Model comparison
GPT-5.5 Pro vs Qwen1.5-14B
GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 32.7 on the Noometry Index.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)Summary
- The widest gap is in reasoning, where GPT-5.5 Pro leads 73.3 to 21.4.
- Qwen1.5-14B has downloadable open weights; the other is API-only.
Side by side
| GPT-5.5 Pro | Qwen1.5-14B | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 64.3 | 32.7 |
| 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 | 17 |
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Category by category
Coding Not comparable
GPT-5.5 Pro: —, Qwen1.5-14B: 33.1 (#263)
| Benchmark | GPT-5.5 Pro | Qwen1.5-14B |
|---|---|---|
| LMArena Coding | — | 1138 |
Reasoning GPT-5.5 Pro leads
GPT-5.5 Pro: 73.3 (#10), Qwen1.5-14B: 21.4 (#223)
| Benchmark | GPT-5.5 Pro | Qwen1.5-14B |
|---|---|---|
| ARC-AGI-2 | 84.6% | — |
| SimpleBench | 76.9% | — |
| ARC-AGI-1 | 96.5% | — |
| CritPt | 30.6% | — |
| Chess Puzzles | 64% | — |
| LMArena Hard Prompts | — | 1113 |
| DTBench | 96% | — |
| LMCA | 53.9% | — |
| Epoch Capabilities Index | 162.07 | — |
Math GPT-5.5 Pro leads
GPT-5.5 Pro: 84.0 (#10), Qwen1.5-14B: 32.4 (#215)
| Benchmark | GPT-5.5 Pro | Qwen1.5-14B |
|---|---|---|
| FrontierMath (Tiers 1-3) | 87.7% | — |
| FrontierMath Tier 4 | 78% | — |
| OTIS Mock AIME 2024-2025 | 100% | — |
| LMArena Math | — | 1125 |
| 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), Qwen1.5-14B: 29.8 (#232)
| Benchmark | GPT-5.5 Pro | Qwen1.5-14B |
|---|---|---|
| GPQA Diamond | 93.9% | — |
| LMArena Expert | — | 1094 |
| MMLU | — | 68.6% |
Multilingual Not comparable
GPT-5.5 Pro: —, Qwen1.5-14B: 30.7 (#262)
| Benchmark | GPT-5.5 Pro | Qwen1.5-14B |
|---|---|---|
| LMArena Non-English | — | 1095 |
| LMArena Chinese | — | 1147 |
| LMArena French | — | 1116 |
| LMArena German | — | 1043 |
| LMArena Japanese | — | 1019 |
| LMArena Russian | — | 1046 |
| LMArena Spanish | — | 1085 |
Instruction Following Not comparable
GPT-5.5 Pro: —, Qwen1.5-14B: 56.8 (#271)
| Benchmark | GPT-5.5 Pro | Qwen1.5-14B |
|---|---|---|
| LMArena Instruction Following | — | 1102 |
Long Context Not comparable
GPT-5.5 Pro: —, Qwen1.5-14B: 33.7 (#257)
| Benchmark | GPT-5.5 Pro | Qwen1.5-14B |
|---|---|---|
| LMArena Longer Query | — | 1113 |
Writing & Preference Not comparable
GPT-5.5 Pro: —, Qwen1.5-14B: 33.6 (#276)
| Benchmark | GPT-5.5 Pro | Qwen1.5-14B |
|---|---|---|
| LMArena Text | — | 1128 |
| LMArena Creative Writing | — | 1091 |
| LMArena Multi-Turn | — | 1110 |
Frequently asked questions
Is GPT-5.5 Pro better than Qwen1.5-14B?
GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 32.7 on the Noometry Index.
How many benchmarks do GPT-5.5 Pro and Qwen1.5-14B share?
0 benchmarks have published results for both models. GPT-5.5 Pro has 14 scored results on Noometry and Qwen1.5-14B has 17.