Model comparison
GPT-6 Astra vs Qwen Max
GPT-6 Astra is the stronger model overall, scoring 70.8 to 34.7 on the Noometry Index. Qwen Max costs 7.1× less per token, which makes it the better buy when GPT-6 Astra's lead doesn't matter for your workload.
Last verified . 19 shared benchmarks.
Alibaba (Qwen)Summary
- They share 19 benchmarks with published results for both. GPT-6 Astra scores higher in 8 categories and Qwen Max in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-6 Astra leads 93.5 to 22.3.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 100% for GPT-6 Astra and 16.1% for Qwen Max.
- Qwen Max is cheaper at $1.60 / $6.40 per million input/output tokens, against $10 / $50 for GPT-6 Astra.
- GPT-6 Astra accepts more context: 1.05M tokens versus 33K.
Side by side
| GPT-6 Astra | Qwen Max | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 70.8 | 34.7 |
| Released | 2026-09-03 | 2024-04-03 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 33K |
| Max output | 128K | 8K |
| Input $ / M tokens | $10 | $1.60 |
| Output $ / M tokens | $50 | $6.40 |
| Results tracked | 56 | 23 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GPT-6 Astra leads
GPT-6 Astra: 73.7 (#2), Qwen Max: 30.7 (#292)
| Benchmark | GPT-6 Astra | Qwen Max |
|---|---|---|
| LMArena Coding | 1487 | 1288 |
| DeepSWE | 74.1% | — |
| FrontierCode | 53.3% | — |
| Aider Polyglot | — | 21.8% |
| LMArena WebDev | 1786 | — |
| FrontierSWE | 65.5% | — |
| SciCode | 56.5% | — |
| GSO | 79.4% | — |
| WeirdML | 93.6% | — |
| MirrorCode | 46.7% | — |
| ALE-Bench | 2,951 | — |
Agentic & Tool Use Not comparable
GPT-6 Astra: 52.9 (#3), Qwen Max: —
| Benchmark | GPT-6 Astra | Qwen Max |
|---|---|---|
| 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), Qwen Max: 25.1 (#151)
| Benchmark | GPT-6 Astra | Qwen Max |
|---|---|---|
| LMArena Hard Prompts | 1462 | 1269 |
| ARC-AGI-2 | 95% | — |
| NYT Connections (extended) | 98.1% | — |
| ARC-AGI-1 | 98.5% | — |
| CritPt | 31.7% | — |
| Chess Puzzles | 72% | — |
| EBR-Bench | 76.2% | — |
| Mystery Game Puzzles | 84% | — |
| DTBench | 97.3% | — |
| LMCA | 64.4% | — |
| Bench to the Future 3 | 0.14 | — |
| Epoch Capabilities Index | 166.45 | — |
Math GPT-6 Astra leads
GPT-6 Astra: 93.5 (#2), Qwen Max: 22.3 (#276)
| Benchmark | GPT-6 Astra | Qwen Max |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 100% | 16.1% |
| LMArena Math | 1465 | 1275 |
| FrontierMath (Tiers 1-3) | 93.7% | — |
| FrontierMath Tier 4 | 97.6% | — |
| ProofBench | 99% | — |
| MATH Level 5 | — | 67.2% |
| FrontierMath (Feb 2025 set) | — | 1% |
| FrontierMath Erdős | 2.9% | — |
Knowledge GPT-6 Astra leads
GPT-6 Astra: 75.3 (#1), Qwen Max: 30.3 (#228)
| Benchmark | GPT-6 Astra | Qwen Max |
|---|---|---|
| GPQA Diamond | 95.8% | 56.1% |
| LMArena Expert | 1483 | 1248 |
| Humanity's Last Exam | 54.8% | — |
| SimpleQA Verified | 75.6% | — |
| Vectara Hallucination Rate | 8.7% | — |
Multimodal Not comparable
GPT-6 Astra: 55.0 (#3), Qwen Max: —
| Benchmark | GPT-6 Astra | Qwen Max |
|---|---|---|
| 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), Qwen Max: 41.8 (#202)
| Benchmark | GPT-6 Astra | Qwen Max |
|---|---|---|
| LMArena Non-English | 1430 | 1263 |
| LMArena Chinese | 1484 | 1254 |
| LMArena French | 1456 | 1330 |
| LMArena German | 1440 | 1254 |
| LMArena Japanese | 1379 | 1205 |
| LMArena Korean | 1426 | 1142 |
| LMArena Russian | 1436 | 1274 |
| LMArena Spanish | 1407 | 1290 |
Instruction Following GPT-6 Astra leads
GPT-6 Astra: 76.3 (#44), Qwen Max: 66.5 (#208)
| Benchmark | GPT-6 Astra | Qwen Max |
|---|---|---|
| LMArena Instruction Following | 1450 | 1262 |
Long Context GPT-6 Astra leads
GPT-6 Astra: 44.5 (#62), Qwen Max: 39.4 (#180)
| Benchmark | GPT-6 Astra | Qwen Max |
|---|---|---|
| LMArena Longer Query | 1456 | 1288 |
| Fiction.LiveBench | — | 66.7% |
Writing & Preference GPT-6 Astra leads
GPT-6 Astra: 75.3 (#7), Qwen Max: 47.8 (#205)
| Benchmark | GPT-6 Astra | Qwen Max |
|---|---|---|
| LMArena Text | 1441 | 1282 |
| LMArena Creative Writing | 1418 | 1248 |
| LMArena Multi-Turn | 1448 | 1277 |
| EQ-Bench Creative Writing | 2173 | — |
Frequently asked questions
Is GPT-6 Astra better than Qwen Max?
GPT-6 Astra is the stronger model overall, scoring 70.8 to 34.7 on the Noometry Index. Qwen Max costs 7.1× less per token, which makes it the better buy when GPT-6 Astra's lead doesn't matter for your workload.
Which is cheaper, GPT-6 Astra or Qwen Max?
Qwen Max is cheaper. It lists at $1.60 per million input tokens and $6.40 per million output tokens; GPT-6 Astra lists at $10 and $50.
Is GPT-6 Astra or Qwen Max better for coding?
GPT-6 Astra scores higher on coding benchmarks: 73.7 versus 30.7 in the Noometry coding category.
Which has the bigger context window?
GPT-6 Astra does, with 1.05M tokens against 33K.
How many benchmarks do GPT-6 Astra and Qwen Max share?
19 benchmarks have published results for both models. GPT-6 Astra has 56 scored results on Noometry and Qwen Max has 23.