Model comparison
GPT-5.3 Chat vs Qwen2-72B
GPT-5.3 Chat is the stronger model overall, scoring 42.1 to 29.5 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 Qwen2-72B 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 41.0.
- Qwen2-72B has downloadable open weights; the other is API-only.
Side by side
| GPT-5.3 Chat | Qwen2-72B | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 42.1 | 29.5 |
| Released | 2026-03-03 | 2024-06-07 |
| Weights | Proprietary | Open |
| Context window | 128K | — |
| Max output | 16K | — |
| Input $ / M tokens | $1.75 | — |
| Output $ / M tokens | $14 | — |
| Results tracked | 18 | 26 |
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Category by category
Coding GPT-5.3 Chat leads
GPT-5.3 Chat: 40.8 (#124), Qwen2-72B: 28.7 (#303)
| Benchmark | GPT-5.3 Chat | Qwen2-72B |
|---|---|---|
| LMArena Coding | 1408 | 1196 |
| WeirdML | — | 11.3% |
| BigCodeBench Instruct | — | 38.5% |
| BigCodeBench Complete | — | 54% |
Agentic & Tool Use Not comparable
GPT-5.3 Chat: —, Qwen2-72B: 16.9 (#138)
| Benchmark | GPT-5.3 Chat | Qwen2-72B |
|---|---|---|
| TheAgentCompany | — | 1.1% |
| METR Time Horizons | — | 29.9% |
Reasoning GPT-5.3 Chat leads
GPT-5.3 Chat: 27.3 (#105), Qwen2-72B: 22.2 (#184)
| Benchmark | GPT-5.3 Chat | Qwen2-72B |
|---|---|---|
| LMArena Hard Prompts | 1399 | 1191 |
| Epoch Capabilities Index | — | 125.27 |
Math GPT-5.3 Chat leads
GPT-5.3 Chat: 35.4 (#146), Qwen2-72B: 27.9 (#232)
| Benchmark | GPT-5.3 Chat | Qwen2-72B |
|---|---|---|
| LMArena Math | 1389 | 1235 |
| MATH Level 5 | — | 39.1% |
Knowledge GPT-5.3 Chat leads
GPT-5.3 Chat: 38.2 (#137), Qwen2-72B: 21.2 (#270)
| Benchmark | GPT-5.3 Chat | Qwen2-72B |
|---|---|---|
| LMArena Expert | 1397 | 1171 |
| GPQA Diamond | — | 40.8% |
| MMLU | — | 82.4% |
Multilingual GPT-5.3 Chat leads
GPT-5.3 Chat: 50.5 (#119), Qwen2-72B: 36.0 (#239)
| Benchmark | GPT-5.3 Chat | Qwen2-72B |
|---|---|---|
| LMArena Non-English | 1383 | 1176 |
| LMArena Chinese | 1433 | 1240 |
| LMArena French | 1398 | 1169 |
| LMArena German | 1384 | 1151 |
| LMArena Japanese | 1351 | 1111 |
| LMArena Korean | 1347 | 1083 |
| LMArena Russian | 1400 | 1169 |
| LMArena Spanish | 1371 | 1168 |
Instruction Following GPT-5.3 Chat leads
GPT-5.3 Chat: 73.0 (#124), Qwen2-72B: 62.0 (#236)
| Benchmark | GPT-5.3 Chat | Qwen2-72B |
|---|---|---|
| LMArena Instruction Following | 1378 | 1181 |
Long Context GPT-5.3 Chat leads
GPT-5.3 Chat: 42.6 (#115), Qwen2-72B: 36.1 (#230)
| Benchmark | GPT-5.3 Chat | Qwen2-72B |
|---|---|---|
| LMArena Longer Query | 1396 | 1193 |
Writing & Preference GPT-5.3 Chat leads
GPT-5.3 Chat: 63.3 (#65), Qwen2-72B: 41.0 (#236)
| Benchmark | GPT-5.3 Chat | Qwen2-72B |
|---|---|---|
| LMArena Text | 1389 | 1203 |
| LMArena Creative Writing | 1356 | 1181 |
| LMArena Multi-Turn | 1413 | 1195 |
| EQ-Bench Creative Writing | 1690 | — |
Frequently asked questions
Is GPT-5.3 Chat better than Qwen2-72B?
GPT-5.3 Chat is the stronger model overall, scoring 42.1 to 29.5 on the Noometry Index.
Is GPT-5.3 Chat or Qwen2-72B better for coding?
GPT-5.3 Chat scores higher on coding benchmarks: 40.8 versus 28.7 in the Noometry coding category.
How many benchmarks do GPT-5.3 Chat and Qwen2-72B share?
17 benchmarks have published results for both models. GPT-5.3 Chat has 18 scored results on Noometry and Qwen2-72B has 26.