Model comparison
GPT-5.5 Pro vs Qwen2.5-Coder-32B
GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 33.4 on the Noometry Index. Qwen2.5-Coder-32B costs 91× less per token, which makes it the better buy when GPT-5.5 Pro's lead doesn't matter for your workload.
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 Qwen2.5-Coder-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 21.2.
- Qwen2.5-Coder-32B is cheaper at $0.66 / $1 per million input/output tokens, against $30 / $180 for GPT-5.5 Pro.
- GPT-5.5 Pro accepts more context: 1.05M tokens versus 33K.
- Qwen2.5-Coder-32B has downloadable open weights; the other is API-only.
Side by side
| GPT-5.5 Pro | Qwen2.5-Coder-32B | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 64.3 | 33.4 |
| Released | 2026-04-23 | 2024-09-18 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 33K |
| Max output | 128K | 29K |
| Input $ / M tokens | $30 | $0.66 |
| Output $ / M tokens | $180 | $1 |
| Results tracked | 14 | 31 |
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Category by category
Coding Not comparable
GPT-5.5 Pro: —, Qwen2.5-Coder-32B: 22.6 (#333)
| Benchmark | GPT-5.5 Pro | Qwen2.5-Coder-32B |
|---|---|---|
| SWE-bench Verified (bash only) | — | 9% |
| Aider Polyglot | — | 16.4% |
| BigCodeBench Instruct | — | 49% |
| LiveBench Coding | — | 56.9% |
| LMArena Coding | — | 1276 |
| BigCodeBench Complete | — | 58% |
| HumanEval+ | — | 87.2% |
| MBPP+ | — | 77% |
Reasoning GPT-5.5 Pro leads
GPT-5.5 Pro: 73.3 (#10), Qwen2.5-Coder-32B: 21.2 (#225)
| Benchmark | GPT-5.5 Pro | Qwen2.5-Coder-32B |
|---|---|---|
| Epoch Capabilities Index | 162.07 | 119.49 |
| ARC-AGI-2 | 84.6% | — |
| SimpleBench | 76.9% | — |
| ARC-AGI-1 | 96.5% | — |
| CritPt | 30.6% | — |
| Chess Puzzles | 64% | — |
| LiveBench Reasoning | — | 42.1% |
| LMArena Hard Prompts | — | 1251 |
| DTBench | 96% | — |
| LiveBench Data Analysis | — | 49.9% |
| LMCA | 53.9% | — |
| HellaSwag | — | 83% |
| LiveBench | — | 46.2% |
| WinoGrande | — | 80.8% |
Math GPT-5.5 Pro leads
GPT-5.5 Pro: 84.0 (#10), Qwen2.5-Coder-32B: 33.3 (#204)
| Benchmark | GPT-5.5 Pro | Qwen2.5-Coder-32B |
|---|---|---|
| FrontierMath (Tiers 1-3) | 87.7% | — |
| FrontierMath Tier 4 | 78% | — |
| OTIS Mock AIME 2024-2025 | 100% | — |
| LiveBench Math | — | 46.6% |
| LMArena Math | — | 1251 |
| FrontierMath (Feb 2025 set) | 52.4% | — |
| FrontierMath Tier 4 (v1) | 39.6% | — |
| GSM8K | — | 93% |
Knowledge GPT-5.5 Pro leads
GPT-5.5 Pro: 64.1 (#19), Qwen2.5-Coder-32B: 33.4 (#203)
| Benchmark | GPT-5.5 Pro | Qwen2.5-Coder-32B |
|---|---|---|
| GPQA Diamond | 93.9% | — |
| LMArena Expert | — | 1221 |
| ARC (AI2) Challenge | — | 70.5% |
| MMLU | — | 79.1% |
Multilingual Not comparable
GPT-5.5 Pro: —, Qwen2.5-Coder-32B: 37.8 (#235)
| Benchmark | GPT-5.5 Pro | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Non-English | — | 1205 |
| LMArena Chinese | — | 1222 |
| LMArena Russian | — | 1228 |
Instruction Following Not comparable
GPT-5.5 Pro: —, Qwen2.5-Coder-32B: 61.4 (#245)
| Benchmark | GPT-5.5 Pro | Qwen2.5-Coder-32B |
|---|---|---|
| LiveBench Instruction Following | — | 58.7% |
| LMArena Instruction Following | — | 1223 |
Long Context Not comparable
GPT-5.5 Pro: —, Qwen2.5-Coder-32B: 38.0 (#208)
| Benchmark | GPT-5.5 Pro | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Longer Query | — | 1251 |
Writing & Preference Not comparable
GPT-5.5 Pro: —, Qwen2.5-Coder-32B: 41.6 (#240)
| Benchmark | GPT-5.5 Pro | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Text | — | 1230 |
| LMArena Creative Writing | — | 1174 |
| LMArena Multi-Turn | — | 1222 |
| LiveBench Language | — | 23.3% |
Frequently asked questions
Is GPT-5.5 Pro better than Qwen2.5-Coder-32B?
GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 33.4 on the Noometry Index. Qwen2.5-Coder-32B costs 91× 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 Qwen2.5-Coder-32B?
Qwen2.5-Coder-32B is cheaper. It lists at $0.66 per million input tokens and $1 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 33K.
How many benchmarks do GPT-5.5 Pro and Qwen2.5-Coder-32B share?
1 benchmark has published results for both models. GPT-5.5 Pro has 14 scored results on Noometry and Qwen2.5-Coder-32B has 31.