Model comparison
GPT-5.3 Chat vs QwQ-32B
GPT-5.3 Chat is the stronger model overall, scoring 42.1 to 39.4 on the Noometry Index.
Last verified . 18 shared benchmarks.
Alibaba (Qwen)Summary
- They share 18 benchmarks with published results for both. GPT-5.3 Chat scores higher in 6 categories and QwQ-32B in 2 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-5.3 Chat leads 63.3 to 50.9.
- QwQ-32B has downloadable open weights; the other is API-only.
Side by side
| GPT-5.3 Chat | QwQ-32B | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 42.1 | 39.4 |
| Released | 2026-03-03 | 2024-11-28 |
| Weights | Proprietary | Open |
| Context window | 128K | — |
| Max output | 16K | — |
| Input $ / M tokens | $1.75 | — |
| Output $ / M tokens | $14 | — |
| Results tracked | 18 | 36 |
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Category by category
Coding GPT-5.3 Chat leads
GPT-5.3 Chat: 40.8 (#124), QwQ-32B: 34.9 (#220)
| Benchmark | GPT-5.3 Chat | QwQ-32B |
|---|---|---|
| LMArena Coding | 1408 | 1333 |
| Aider Polyglot | — | 20.9% |
| BigCodeBench Instruct | — | 44.6% |
| LiveBench Coding | — | 72.2% |
| BigCodeBench Complete | — | 54.4% |
Reasoning GPT-5.3 Chat leads
GPT-5.3 Chat: 27.3 (#105), QwQ-32B: 22.9 (#171)
| Benchmark | GPT-5.3 Chat | QwQ-32B |
|---|---|---|
| LMArena Hard Prompts | 1399 | 1326 |
| Chess Puzzles | — | 5% |
| LiveBench Reasoning | — | 83.5% |
| LiveBench Data Analysis | — | 65% |
| Epoch Capabilities Index | — | 137.6 |
| ForecastBench | — | 58.3 |
| LiveBench | — | 72% |
Math Too close to call
GPT-5.3 Chat: 35.4 (#146), QwQ-32B: 36.2 (#123)
| Benchmark | GPT-5.3 Chat | QwQ-32B |
|---|---|---|
| LMArena Math | 1389 | 1359 |
| OTIS Mock AIME 2024-2025 | — | 59.2% |
| LiveBench Math | — | 77.8% |
Knowledge GPT-5.3 Chat leads
GPT-5.3 Chat: 38.2 (#137), QwQ-32B: 37.2 (#150)
| Benchmark | GPT-5.3 Chat | QwQ-32B |
|---|---|---|
| LMArena Expert | 1397 | 1323 |
| GPQA Diamond | — | 65.3% |
| Confabulations | — | 15.6% |
Multilingual GPT-5.3 Chat leads
GPT-5.3 Chat: 50.5 (#119), QwQ-32B: 45.0 (#171)
| Benchmark | GPT-5.3 Chat | QwQ-32B |
|---|---|---|
| LMArena Non-English | 1383 | 1306 |
| LMArena Chinese | 1433 | 1378 |
| LMArena French | 1398 | 1337 |
| LMArena German | 1384 | 1313 |
| LMArena Japanese | 1351 | 1263 |
| LMArena Korean | 1347 | 1278 |
| LMArena Russian | 1400 | 1297 |
| LMArena Spanish | 1371 | 1353 |
Instruction Following Too close to call
GPT-5.3 Chat: 73.0 (#124), QwQ-32B: 72.8 (#131)
| Benchmark | GPT-5.3 Chat | QwQ-32B |
|---|---|---|
| LMArena Instruction Following | 1378 | 1297 |
| LiveBench Instruction Following | — | 81.8% |
Long Context QwQ-32B leads
GPT-5.3 Chat: 42.6 (#115), QwQ-32B: 49.0 (#11)
| Benchmark | GPT-5.3 Chat | QwQ-32B |
|---|---|---|
| LMArena Longer Query | 1396 | 1308 |
| Fiction.LiveBench | — | 83.3% |
Writing & Preference GPT-5.3 Chat leads
GPT-5.3 Chat: 63.3 (#65), QwQ-32B: 50.9 (#175)
| Benchmark | GPT-5.3 Chat | QwQ-32B |
|---|---|---|
| LMArena Text | 1389 | 1329 |
| LMArena Creative Writing | 1356 | 1288 |
| EQ-Bench Creative Writing | 1690 | 1257 |
| LMArena Multi-Turn | 1413 | 1314 |
| Short-Story Creative Writing | — | 80.2% |
| LiveBench Language | — | 51.4% |
Frequently asked questions
Is GPT-5.3 Chat better than QwQ-32B?
GPT-5.3 Chat is the stronger model overall, scoring 42.1 to 39.4 on the Noometry Index.
Is GPT-5.3 Chat or QwQ-32B better for coding?
GPT-5.3 Chat scores higher on coding benchmarks: 40.8 versus 34.9 in the Noometry coding category.
How many benchmarks do GPT-5.3 Chat and QwQ-32B share?
18 benchmarks have published results for both models. GPT-5.3 Chat has 18 scored results on Noometry and QwQ-32B has 36.