1514 | — |
| LMArena Russian | 1520 | — |
| LMArena Spanish | 1507 | — |
Instruction Following Not comparable
Claude Opus 5.5: 80.0 (#3), Qwen3.6 27B: —
| Benchmark | Claude Opus 5.5 | Qwen3.6 27B |
|---|---|---|
| LMArena Instruction Following | 1537 | — |
Long Context Not comparable
Claude Opus 5.5: 47.1 (#19), Qwen3.6 27B: —
| Benchmark | Claude Opus 5.5 | Qwen3.6 27B |
|---|---|---|
| LMArena Longer Query | 1532 | — |
Writing & Preference Claude Opus 5.5 leads
Claude Opus 5.5: 78.2 (#3), Qwen3.6 27B: 50.3 (#181)
| Benchmark | Claude Opus 5.5 | Qwen3.6 27B |
|---|---|---|
| LMArena Text | 1515 | — |
| LMArena Creative Writing | 1533 | — |
| EQ-Bench Creative Writing | 2050 | — |
| EQ-Bench 4 | — | 1026 |
| LMArena Multi-Turn | 1499 | — |
Frequently asked questions
Is Claude Opus 5.5 better than Qwen3.6 27B?
Claude Opus 5.5 is the stronger model overall, scoring 68.6 to 42.2 on the Noometry Index. Qwen3.6 27B costs 5.9× less per token, which makes it the better buy when Claude Opus 5.5's lead doesn't matter for your workload.
Which is cheaper, Claude Opus 5.5 or Qwen3.6 27B?
Qwen3.6 27B is cheaper. It lists at $0.60 per million input tokens and $3.60 per million output tokens; Claude Opus 5.5 lists at $4 and $20.
Is Claude Opus 5.5 or Qwen3.6 27B better for coding?
Claude Opus 5.5 scores higher on coding benchmarks: 71.9 versus 39.1 in the Noometry coding category.
Which has the bigger context window?
Claude Opus 5.5 does, with 1M tokens against 262K.
How many benchmarks do Claude Opus 5.5 and Qwen3.6 27B share?
9 benchmarks have published results for both models. Claude Opus 5.5 has 44 scored results on Noometry and Qwen3.6 27B has 11.