Model comparison
GPT-5.5 Pro vs Qwen2.5-Coder (1.5B)
GPT-5.5 Pro has enough public results to be ranked (#8); Qwen2.5-Coder (1.5B) does not yet, so treat this comparison as directional.
Last verified . 1 shared benchmarks.
Alibaba (Qwen)Summary
- They share 1 benchmark with published results for both.
- Qwen2.5-Coder (1.5B) has downloadable open weights; the other is API-only.
Side by side
| GPT-5.5 Pro | Qwen2.5-Coder (1.5B) | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 64.3 | — |
| Released | 2026-04-23 | 2024-09-18 |
| Weights | Proprietary | Open |
| Context window | 1.05M | — |
| Max output | 128K | — |
| Input $ / M tokens | $30 | — |
| Output $ / M tokens | $180 | — |
| Results tracked | 14 | 6 |
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Category by category
Reasoning Not comparable
GPT-5.5 Pro: 73.3 (#10), Qwen2.5-Coder (1.5B): —
| Benchmark | GPT-5.5 Pro | Qwen2.5-Coder (1.5B) |
|---|---|---|
| Epoch Capabilities Index | 162.07 | 113.14 |
| ARC-AGI-2 | 84.6% | — |
| SimpleBench | 76.9% | — |
| ARC-AGI-1 | 96.5% | — |
| CritPt | 30.6% | — |
| Chess Puzzles | 64% | — |
| DTBench | 96% | — |
| LMCA | 53.9% | — |
| HellaSwag | — | 76.8% |
| WinoGrande | — | 72.9% |
Math Not comparable
GPT-5.5 Pro: 84.0 (#10), Qwen2.5-Coder (1.5B): —
| Benchmark | GPT-5.5 Pro | Qwen2.5-Coder (1.5B) |
|---|---|---|
| FrontierMath (Tiers 1-3) | 87.7% | — |
| FrontierMath Tier 4 | 78% | — |
| OTIS Mock AIME 2024-2025 | 100% | — |
| FrontierMath (Feb 2025 set) | 52.4% | — |
| FrontierMath Tier 4 (v1) | 39.6% | — |
| GSM8K | — | 86.7% |
Knowledge Not comparable
GPT-5.5 Pro: 64.1 (#19), Qwen2.5-Coder (1.5B): —
| Benchmark | GPT-5.5 Pro | Qwen2.5-Coder (1.5B) |
|---|---|---|
| GPQA Diamond | 93.9% | — |
| ARC (AI2) Challenge | — | 60.9% |
| MMLU | — | 68% |
Frequently asked questions
Is GPT-5.5 Pro better than Qwen2.5-Coder (1.5B)?
GPT-5.5 Pro has enough public results to be ranked (#8); Qwen2.5-Coder (1.5B) does not yet, so treat this comparison as directional.
How many benchmarks do GPT-5.5 Pro and Qwen2.5-Coder (1.5B) share?
1 benchmark has published results for both models. GPT-5.5 Pro has 14 scored results on Noometry and Qwen2.5-Coder (1.5B) has 6.