Model comparison
GPT-5-Codex vs QwQ-32B
QwQ-32B is the stronger model overall, scoring 39.8 to 37.9 on the Noometry Index.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)Summary
- The widest gap is in reasoning, where GPT-5-Codex leads 30.9 to 23.7.
- QwQ-32B has downloadable open weights; the other is API-only.
Side by side
| GPT-5-Codex | QwQ-32B | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 37.9 | 39.8 |
| Released | 2025-09-15 | 2024-11-28 |
| Weights | Proprietary | Open |
| Context window | 400K | — |
| Max output | 128K | — |
| Input $ / M tokens | $1.25 | — |
| Output $ / M tokens | $10 | — |
| Results tracked | 3 | 36 |
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Category by category
Coding GPT-5-Codex leads
GPT-5-Codex: 42.4 (#103), QwQ-32B: 35.4 (#226)
| Benchmark | GPT-5-Codex | QwQ-32B |
|---|---|---|
| Aider Polyglot | — | 20.9% |
| WeirdML | 54.5% | — |
| BigCodeBench Instruct | — | 44.6% |
| LiveBench Coding | — | 72.2% |
| LMArena Coding | — | 1333 |
| BigCodeBench Complete | — | 54.4% |
Agentic & Tool Use Not comparable
GPT-5-Codex: 31.0 (#72), QwQ-32B: —
| Benchmark | GPT-5-Codex | QwQ-32B |
|---|---|---|
| Terminal-Bench | 44.3% | — |
Reasoning GPT-5-Codex leads
GPT-5-Codex: 30.9 (#83), QwQ-32B: 23.7 (#174)
| Benchmark | GPT-5-Codex | QwQ-32B |
|---|---|---|
| Kagi LLM Benchmark | 70.3% | — |
| Chess Puzzles | — | 5% |
| LiveBench Reasoning | — | 83.5% |
| LMArena Hard Prompts | — | 1325 |
| LiveBench Data Analysis | — | 65% |
| Epoch Capabilities Index | — | 137.6 |
| ForecastBench | — | 58.3 |
| LiveBench | — | 72% |
Math Not comparable
GPT-5-Codex: —, QwQ-32B: 38.0 (#143)
| Benchmark | GPT-5-Codex | QwQ-32B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 59.2% |
| LiveBench Math | — | 77.8% |
| LMArena Math | — | 1359 |
Knowledge Not comparable
GPT-5-Codex: —, QwQ-32B: 37.2 (#158)
| Benchmark | GPT-5-Codex | QwQ-32B |
|---|---|---|
| GPQA Diamond | — | 65.3% |
| Confabulations | — | 15.6% |
| LMArena Expert | — | 1324 |
Multilingual Not comparable
GPT-5-Codex: —, QwQ-32B: 44.8 (#176)
| Benchmark | GPT-5-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-Codex: —, QwQ-32B: 72.6 (#137)
| Benchmark | GPT-5-Codex | QwQ-32B |
|---|---|---|
| LiveBench Instruction Following | — | 81.8% |
| LMArena Instruction Following | — | 1297 |
Long Context Not comparable
GPT-5-Codex: —, QwQ-32B: 49.0 (#11)
| Benchmark | GPT-5-Codex | QwQ-32B |
|---|---|---|
| Fiction.LiveBench | — | 83.3% |
| LMArena Longer Query | — | 1308 |
Writing & Preference Not comparable
GPT-5-Codex: —, QwQ-32B: 50.6 (#180)
| Benchmark | GPT-5-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-Codex better than QwQ-32B?
QwQ-32B is the stronger model overall, scoring 39.8 to 37.9 on the Noometry Index.
Is GPT-5-Codex or QwQ-32B better for coding?
GPT-5-Codex scores higher on coding benchmarks: 42.4 versus 35.4 in the Noometry coding category.
How many benchmarks do GPT-5-Codex and QwQ-32B share?
0 benchmarks have published results for both models. GPT-5-Codex has 3 scored results on Noometry and QwQ-32B has 36.