Model comparison
gpt-oss-120b vs QwQ-32B
QwQ-32B is the stronger model overall, scoring 39.8 to 36.3 on the Noometry Index.
Last verified . 26 shared benchmarks.
Summary
- They share 26 benchmarks with published results for both. gpt-oss-120b scores higher in 3 categories and QwQ-32B in 5 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in long context, where QwQ-32B leads 49.0 to 31.4.
- The biggest single-benchmark swing is Fiction.LiveBench: 44.4% for gpt-oss-120b and 83.3% for QwQ-32B.
Side by side
| gpt-oss-120b | QwQ-32B | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 36.3 | 39.8 |
| Released | 2025-08-05 | 2024-11-28 |
| Weights | Open | Open |
| Context window | 131K | — |
| Max output | 41K | — |
| Input $ / M tokens | $0.037 | — |
| Output $ / M tokens | $0.17 | — |
| Results tracked | 48 | 36 |
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Category by category
Coding QwQ-32B leads
gpt-oss-120b: 33.5 (#256), QwQ-32B: 35.4 (#226)
| Benchmark | gpt-oss-120b | QwQ-32B |
|---|---|---|
| Aider Polyglot | 41.8% | 20.9% |
| LMArena Coding | 1380 | 1333 |
| SWE-bench Verified (bash only) | 26% | — |
| SciCode | 36% | — |
| WeirdML | 48.2% | — |
| BigCodeBench Instruct | — | 44.6% |
| LiveBench Coding | — | 72.2% |
| BigCodeBench Complete | — | 54.4% |
| ALE-Bench | 575.62 | — |
| AlgoTune | 1.41 | — |
Agentic & Tool Use Not comparable
gpt-oss-120b: 12.2 (#153), QwQ-32B: —
| Benchmark | gpt-oss-120b | QwQ-32B |
|---|---|---|
| Terminal-Bench | 18.7% | — |
| APEX-Agents | 4.4% | — |
| METR Time Horizons | 56.6% | — |
| Vending-Bench 2 | -21.53 | — |
Reasoning QwQ-32B leads
gpt-oss-120b: 20.0 (#245), QwQ-32B: 23.7 (#174)
| Benchmark | gpt-oss-120b | QwQ-32B |
|---|---|---|
| Chess Puzzles | 20% | 5% |
| LMArena Hard Prompts | 1364 | 1325 |
| Epoch Capabilities Index | 139.93 | 137.6 |
| SimpleBench | 22.1% | — |
| Kagi LLM Benchmark | 58.6% | — |
| CritPt | 1.1% | — |
| LiveBench Reasoning | — | 83.5% |
| Mystery Game Puzzles | 2% | — |
| DTBench | 76.3% | — |
| LiveBench Data Analysis | — | 65% |
| LMCA | 22.1% | — |
| Surface Evolver Bench | 25% | — |
| ForecastBench | — | 58.3 |
| LiveBench | — | 72% |
Math gpt-oss-120b leads
gpt-oss-120b: 52.5 (#50), QwQ-32B: 38.0 (#143)
| Benchmark | gpt-oss-120b | QwQ-32B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 88.9% | 59.2% |
| LMArena Math | 1389 | 1359 |
| Omni-MATH | 68.8% | — |
| LiveBench Math | — | 77.8% |
Knowledge gpt-oss-120b leads
gpt-oss-120b: 42.4 (#96), QwQ-32B: 37.2 (#158)
| Benchmark | gpt-oss-120b | QwQ-32B |
|---|---|---|
| GPQA Diamond | 75.8% | 65.3% |
| Confabulations | 15.7% | 15.6% |
| LMArena Expert | 1356 | 1324 |
| MMLU-Pro | 79.5% | — |
| Vectara Hallucination Rate | 14.2% | — |
| GPQA (HELM) | 68.4% | — |
Multilingual gpt-oss-120b leads
gpt-oss-120b: 48.0 (#147), QwQ-32B: 44.8 (#176)
| Benchmark | gpt-oss-120b | QwQ-32B |
|---|---|---|
| LMArena Non-English | 1351 | 1305 |
| LMArena Chinese | 1385 | 1378 |
| LMArena French | 1369 | 1336 |
| LMArena German | 1353 | 1313 |
| LMArena Japanese | 1331 | 1262 |
| LMArena Korean | 1282 | 1279 |
| LMArena Russian | 1343 | 1297 |
| LMArena Spanish | 1389 | 1354 |
Instruction Following QwQ-32B leads
gpt-oss-120b: 69.3 (#173), QwQ-32B: 72.6 (#137)
| Benchmark | gpt-oss-120b | QwQ-32B |
|---|---|---|
| LMArena Instruction Following | 1318 | 1297 |
| LiveBench Instruction Following | — | 81.8% |
| IFEval | 83.6% | — |
Long Context QwQ-32B leads
gpt-oss-120b: 31.4 (#278), QwQ-32B: 49.0 (#11)
| Benchmark | gpt-oss-120b | QwQ-32B |
|---|---|---|
| Fiction.LiveBench | 44.4% | 83.3% |
| LMArena Longer Query | 1319 | 1308 |
Writing & Preference QwQ-32B leads
gpt-oss-120b: 46.5 (#217), QwQ-32B: 50.6 (#180)
| Benchmark | gpt-oss-120b | QwQ-32B |
|---|---|---|
| LMArena Text | 1365 | 1329 |
| LMArena Creative Writing | 1275 | 1288 |
| Short-Story Creative Writing | 77.1% | 80.2% |
| EQ-Bench Creative Writing | 961 | 1257 |
| LMArena Multi-Turn | 1340 | 1314 |
| WildBench | 84.5% | — |
| LiveBench Language | — | 51.4% |
Frequently asked questions
Is gpt-oss-120b better than QwQ-32B?
QwQ-32B is the stronger model overall, scoring 39.8 to 36.3 on the Noometry Index.
Is gpt-oss-120b or QwQ-32B better for coding?
QwQ-32B scores higher on coding benchmarks: 35.4 versus 33.5 in the Noometry coding category.
How many benchmarks do gpt-oss-120b and QwQ-32B share?
26 benchmarks have published results for both models. gpt-oss-120b has 48 scored results on Noometry and QwQ-32B has 36.