Model comparison
GPT-4.5 vs Qwen1.5-14B
GPT-4.5 is the stronger model overall, scoring 37.2 to 32.7 on the Noometry Index.
Last verified . 15 shared benchmarks.
Alibaba (Qwen)Summary
- They share 15 benchmarks with published results for both. GPT-4.5 scores higher in 7 categories and Qwen1.5-14B in 1 category; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-4.5 leads 56.9 to 33.6.
- Qwen1.5-14B has downloadable open weights; the other is API-only.
Side by side
| GPT-4.5 | Qwen1.5-14B | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 37.2 | 32.7 |
| Released | 2025-02-27 | 2024-02-04 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 42 | 17 |
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Category by category
Coding GPT-4.5 leads
GPT-4.5: 42.2 (#109), Qwen1.5-14B: 33.1 (#263)
| Benchmark | GPT-4.5 | Qwen1.5-14B |
|---|---|---|
| LMArena Coding | 1396 | 1138 |
| Aider Polyglot | 44.9% | — |
| WeirdML | 39.4% | — |
| LiveBench Coding | 75.2% | — |
Agentic & Tool Use Not comparable
GPT-4.5: 27.9 (#97), Qwen1.5-14B: —
| Benchmark | GPT-4.5 | Qwen1.5-14B |
|---|---|---|
| Cybench | 17.5% | — |
Reasoning Qwen1.5-14B leads
GPT-4.5: 13.9 (#330), Qwen1.5-14B: 21.4 (#223)
| Benchmark | GPT-4.5 | Qwen1.5-14B |
|---|---|---|
| LMArena Hard Prompts | 1403 | 1113 |
| ARC-AGI-2 | 0.8% | — |
| SimpleBench | 34.5% | — |
| ARC-AGI-1 | 10.3% | — |
| EnigmaEval | 3.2% | — |
| LiveBench Reasoning | 71.1% | — |
| LiveBench Data Analysis | 64.3% | — |
| Epoch Capabilities Index | 136.74 | — |
| ForecastBench | 61.7 | — |
| LiveBench | 69% | — |
Math Too close to call
GPT-4.5: 32.6 (#211), Qwen1.5-14B: 32.4 (#215)
| Benchmark | GPT-4.5 | Qwen1.5-14B |
|---|---|---|
| LMArena Math | 1412 | 1125 |
| OTIS Mock AIME 2024-2025 | 37.8% | — |
| LiveBench Math | 69.3% | — |
| MATH Level 5 | 78.6% | — |
Knowledge GPT-4.5 leads
GPT-4.5: 32.5 (#211), Qwen1.5-14B: 29.8 (#232)
| Benchmark | GPT-4.5 | Qwen1.5-14B |
|---|---|---|
| LMArena Expert | 1394 | 1094 |
| GPQA Diamond | 68.7% | — |
| Humanity's Last Exam | 5.4% | — |
| Confabulations | 13.6% | — |
| MMLU | — | 68.6% |
Multimodal Not comparable
GPT-4.5: 37.6 (#71), Qwen1.5-14B: —
| Benchmark | GPT-4.5 | Qwen1.5-14B |
|---|---|---|
| LMArena Vision | 1195 | — |
| VPCT | 45% | — |
Multilingual GPT-4.5 leads
GPT-4.5: 52.5 (#83), Qwen1.5-14B: 30.7 (#262)
| Benchmark | GPT-4.5 | Qwen1.5-14B |
|---|---|---|
| LMArena Non-English | 1413 | 1095 |
| LMArena Chinese | 1421 | 1147 |
| LMArena French | 1418 | 1116 |
| LMArena German | 1457 | 1043 |
| LMArena Japanese | 1416 | 1019 |
| LMArena Russian | 1419 | 1046 |
| LMArena Korean | 1392 | — |
| LMArena Spanish | — | 1085 |
Instruction Following GPT-4.5 leads
GPT-4.5: 72.6 (#134), Qwen1.5-14B: 56.8 (#271)
| Benchmark | GPT-4.5 | Qwen1.5-14B |
|---|---|---|
| LMArena Instruction Following | 1404 | 1102 |
| LiveBench Instruction Following | 72.3% | — |
Long Context GPT-4.5 leads
GPT-4.5: 40.4 (#155), Qwen1.5-14B: 33.7 (#257)
| Benchmark | GPT-4.5 | Qwen1.5-14B |
|---|---|---|
| LMArena Longer Query | 1406 | 1113 |
| Fiction.LiveBench | 63.9% | — |
Writing & Preference GPT-4.5 leads
GPT-4.5: 56.9 (#134), Qwen1.5-14B: 33.6 (#276)
| Benchmark | GPT-4.5 | Qwen1.5-14B |
|---|---|---|
| LMArena Text | 1417 | 1128 |
| LMArena Creative Writing | 1394 | 1091 |
| LMArena Multi-Turn | 1444 | 1110 |
| Short-Story Creative Writing | 75.6% | — |
| EQ-Bench Creative Writing | 1258 | — |
| LiveBench Language | 61.5% | — |
Frequently asked questions
Is GPT-4.5 better than Qwen1.5-14B?
GPT-4.5 is the stronger model overall, scoring 37.2 to 32.7 on the Noometry Index.
Is GPT-4.5 or Qwen1.5-14B better for coding?
GPT-4.5 scores higher on coding benchmarks: 42.2 versus 33.1 in the Noometry coding category.
How many benchmarks do GPT-4.5 and Qwen1.5-14B share?
15 benchmarks have published results for both models. GPT-4.5 has 42 scored results on Noometry and Qwen1.5-14B has 17.