Model comparison
GPT-5.5 Pro vs Qwen3.5 27B
GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 41.9 on the Noometry Index. Qwen3.5 27B costs 82× less per token, which makes it the better buy when GPT-5.5 Pro's lead doesn't matter for your workload.
Last verified . 2 shared benchmarks.
Alibaba (Qwen)Summary
- They share 2 benchmarks with published results for both. GPT-5.5 Pro scores higher in 3 categories and Qwen3.5 27B in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-5.5 Pro leads 73.3 to 27.5.
- The biggest single-benchmark swing is LMCA: 53.9% for GPT-5.5 Pro and 34% for Qwen3.5 27B.
- Qwen3.5 27B is cheaper at $0.30 / $2.40 per million input/output tokens, against $30 / $180 for GPT-5.5 Pro.
- GPT-5.5 Pro accepts more context: 1.05M tokens versus 262K.
- Qwen3.5 27B has downloadable open weights; the other is API-only.
Side by side
| GPT-5.5 Pro | Qwen3.5 27B | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 64.3 | 41.9 |
| Released | 2026-04-23 | 2026-02-23 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 128K | 66K |
| Input $ / M tokens | $30 | $0.30 |
| Output $ / M tokens | $180 | $2.40 |
| Results tracked | 14 | 28 |
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Category by category
Coding Not comparable
GPT-5.5 Pro: —, Qwen3.5 27B: 38.9 (#168)
| Benchmark | GPT-5.5 Pro | Qwen3.5 27B |
|---|---|---|
| LMArena WebDev | — | 1358 |
| WeirdML | — | 39.5% |
| LMArena Coding | — | 1427 |
| ALE-Bench | — | 349.45 |
Agentic & Tool Use Not comparable
GPT-5.5 Pro: —, Qwen3.5 27B: —
| Benchmark | GPT-5.5 Pro | Qwen3.5 27B |
|---|---|---|
| Vending-Bench 2 | — | 201.98 |
Reasoning GPT-5.5 Pro leads
GPT-5.5 Pro: 73.3 (#10), Qwen3.5 27B: 27.5 (#117)
| Benchmark | GPT-5.5 Pro | Qwen3.5 27B |
|---|---|---|
| DTBench | 96% | 82.4% |
| LMCA | 53.9% | 34% |
| ARC-AGI-2 | 84.6% | — |
| SimpleBench | 76.9% | — |
| NYT Connections (extended) | — | 47.9% |
| ARC-AGI-1 | 96.5% | — |
| CritPt | 30.6% | — |
| Chess Puzzles | 64% | — |
| Thematic Generalization | — | 45.5% |
| LMArena Hard Prompts | — | 1414 |
| Epoch Capabilities Index | 162.07 | — |
Math GPT-5.5 Pro leads
GPT-5.5 Pro: 84.0 (#10), Qwen3.5 27B: 38.8 (#127)
| Benchmark | GPT-5.5 Pro | Qwen3.5 27B |
|---|---|---|
| FrontierMath (Tiers 1-3) | 87.7% | — |
| FrontierMath Tier 4 | 78% | — |
| MathArena Final-Answer Competitions | — | 56.7% |
| OTIS Mock AIME 2024-2025 | 100% | — |
| LMArena Math | — | 1429 |
| FrontierMath (Feb 2025 set) | 52.4% | — |
| FrontierMath Tier 4 (v1) | 39.6% | — |
Knowledge GPT-5.5 Pro leads
GPT-5.5 Pro: 64.1 (#19), Qwen3.5 27B: 38.0 (#150)
| Benchmark | GPT-5.5 Pro | Qwen3.5 27B |
|---|---|---|
| GPQA Diamond | 93.9% | — |
| Vectara Hallucination Rate | — | 12.1% |
| LMArena Expert | — | 1428 |
Multimodal Not comparable
GPT-5.5 Pro: —, Qwen3.5 27B: 39.4 (#59)
| Benchmark | GPT-5.5 Pro | Qwen3.5 27B |
|---|---|---|
| LMArena Vision | — | 1241 |
Multilingual Not comparable
GPT-5.5 Pro: —, Qwen3.5 27B: 50.8 (#115)
| Benchmark | GPT-5.5 Pro | Qwen3.5 27B |
|---|---|---|
| LMArena Non-English | — | 1390 |
| LMArena Chinese | — | 1478 |
| LMArena French | — | 1410 |
| LMArena German | — | 1393 |
| LMArena Japanese | — | 1345 |
| LMArena Korean | — | 1358 |
| LMArena Russian | — | 1390 |
| LMArena Spanish | — | 1407 |
Instruction Following Not comparable
GPT-5.5 Pro: —, Qwen3.5 27B: 73.5 (#119)
| Benchmark | GPT-5.5 Pro | Qwen3.5 27B |
|---|---|---|
| LMArena Instruction Following | — | 1393 |
Long Context Not comparable
GPT-5.5 Pro: —, Qwen3.5 27B: 43.1 (#106)
| Benchmark | GPT-5.5 Pro | Qwen3.5 27B |
|---|---|---|
| LMArena Longer Query | — | 1413 |
Writing & Preference Not comparable
GPT-5.5 Pro: —, Qwen3.5 27B: 59.3 (#111)
| Benchmark | GPT-5.5 Pro | Qwen3.5 27B |
|---|---|---|
| LMArena Text | — | 1409 |
| LMArena Creative Writing | — | 1362 |
| LMArena Multi-Turn | — | 1410 |
Frequently asked questions
Is GPT-5.5 Pro better than Qwen3.5 27B?
GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 41.9 on the Noometry Index. Qwen3.5 27B costs 82× less per token, which makes it the better buy when GPT-5.5 Pro's lead doesn't matter for your workload.
Which is cheaper, GPT-5.5 Pro 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; GPT-5.5 Pro lists at $30 and $180.
Which has the bigger context window?
GPT-5.5 Pro does, with 1.05M tokens against 262K.
How many benchmarks do GPT-5.5 Pro and Qwen3.5 27B share?
2 benchmarks have published results for both models. GPT-5.5 Pro has 14 scored results on Noometry and Qwen3.5 27B has 28.