Model comparison
GPT-5 Nano vs QwQ-32B
QwQ-32B is the stronger model overall, scoring 39.8 to 33.5 on the Noometry Index.
Last verified . 23 shared benchmarks.
Summary
- They share 23 benchmarks with published results for both. GPT-5 Nano scores higher in 2 categories and QwQ-32B in 6 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in long context, where QwQ-32B leads 49.0 to 31.3.
- The biggest single-benchmark swing is Fiction.LiveBench: 44.4% for GPT-5 Nano and 83.3% for QwQ-32B.
- QwQ-32B has downloadable open weights; the other is API-only.
Side by side
| GPT-5 Nano | QwQ-32B | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 33.5 | 39.8 |
| Released | 2025-08-07 | 2024-11-28 |
| Weights | Proprietary | Open |
| Context window | 400K | — |
| Max output | 128K | — |
| Input $ / M tokens | $0.05 | — |
| Output $ / M tokens | $0.40 | — |
| Results tracked | 49 | 36 |
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Category by category
Coding QwQ-32B leads
GPT-5 Nano: 33.6 (#254), QwQ-32B: 35.4 (#226)
| Benchmark | GPT-5 Nano | QwQ-32B |
|---|---|---|
| LMArena Coding | 1351 | 1333 |
| SWE-bench Verified (bash only) | 34.8% | — |
| Aider Polyglot | — | 20.9% |
| WeirdML | 38.1% | — |
| BigCodeBench Instruct | — | 44.6% |
| LiveBench Coding | — | 72.2% |
| BigCodeBench Complete | — | 54.4% |
| ALE-Bench | 718.67 | — |
Agentic & Tool Use Not comparable
GPT-5 Nano: 25.8 (#106), QwQ-32B: —
| Benchmark | GPT-5 Nano | QwQ-32B |
|---|---|---|
| Terminal-Bench | 21.8% | — |
| Berkeley Function Calling Leaderboard | 51.5% | — |
Reasoning QwQ-32B leads
GPT-5 Nano: 16.3 (#306), QwQ-32B: 23.7 (#174)
| Benchmark | GPT-5 Nano | QwQ-32B |
|---|---|---|
| Chess Puzzles | 27% | 5% |
| LMArena Hard Prompts | 1328 | 1325 |
| Epoch Capabilities Index | 139.38 | 137.6 |
| ForecastBench | 59.1 | 58.3 |
| ARC-AGI-2 | 2.6% | — |
| Kagi LLM Benchmark | 62.2% | — |
| ARC-AGI-1 | 20.7% | — |
| LiveBench Reasoning | — | 83.5% |
| Mystery Game Puzzles | 9% | — |
| DTBench | 62.7% | — |
| LiveBench Data Analysis | — | 65% |
| LMCA | 7.9% | — |
| LiveBench | — | 72% |
Math QwQ-32B leads
GPT-5 Nano: 29.4 (#241), QwQ-32B: 38.0 (#143)
| Benchmark | GPT-5 Nano | QwQ-32B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 81.1% | 59.2% |
| LMArena Math | 1317 | 1359 |
| FrontierMath (Tiers 1-3) | 20% | — |
| FrontierMath Tier 4 | 2.4% | — |
| ProofBench | 12% | — |
| Omni-MATH | 54.6% | — |
| LiveBench Math | — | 77.8% |
| MATH Level 5 | 95.2% | — |
| FrontierMath (Feb 2025 set) | 8.3% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |
Knowledge QwQ-32B leads
GPT-5 Nano: 35.9 (#178), QwQ-32B: 37.2 (#158)
| Benchmark | GPT-5 Nano | QwQ-32B |
|---|---|---|
| GPQA Diamond | 69.4% | 65.3% |
| LMArena Expert | 1321 | 1324 |
| SimpleQA Verified | 11.7% | — |
| MMLU-Pro | 77.8% | — |
| Confabulations | — | 15.6% |
| Vectara Hallucination Rate | 10.5% | — |
| GPQA (HELM) | 67.9% | — |
Multimodal Not comparable
GPT-5 Nano: 31.3 (#108), QwQ-32B: —
| Benchmark | GPT-5 Nano | QwQ-32B |
|---|---|---|
| LMArena Vision | 1159 | — |
| VPCT | 37.2% | — |
Multilingual Too close to call
GPT-5 Nano: 45.3 (#172), QwQ-32B: 44.8 (#176)
| Benchmark | GPT-5 Nano | QwQ-32B |
|---|---|---|
| LMArena Non-English | 1313 | 1305 |
| LMArena Chinese | 1356 | 1378 |
| LMArena German | 1327 | 1313 |
| LMArena Japanese | 1226 | 1262 |
| LMArena Korean | 1269 | 1279 |
| LMArena Russian | 1296 | 1297 |
| LMArena Spanish | 1360 | 1354 |
| LMArena French | — | 1336 |
Instruction Following GPT-5 Nano leads
GPT-5 Nano: 75.0 (#79), QwQ-32B: 72.6 (#137)
| Benchmark | GPT-5 Nano | QwQ-32B |
|---|---|---|
| LMArena Instruction Following | 1306 | 1297 |
| LiveBench Instruction Following | — | 81.8% |
| IFEval | 93.2% | — |
Long Context QwQ-32B leads
GPT-5 Nano: 31.3 (#281), QwQ-32B: 49.0 (#11)
| Benchmark | GPT-5 Nano | QwQ-32B |
|---|---|---|
| Fiction.LiveBench | 44.4% | 83.3% |
| LMArena Longer Query | 1312 | 1308 |
Writing & Preference QwQ-32B leads
GPT-5 Nano: 39.1 (#249), QwQ-32B: 50.6 (#180)
| Benchmark | GPT-5 Nano | QwQ-32B |
|---|---|---|
| LMArena Text | 1320 | 1329 |
| LMArena Creative Writing | 1249 | 1288 |
| EQ-Bench Creative Writing | 705 | 1257 |
| LMArena Multi-Turn | 1311 | 1314 |
| Short-Story Creative Writing | — | 80.2% |
| WildBench | 80.6% | — |
| LiveBench Language | — | 51.4% |
Frequently asked questions
Is GPT-5 Nano better than QwQ-32B?
QwQ-32B is the stronger model overall, scoring 39.8 to 33.5 on the Noometry Index.
Is GPT-5 Nano or QwQ-32B better for coding?
QwQ-32B scores higher on coding benchmarks: 35.4 versus 33.6 in the Noometry coding category.
How many benchmarks do GPT-5 Nano and QwQ-32B share?
23 benchmarks have published results for both models. GPT-5 Nano has 49 scored results on Noometry and QwQ-32B has 36.