Model comparison
GPT-5.3 Chat vs Qwen1.5-110B
GPT-5.3 Chat is the stronger model overall, scoring 42.1 to 33.6 on the Noometry Index.
Last verified . 17 shared benchmarks.
Alibaba (Qwen)Summary
- They share 17 benchmarks with published results for both. GPT-5.3 Chat scores higher in 8 categories and Qwen1.5-110B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-5.3 Chat leads 63.3 to 38.1.
- Qwen1.5-110B has downloadable open weights; the other is API-only.
Side by side
| GPT-5.3 Chat | Qwen1.5-110B | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 42.1 | 33.6 |
| Released | 2026-03-03 | 2024-04-25 |
| Weights | Proprietary | Open |
| Context window | 128K | — |
| Max output | 16K | — |
| Input $ / M tokens | $1.75 | — |
| Output $ / M tokens | $14 | — |
| Results tracked | 18 | 20 |
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Category by category
Coding GPT-5.3 Chat leads
GPT-5.3 Chat: 40.8 (#124), Qwen1.5-110B: 32.4 (#260)
| Benchmark | GPT-5.3 Chat | Qwen1.5-110B |
|---|---|---|
| LMArena Coding | 1408 | 1184 |
| BigCodeBench Instruct | — | 35% |
| BigCodeBench Complete | — | 44.4% |
Reasoning GPT-5.3 Chat leads
GPT-5.3 Chat: 27.3 (#105), Qwen1.5-110B: 21.7 (#192)
| Benchmark | GPT-5.3 Chat | Qwen1.5-110B |
|---|---|---|
| LMArena Hard Prompts | 1399 | 1168 |
| ForecastBench | — | 57.7 |
Math GPT-5.3 Chat leads
GPT-5.3 Chat: 35.4 (#146), Qwen1.5-110B: 31.1 (#199)
| Benchmark | GPT-5.3 Chat | Qwen1.5-110B |
|---|---|---|
| LMArena Math | 1389 | 1185 |
Knowledge GPT-5.3 Chat leads
GPT-5.3 Chat: 38.2 (#137), Qwen1.5-110B: 30.7 (#217)
| Benchmark | GPT-5.3 Chat | Qwen1.5-110B |
|---|---|---|
| LMArena Expert | 1397 | 1144 |
Multilingual GPT-5.3 Chat leads
GPT-5.3 Chat: 50.5 (#119), Qwen1.5-110B: 33.8 (#245)
| Benchmark | GPT-5.3 Chat | Qwen1.5-110B |
|---|---|---|
| LMArena Non-English | 1383 | 1142 |
| LMArena Chinese | 1433 | 1206 |
| LMArena French | 1398 | 1150 |
| LMArena German | 1384 | 1123 |
| LMArena Japanese | 1351 | 1074 |
| LMArena Korean | 1347 | 1044 |
| LMArena Russian | 1400 | 1118 |
| LMArena Spanish | 1371 | 1141 |
Instruction Following GPT-5.3 Chat leads
GPT-5.3 Chat: 73.0 (#124), Qwen1.5-110B: 60.6 (#247)
| Benchmark | GPT-5.3 Chat | Qwen1.5-110B |
|---|---|---|
| LMArena Instruction Following | 1378 | 1158 |
Long Context GPT-5.3 Chat leads
GPT-5.3 Chat: 42.6 (#115), Qwen1.5-110B: 35.0 (#237)
| Benchmark | GPT-5.3 Chat | Qwen1.5-110B |
|---|---|---|
| LMArena Longer Query | 1396 | 1157 |
Writing & Preference GPT-5.3 Chat leads
GPT-5.3 Chat: 63.3 (#65), Qwen1.5-110B: 38.1 (#250)
| Benchmark | GPT-5.3 Chat | Qwen1.5-110B |
|---|---|---|
| LMArena Text | 1389 | 1175 |
| LMArena Creative Writing | 1356 | 1148 |
| LMArena Multi-Turn | 1413 | 1160 |
| EQ-Bench Creative Writing | 1690 | — |
Frequently asked questions
Is GPT-5.3 Chat better than Qwen1.5-110B?
GPT-5.3 Chat is the stronger model overall, scoring 42.1 to 33.6 on the Noometry Index.
Is GPT-5.3 Chat or Qwen1.5-110B better for coding?
GPT-5.3 Chat scores higher on coding benchmarks: 40.8 versus 32.4 in the Noometry coding category.
How many benchmarks do GPT-5.3 Chat and Qwen1.5-110B share?
17 benchmarks have published results for both models. GPT-5.3 Chat has 18 scored results on Noometry and Qwen1.5-110B has 20.