Model comparison
GPT-5.3 Codex vs QwQ-32B
GPT-5.3 Codex is the stronger model overall, scoring 45.8 to 39.8 on the Noometry Index.
Last verified . 1 shared benchmarks.
Alibaba (Qwen)Summary
- They share 1 benchmark with published results for both. GPT-5.3 Codex scores higher in 1 category and QwQ-32B in 0 categories; one gap is clear of the uncertainty.
- The widest gap is in coding, where GPT-5.3 Codex leads 48.6 to 35.4.
- QwQ-32B has downloadable open weights; the other is API-only.
Side by side
| GPT-5.3 Codex | QwQ-32B | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 45.8 | 39.8 |
| Released | 2026-02-05 | 2024-11-28 |
| Weights | Proprietary | Open |
| Context window | 400K | — |
| Max output | 128K | — |
| Input $ / M tokens | $1.75 | — |
| Output $ / M tokens | $14 | — |
| Results tracked | 8 | 36 |
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Category by category
Coding GPT-5.3 Codex leads
GPT-5.3 Codex: 48.6 (#56), QwQ-32B: 35.4 (#226)
| Benchmark | GPT-5.3 Codex | QwQ-32B |
|---|---|---|
| SWE-bench Verified | 74.8% | — |
| Aider Polyglot | — | 20.9% |
| LMArena WebDev | 1409 | — |
| WeirdML | 79.3% | — |
| BigCodeBench Instruct | — | 44.6% |
| LiveBench Coding | — | 72.2% |
| LMArena Coding | — | 1333 |
| BigCodeBench Complete | — | 54.4% |
| ALE-Bench | 1,655 | — |
Agentic & Tool Use Not comparable
GPT-5.3 Codex: 48.0 (#9), QwQ-32B: —
| Benchmark | GPT-5.3 Codex | QwQ-32B |
|---|---|---|
| Terminal-Bench | 78.4% | — |
| METR Time Horizons | 74.5% | — |
| Vending-Bench 2 | 5,940 | — |
Reasoning Not comparable
GPT-5.3 Codex: —, QwQ-32B: 23.7 (#174)
| Benchmark | GPT-5.3 Codex | QwQ-32B |
|---|---|---|
| Epoch Capabilities Index | 156.77 | 137.6 |
| Chess Puzzles | — | 5% |
| LiveBench Reasoning | — | 83.5% |
| LMArena Hard Prompts | — | 1325 |
| LiveBench Data Analysis | — | 65% |
| ForecastBench | — | 58.3 |
| LiveBench | — | 72% |
Math Not comparable
GPT-5.3 Codex: —, QwQ-32B: 38.0 (#143)
| Benchmark | GPT-5.3 Codex | QwQ-32B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 59.2% |
| LiveBench Math | — | 77.8% |
| LMArena Math | — | 1359 |
Knowledge Not comparable
GPT-5.3 Codex: —, QwQ-32B: 37.2 (#158)
| Benchmark | GPT-5.3 Codex | QwQ-32B |
|---|---|---|
| GPQA Diamond | — | 65.3% |
| Confabulations | — | 15.6% |
| LMArena Expert | — | 1324 |
Multilingual Not comparable
GPT-5.3 Codex: —, QwQ-32B: 44.8 (#176)
| Benchmark | GPT-5.3 Codex | QwQ-32B |
|---|---|---|
| LMArena Non-English | — | 1305 |
| LMArena Chinese | — | 1378 |
| LMArena French | — | 1336 |
| LMArena German | — | 1313 |
| LMArena Japanese | — | 1262 |
| LMArena Korean | — | 1279 |
| LMArena Russian | — | 1297 |
| LMArena Spanish | — | 1354 |
Instruction Following Not comparable
GPT-5.3 Codex: —, QwQ-32B: 72.6 (#137)
| Benchmark | GPT-5.3 Codex | QwQ-32B |
|---|---|---|
| LiveBench Instruction Following | — | 81.8% |
| LMArena Instruction Following | — | 1297 |
Long Context Not comparable
GPT-5.3 Codex: —, QwQ-32B: 49.0 (#11)
| Benchmark | GPT-5.3 Codex | QwQ-32B |
|---|---|---|
| Fiction.LiveBench | — | 83.3% |
| LMArena Longer Query | — | 1308 |
Writing & Preference Not comparable
GPT-5.3 Codex: —, QwQ-32B: 50.6 (#180)
| Benchmark | GPT-5.3 Codex | QwQ-32B |
|---|---|---|
| LMArena Text | — | 1329 |
| LMArena Creative Writing | — | 1288 |
| Short-Story Creative Writing | — | 80.2% |
| EQ-Bench Creative Writing | — | 1257 |
| LMArena Multi-Turn | — | 1314 |
| LiveBench Language | — | 51.4% |
Frequently asked questions
Is GPT-5.3 Codex better than QwQ-32B?
GPT-5.3 Codex is the stronger model overall, scoring 45.8 to 39.8 on the Noometry Index.
Is GPT-5.3 Codex or QwQ-32B better for coding?
GPT-5.3 Codex scores higher on coding benchmarks: 48.6 versus 35.4 in the Noometry coding category.
How many benchmarks do GPT-5.3 Codex and QwQ-32B share?
1 benchmark has published results for both models. GPT-5.3 Codex has 8 scored results on Noometry and QwQ-32B has 36.