Model comparison
GPT-5.5 Pro vs Qwen1.5-32B
GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 30.0 on the Noometry Index.
Last verified . 1 shared benchmarks.
Alibaba (Qwen)Summary
- They share 1 benchmark with published results for both. GPT-5.5 Pro scores higher in 3 categories and Qwen1.5-32B in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5.5 Pro leads 83.8 to 30.5.
- The biggest single-benchmark swing is GPQA Diamond: 93.9% for GPT-5.5 Pro and 30.7% for Qwen1.5-32B.
- Qwen1.5-32B has downloadable open weights; the other is API-only.
Side by side
| GPT-5.5 Pro | Qwen1.5-32B | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 64.3 | 30.0 |
| Released | 2026-04-23 | 2024-02-04 |
| Weights | Proprietary | Open |
| Context window | 1.05M | — |
| Max output | 128K | — |
| Input $ / M tokens | $30 | — |
| Output $ / M tokens | $180 | — |
| Results tracked | 14 | 21 |
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Category by category
Coding Not comparable
GPT-5.5 Pro: —, Qwen1.5-32B: 31.1 (#278)
| Benchmark | GPT-5.5 Pro | Qwen1.5-32B |
|---|---|---|
| BigCodeBench Instruct | — | 32.3% |
| LMArena Coding | — | 1155 |
| BigCodeBench Complete | — | 42% |
Reasoning GPT-5.5 Pro leads
GPT-5.5 Pro: 73.6 (#7), Qwen1.5-32B: 20.9 (#210)
| Benchmark | GPT-5.5 Pro | Qwen1.5-32B |
|---|---|---|
| ARC-AGI-2 | 84.6% | — |
| SimpleBench | 76.9% | — |
| ARC-AGI-1 | 96.5% | — |
| CritPt | 30.6% | — |
| Chess Puzzles | 64% | — |
| LMArena Hard Prompts | — | 1131 |
| DTBench | 96% | — |
| LMCA | 53.9% | — |
| Epoch Capabilities Index | 162.45 | — |
Math GPT-5.5 Pro leads
GPT-5.5 Pro: 83.8 (#8), Qwen1.5-32B: 30.5 (#207)
| Benchmark | GPT-5.5 Pro | Qwen1.5-32B |
|---|---|---|
| FrontierMath (Tiers 1-3) | 87.7% | — |
| FrontierMath Tier 4 | 78% | — |
| OTIS Mock AIME 2024-2025 | 100% | — |
| LMArena Math | — | 1155 |
| FrontierMath (Feb 2025 set) | 52.4% | — |
| FrontierMath Tier 4 (v1) | 39.6% | — |
Knowledge GPT-5.5 Pro leads
GPT-5.5 Pro: 64.2 (#17), Qwen1.5-32B: 13.5 (#291)
| Benchmark | GPT-5.5 Pro | Qwen1.5-32B |
|---|---|---|
| GPQA Diamond | 93.9% | 30.7% |
| LMArena Expert | — | 1126 |
| MMLU | — | 74.4% |
Multilingual Not comparable
GPT-5.5 Pro: —, Qwen1.5-32B: 31.6 (#254)
| Benchmark | GPT-5.5 Pro | Qwen1.5-32B |
|---|---|---|
| LMArena Non-English | — | 1106 |
| LMArena Chinese | — | 1176 |
| LMArena French | — | 1100 |
| LMArena German | — | 1058 |
| LMArena Japanese | — | 1027 |
| LMArena Korean | — | 1007 |
| LMArena Russian | — | 1073 |
| LMArena Spanish | — | 1089 |
Instruction Following Not comparable
GPT-5.5 Pro: —, Qwen1.5-32B: 58.0 (#260)
| Benchmark | GPT-5.5 Pro | Qwen1.5-32B |
|---|---|---|
| LMArena Instruction Following | — | 1116 |
Long Context Not comparable
GPT-5.5 Pro: —, Qwen1.5-32B: 34.7 (#241)
| Benchmark | GPT-5.5 Pro | Qwen1.5-32B |
|---|---|---|
| LMArena Longer Query | — | 1146 |
Writing & Preference Not comparable
GPT-5.5 Pro: —, Qwen1.5-32B: 34.4 (#266)
| Benchmark | GPT-5.5 Pro | Qwen1.5-32B |
|---|---|---|
| LMArena Text | — | 1137 |
| LMArena Creative Writing | — | 1083 |
| LMArena Multi-Turn | — | 1140 |
Frequently asked questions
Is GPT-5.5 Pro better than Qwen1.5-32B?
GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 30.0 on the Noometry Index.
How many benchmarks do GPT-5.5 Pro and Qwen1.5-32B share?
1 benchmark has published results for both models. GPT-5.5 Pro has 14 scored results on Noometry and Qwen1.5-32B has 21.