Model comparison
GPT-5.5 Pro vs QwQ-32B
GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 39.8 on the Noometry Index.
Last verified . 4 shared benchmarks.
Alibaba (Qwen)Summary
- They share 4 benchmarks with published results for both. GPT-5.5 Pro scores higher in 3 categories and QwQ-32B 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 23.7.
- The biggest single-benchmark swing is Chess Puzzles: 64% for GPT-5.5 Pro and 5% for QwQ-32B.
- QwQ-32B has downloadable open weights; the other is API-only.
Side by side
| GPT-5.5 Pro | QwQ-32B | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 64.3 | 39.8 |
| Released | 2026-04-23 | 2024-11-28 |
| Weights | Proprietary | Open |
| Context window | 1.05M | — |
| Max output | 128K | — |
| Input $ / M tokens | $30 | — |
| Output $ / M tokens | $180 | — |
| Results tracked | 14 | 36 |
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Category by category
Coding Not comparable
GPT-5.5 Pro: —, QwQ-32B: 35.4 (#226)
| Benchmark | GPT-5.5 Pro | QwQ-32B |
|---|---|---|
| Aider Polyglot | — | 20.9% |
| BigCodeBench Instruct | — | 44.6% |
| LiveBench Coding | — | 72.2% |
| LMArena Coding | — | 1333 |
| BigCodeBench Complete | — | 54.4% |
Reasoning GPT-5.5 Pro leads
GPT-5.5 Pro: 73.3 (#10), QwQ-32B: 23.7 (#174)
| Benchmark | GPT-5.5 Pro | QwQ-32B |
|---|---|---|
| Chess Puzzles | 64% | 5% |
| Epoch Capabilities Index | 162.07 | 137.6 |
| ARC-AGI-2 | 84.6% | — |
| SimpleBench | 76.9% | — |
| ARC-AGI-1 | 96.5% | — |
| CritPt | 30.6% | — |
| LiveBench Reasoning | — | 83.5% |
| LMArena Hard Prompts | — | 1325 |
| DTBench | 96% | — |
| LiveBench Data Analysis | — | 65% |
| LMCA | 53.9% | — |
| ForecastBench | — | 58.3 |
| LiveBench | — | 72% |
Math GPT-5.5 Pro leads
GPT-5.5 Pro: 84.0 (#10), QwQ-32B: 38.0 (#143)
| Benchmark | GPT-5.5 Pro | QwQ-32B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 100% | 59.2% |
| FrontierMath (Tiers 1-3) | 87.7% | — |
| FrontierMath Tier 4 | 78% | — |
| LiveBench Math | — | 77.8% |
| LMArena Math | — | 1359 |
| 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), QwQ-32B: 37.2 (#158)
| Benchmark | GPT-5.5 Pro | QwQ-32B |
|---|---|---|
| GPQA Diamond | 93.9% | 65.3% |
| Confabulations | — | 15.6% |
| LMArena Expert | — | 1324 |
Multilingual Not comparable
GPT-5.5 Pro: —, QwQ-32B: 44.8 (#176)
| Benchmark | GPT-5.5 Pro | QwQ-32B |
|---|---|---|
| LMArena Non-English | — | 1305 |
| LMArena Chinese | — | 1378 |
| LMArena French | — | 1336 |
| LMArena German | — | 1313 |
| LMArena Japanese | — | 1262 |
| LMArena Korean | — | 1279 |
| LMArena Russian | — | 1297 |
| LMArena Spanish | — | 1354 |
Instruction Following Not comparable
GPT-5.5 Pro: —, QwQ-32B: 72.6 (#137)
| Benchmark | GPT-5.5 Pro | QwQ-32B |
|---|---|---|
| LiveBench Instruction Following | — | 81.8% |
| LMArena Instruction Following | — | 1297 |
Long Context Not comparable
GPT-5.5 Pro: —, QwQ-32B: 49.0 (#11)
| Benchmark | GPT-5.5 Pro | QwQ-32B |
|---|---|---|
| Fiction.LiveBench | — | 83.3% |
| LMArena Longer Query | — | 1308 |
Writing & Preference Not comparable
GPT-5.5 Pro: —, QwQ-32B: 50.6 (#180)
| Benchmark | GPT-5.5 Pro | QwQ-32B |
|---|---|---|
| LMArena Text | — | 1329 |
| LMArena Creative Writing | — | 1288 |
| Short-Story Creative Writing | — | 80.2% |
| EQ-Bench Creative Writing | — | 1257 |
| LMArena Multi-Turn | — | 1314 |
| LiveBench Language | — | 51.4% |
Frequently asked questions
Is GPT-5.5 Pro better than QwQ-32B?
GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 39.8 on the Noometry Index.
How many benchmarks do GPT-5.5 Pro and QwQ-32B share?
4 benchmarks have published results for both models. GPT-5.5 Pro has 14 scored results on Noometry and QwQ-32B has 36.