Model comparison
GPT-5.3 Chat vs Qwen2.5-Max
GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 40.7 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 7 categories and Qwen2.5-Max in 1 category; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-5.3 Chat leads 63.1 to 55.4.
Side by side
| GPT-5.3 Chat | Qwen2.5-Max | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 42.8 | 40.7 |
| Released | 2026-03-03 | 2025-01-25 |
| Weights | Proprietary | Proprietary |
| Context window | 128K | — |
| Max output | 16K | — |
| Input $ / M tokens | $1.75 | — |
| Output $ / M tokens | $14 | — |
| Results tracked | 18 | 27 |
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Category by category
Coding Too close to call
GPT-5.3 Chat: 41.4 (#124), Qwen2.5-Max: 41.8 (#117)
| Benchmark | GPT-5.3 Chat | Qwen2.5-Max |
|---|---|---|
| LMArena Coding | 1408 | 1359 |
| LiveBench Coding | — | 64.4% |
Reasoning GPT-5.3 Chat leads
GPT-5.3 Chat: 28.5 (#102), Qwen2.5-Max: 25.6 (#147)
| Benchmark | GPT-5.3 Chat | Qwen2.5-Max |
|---|---|---|
| LMArena Hard Prompts | 1399 | 1360 |
| LiveBench Reasoning | — | 51.4% |
| LiveBench Data Analysis | — | 67.9% |
| Epoch Capabilities Index | — | 132.53 |
| LiveBench | — | 62.3% |
Math GPT-5.3 Chat leads
GPT-5.3 Chat: 38.2 (#142), Qwen2.5-Max: 36.9 (#162)
| Benchmark | GPT-5.3 Chat | Qwen2.5-Max |
|---|---|---|
| LMArena Math | 1389 | 1369 |
| LiveBench Math | — | 58.4% |
Knowledge GPT-5.3 Chat leads
GPT-5.3 Chat: 38.8 (#140), Qwen2.5-Max: 35.3 (#186)
| Benchmark | GPT-5.3 Chat | Qwen2.5-Max |
|---|---|---|
| LMArena Expert | 1397 | 1337 |
| Confabulations | — | 21.8% |
Multilingual GPT-5.3 Chat leads
GPT-5.3 Chat: 50.3 (#124), Qwen2.5-Max: 48.1 (#146)
| Benchmark | GPT-5.3 Chat | Qwen2.5-Max |
|---|---|---|
| LMArena Non-English | 1382 | 1352 |
| LMArena Chinese | 1432 | 1382 |
| LMArena French | 1397 | 1396 |
| LMArena German | 1384 | 1350 |
| LMArena Japanese | 1352 | 1300 |
| LMArena Korean | 1346 | 1304 |
| LMArena Russian | 1400 | 1353 |
| LMArena Spanish | 1371 | 1377 |
Instruction Following GPT-5.3 Chat leads
GPT-5.3 Chat: 72.8 (#129), Qwen2.5-Max: 71.3 (#152)
| Benchmark | GPT-5.3 Chat | Qwen2.5-Max |
|---|---|---|
| LMArena Instruction Following | 1378 | 1335 |
| LiveBench Instruction Following | — | 75.3% |
Long Context GPT-5.3 Chat leads
GPT-5.3 Chat: 42.6 (#120), Qwen2.5-Max: 41.4 (#142)
| Benchmark | GPT-5.3 Chat | Qwen2.5-Max |
|---|---|---|
| LMArena Longer Query | 1396 | 1358 |
Writing & Preference GPT-5.3 Chat leads
GPT-5.3 Chat: 63.1 (#68), Qwen2.5-Max: 55.4 (#146)
| Benchmark | GPT-5.3 Chat | Qwen2.5-Max |
|---|---|---|
| LMArena Text | 1389 | 1367 |
| LMArena Creative Writing | 1355 | 1339 |
| LMArena Multi-Turn | 1412 | 1364 |
| Short-Story Creative Writing | — | 72.9% |
| EQ-Bench Creative Writing | 1690 | — |
| LiveBench Language | — | 56.3% |
Frequently asked questions
Is GPT-5.3 Chat better than Qwen2.5-Max?
GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 40.7 on the Noometry Index.
Is GPT-5.3 Chat or Qwen2.5-Max better for coding?
They score almost the same on coding (41.4 vs 41.8); test both on your own repository before choosing.
How many benchmarks do GPT-5.3 Chat and Qwen2.5-Max share?
17 benchmarks have published results for both models. GPT-5.3 Chat has 18 scored results on Noometry and Qwen2.5-Max has 27.