Model comparison
GPT-6 Astra vs QwQ-32B
GPT-6 Astra is the stronger model overall, scoring 70.8 to 39.8 on the Noometry Index.
Last verified . 22 shared benchmarks.
Alibaba (Qwen)Summary
- They share 22 benchmarks with published results for both. GPT-6 Astra scores higher in 7 categories and QwQ-32B in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-6 Astra leads 85.1 to 23.7.
- The biggest single-benchmark swing is Chess Puzzles: 72% for GPT-6 Astra and 5% for QwQ-32B.
- QwQ-32B has downloadable open weights; the other is API-only.
Side by side
| GPT-6 Astra | QwQ-32B | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 70.8 | 39.8 |
| Released | 2026-09-03 | 2024-11-28 |
| Weights | Proprietary | Open |
| Context window | 1.05M | — |
| Max output | 128K | — |
| Input $ / M tokens | $10 | — |
| Output $ / M tokens | $50 | — |
| Results tracked | 56 | 36 |
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Category by category
Coding GPT-6 Astra leads
GPT-6 Astra: 73.7 (#2), QwQ-32B: 35.4 (#226)
| Benchmark | GPT-6 Astra | QwQ-32B |
|---|---|---|
| LMArena Coding | 1487 | 1333 |
| DeepSWE | 74.1% | — |
| FrontierCode | 53.3% | — |
| Aider Polyglot | — | 20.9% |
| LMArena WebDev | 1786 | — |
| FrontierSWE | 65.5% | — |
| SciCode | 56.5% | — |
| GSO | 79.4% | — |
| WeirdML | 93.6% | — |
| BigCodeBench Instruct | — | 44.6% |
| LiveBench Coding | — | 72.2% |
| MirrorCode | 46.7% | — |
| BigCodeBench Complete | — | 54.4% |
| ALE-Bench | 2,951 | — |
Agentic & Tool Use Not comparable
GPT-6 Astra: 52.9 (#3), QwQ-32B: —
| Benchmark | GPT-6 Astra | QwQ-32B |
|---|---|---|
| APEX-Agents | 64.7% | — |
| Remote Labor Index | 20.8% | — |
| BALROG | 68.3% | — |
| GDP.pdf | 34.2% | — |
| Vending-Bench 2 | 15,515 | — |
Reasoning GPT-6 Astra leads
GPT-6 Astra: 85.1 (#1), QwQ-32B: 23.7 (#174)
| Benchmark | GPT-6 Astra | QwQ-32B |
|---|---|---|
| Chess Puzzles | 72% | 5% |
| LMArena Hard Prompts | 1462 | 1325 |
| Epoch Capabilities Index | 166.45 | 137.6 |
| ARC-AGI-2 | 95% | — |
| NYT Connections (extended) | 98.1% | — |
| ARC-AGI-1 | 98.5% | — |
| CritPt | 31.7% | — |
| EBR-Bench | 76.2% | — |
| LiveBench Reasoning | — | 83.5% |
| Mystery Game Puzzles | 84% | — |
| DTBench | 97.3% | — |
| LiveBench Data Analysis | — | 65% |
| LMCA | 64.4% | — |
| Bench to the Future 3 | 0.14 | — |
| ForecastBench | — | 58.3 |
| LiveBench | — | 72% |
Math GPT-6 Astra leads
GPT-6 Astra: 93.5 (#2), QwQ-32B: 38.0 (#143)
| Benchmark | GPT-6 Astra | QwQ-32B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 100% | 59.2% |
| LMArena Math | 1465 | 1359 |
| FrontierMath (Tiers 1-3) | 93.7% | — |
| FrontierMath Tier 4 | 97.6% | — |
| ProofBench | 99% | — |
| LiveBench Math | — | 77.8% |
| FrontierMath Erdős | 2.9% | — |
Knowledge GPT-6 Astra leads
GPT-6 Astra: 75.3 (#1), QwQ-32B: 37.2 (#158)
| Benchmark | GPT-6 Astra | QwQ-32B |
|---|---|---|
| GPQA Diamond | 95.8% | 65.3% |
| LMArena Expert | 1483 | 1324 |
| Humanity's Last Exam | 54.8% | — |
| SimpleQA Verified | 75.6% | — |
| Confabulations | — | 15.6% |
| Vectara Hallucination Rate | 8.7% | — |
Multimodal Not comparable
GPT-6 Astra: 55.0 (#3), QwQ-32B: —
| Benchmark | GPT-6 Astra | QwQ-32B |
|---|---|---|
| LMArena Vision | 1281 | — |
| Blueprint-Bench 2 | 49.7% | — |
| Furniture Assembly | 80% | — |
| LMArena Document | 1468 | — |
Multilingual GPT-6 Astra leads
GPT-6 Astra: 53.7 (#61), QwQ-32B: 44.8 (#176)
| Benchmark | GPT-6 Astra | QwQ-32B |
|---|---|---|
| LMArena Non-English | 1430 | 1305 |
| LMArena Chinese | 1484 | 1378 |
| LMArena French | 1456 | 1336 |
| LMArena German | 1440 | 1313 |
| LMArena Japanese | 1379 | 1262 |
| LMArena Korean | 1426 | 1279 |
| LMArena Russian | 1436 | 1297 |
| LMArena Spanish | 1407 | 1354 |
Instruction Following GPT-6 Astra leads
GPT-6 Astra: 76.3 (#44), QwQ-32B: 72.6 (#137)
| Benchmark | GPT-6 Astra | QwQ-32B |
|---|---|---|
| LMArena Instruction Following | 1450 | 1297 |
| LiveBench Instruction Following | — | 81.8% |
Long Context QwQ-32B leads
GPT-6 Astra: 44.5 (#62), QwQ-32B: 49.0 (#11)
| Benchmark | GPT-6 Astra | QwQ-32B |
|---|---|---|
| LMArena Longer Query | 1456 | 1308 |
| Fiction.LiveBench | — | 83.3% |
Writing & Preference GPT-6 Astra leads
GPT-6 Astra: 75.3 (#7), QwQ-32B: 50.6 (#180)
| Benchmark | GPT-6 Astra | QwQ-32B |
|---|---|---|
| LMArena Text | 1441 | 1329 |
| LMArena Creative Writing | 1418 | 1288 |
| EQ-Bench Creative Writing | 2173 | 1257 |
| LMArena Multi-Turn | 1448 | 1314 |
| Short-Story Creative Writing | — | 80.2% |
| LiveBench Language | — | 51.4% |
Frequently asked questions
Is GPT-6 Astra better than QwQ-32B?
GPT-6 Astra is the stronger model overall, scoring 70.8 to 39.8 on the Noometry Index.
Is GPT-6 Astra or QwQ-32B better for coding?
GPT-6 Astra scores higher on coding benchmarks: 73.7 versus 35.4 in the Noometry coding category.
How many benchmarks do GPT-6 Astra and QwQ-32B share?
22 benchmarks have published results for both models. GPT-6 Astra has 56 scored results on Noometry and QwQ-32B has 36.