Model comparison
GPT-5.5 Pro vs Qwen-14B
GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 30.8 on the Noometry Index.
Last verified . 1 shared benchmarks.
Summary
- They share 1 benchmark with published results for both. GPT-5.5 Pro scores higher in 2 categories and Qwen-14B in 0 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5.5 Pro leads 83.8 to 28.7.
- Qwen-14B has downloadable open weights; the other is API-only.
Side by side
| GPT-5.5 Pro | Qwen-14B | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 64.3 | 30.8 |
| Released | 2026-04-23 | 2023-09-24 |
| Weights | Proprietary | Open |
| Context window | 1.05M | — |
| Max output | 128K | — |
| Input $ / M tokens | $30 | — |
| Output $ / M tokens | $180 | — |
| Results tracked | 14 | 18 |
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Category by category
Coding Not comparable
GPT-5.5 Pro: —, Qwen-14B: 30.6 (#283)
| Benchmark | GPT-5.5 Pro | Qwen-14B |
|---|---|---|
| LMArena Coding | — | 1072 |
Reasoning GPT-5.5 Pro leads
GPT-5.5 Pro: 73.6 (#7), Qwen-14B: 18.7 (#255)
| Benchmark | GPT-5.5 Pro | Qwen-14B |
|---|---|---|
| Epoch Capabilities Index | 162.45 | 112.8 |
| ARC-AGI-2 | 84.6% | — |
| SimpleBench | 76.9% | — |
| ARC-AGI-1 | 96.5% | — |
| CritPt | 30.6% | — |
| Chess Puzzles | 64% | — |
| LMArena Hard Prompts | — | 1027 |
| DTBench | 96% | — |
| LMCA | 53.9% | — |
| BIG-Bench Hard | — | 55% |
| LAMBADA | — | 71.1% |
| PIQA | — | 79.9% |
Math GPT-5.5 Pro leads
GPT-5.5 Pro: 83.8 (#8), Qwen-14B: 28.7 (#224)
| Benchmark | GPT-5.5 Pro | Qwen-14B |
|---|---|---|
| FrontierMath (Tiers 1-3) | 87.7% | — |
| FrontierMath Tier 4 | 78% | — |
| OTIS Mock AIME 2024-2025 | 100% | — |
| LMArena Math | — | 1068 |
| FrontierMath (Feb 2025 set) | 52.4% | — |
| FrontierMath Tier 4 (v1) | 39.6% | — |
| GSM8K | — | 61.3% |
Knowledge Not comparable
GPT-5.5 Pro: 64.2 (#17), Qwen-14B: —
| Benchmark | GPT-5.5 Pro | Qwen-14B |
|---|---|---|
| GPQA Diamond | 93.9% | — |
| ARC (AI2) Challenge | — | 84.4% |
| BoolQ | — | 86.2% |
| MMLU | — | 66.3% |
Multilingual Not comparable
GPT-5.5 Pro: —, Qwen-14B: 27.7 (#270)
| Benchmark | GPT-5.5 Pro | Qwen-14B |
|---|---|---|
| LMArena Non-English | — | 1042 |
| LMArena Chinese | — | 1077 |
Instruction Following Not comparable
GPT-5.5 Pro: —, Qwen-14B: 52.6 (#284)
| Benchmark | GPT-5.5 Pro | Qwen-14B |
|---|---|---|
| LMArena Instruction Following | — | 1031 |
Long Context Not comparable
GPT-5.5 Pro: —, Qwen-14B: 31.3 (#276)
| Benchmark | GPT-5.5 Pro | Qwen-14B |
|---|---|---|
| LMArena Longer Query | — | 1029 |
Writing & Preference Not comparable
GPT-5.5 Pro: —, Qwen-14B: 27.8 (#294)
| Benchmark | GPT-5.5 Pro | Qwen-14B |
|---|---|---|
| LMArena Text | — | 1051 |
| LMArena Creative Writing | — | 1028 |
| LMArena Multi-Turn | — | 1022 |
Frequently asked questions
Is GPT-5.5 Pro better than Qwen-14B?
GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 30.8 on the Noometry Index.
How many benchmarks do GPT-5.5 Pro and Qwen-14B share?
1 benchmark has published results for both models. GPT-5.5 Pro has 14 scored results on Noometry and Qwen-14B has 18.