Model comparison
GPT-6 Astra vs Qwen3.6 Plus
GPT-6 Astra is the stronger model overall, scoring 70.8 to 47.5 on the Noometry Index. Qwen3.6 Plus costs 18× less per token, which makes it the better buy when GPT-6 Astra's lead doesn't matter for your workload.
Last verified . 32 shared benchmarks.
Alibaba (Qwen)Summary
- They share 32 benchmarks with published results for both. GPT-6 Astra scores higher in 7 categories and Qwen3.6 Plus in 1 category; 6 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-6 Astra leads 85.1 to 29.3.
- The biggest single-benchmark swing is Mystery Game Puzzles: 84% for GPT-6 Astra and 12% for Qwen3.6 Plus.
- Qwen3.6 Plus is cheaper at $0.50 / $3 per million input/output tokens, against $10 / $50 for GPT-6 Astra.
- GPT-6 Astra accepts more context: 1.05M tokens versus 1M.
Side by side
| GPT-6 Astra | Qwen3.6 Plus | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 70.8 | 47.5 |
| Released | 2026-09-03 | 2026-03-31 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 1M |
| Max output | 128K | 66K |
| Input $ / M tokens | $10 | $0.50 |
| Output $ / M tokens | $50 | $3 |
| Results tracked | 56 | 37 |
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Category by category
Coding GPT-6 Astra leads
GPT-6 Astra: 73.7 (#2), Qwen3.6 Plus: 40.8 (#130)
| Benchmark | GPT-6 Astra | Qwen3.6 Plus |
|---|---|---|
| LMArena WebDev | 1786 | 1461 |
| SciCode | 56.5% | 40.7% |
| LMArena Coding | 1487 | 1467 |
| ALE-Bench | 2,951 | 670.15 |
| SWE-bench Verified | — | 57.9% |
| DeepSWE | 74.1% | — |
| FrontierCode | 53.3% | — |
| FrontierSWE | 65.5% | — |
| GSO | 79.4% | — |
| WeirdML | 93.6% | — |
| MirrorCode | 46.7% | — |
Agentic & Tool Use Not comparable
GPT-6 Astra: 52.9 (#3), Qwen3.6 Plus: —
| Benchmark | GPT-6 Astra | Qwen3.6 Plus |
|---|---|---|
| Vending-Bench 2 | 15,515 | 5,115 |
| APEX-Agents | 64.7% | — |
| Remote Labor Index | 20.8% | — |
| BALROG | 68.3% | — |
| GDP.pdf | 34.2% | — |
Reasoning GPT-6 Astra leads
GPT-6 Astra: 85.1 (#1), Qwen3.6 Plus: 29.3 (#93)
| Benchmark | GPT-6 Astra | Qwen3.6 Plus |
|---|---|---|
| NYT Connections (extended) | 98.1% | 60.3% |
| CritPt | 31.7% | 2.9% |
| Chess Puzzles | 72% | 17% |
| LMArena Hard Prompts | 1462 | 1449 |
| Mystery Game Puzzles | 84% | 12% |
| DTBench | 97.3% | 81.9% |
| LMCA | 64.4% | 33.1% |
| Epoch Capabilities Index | 166.45 | 147.65 |
| ARC-AGI-2 | 95% | — |
| ARC-AGI-1 | 98.5% | — |
| Thematic Generalization | — | 59.5% |
| EBR-Bench | 76.2% | — |
| Bench to the Future 3 | 0.14 | — |
Math GPT-6 Astra leads
GPT-6 Astra: 93.5 (#2), Qwen3.6 Plus: 51.8 (#54)
| Benchmark | GPT-6 Astra | Qwen3.6 Plus |
|---|---|---|
| FrontierMath (Tiers 1-3) | 93.7% | 38.2% |
| OTIS Mock AIME 2024-2025 | 100% | 93.3% |
| LMArena Math | 1465 | 1450 |
| FrontierMath Tier 4 | 97.6% | — |
| ProofBench | 99% | — |
| FrontierMath (Feb 2025 set) | — | 26.2% |
| FrontierMath Erdős | 2.9% | — |
| FrontierMath Tier 4 (v1) | — | 8.3% |
Knowledge GPT-6 Astra leads
GPT-6 Astra: 75.3 (#1), Qwen3.6 Plus: 56.1 (#45)
| Benchmark | GPT-6 Astra | Qwen3.6 Plus |
|---|---|---|
| GPQA Diamond | 95.8% | 88.4% |
| SimpleQA Verified | 75.6% | 44.1% |
| LMArena Expert | 1483 | 1454 |
| Humanity's Last Exam | 54.8% | — |
| Vectara Hallucination Rate | 8.7% | — |
Multimodal Not comparable
GPT-6 Astra: 55.0 (#3), Qwen3.6 Plus: —
| Benchmark | GPT-6 Astra | Qwen3.6 Plus |
|---|---|---|
| LMArena Vision | 1281 | — |
| Blueprint-Bench 2 | 49.7% | — |
| Furniture Assembly | 80% | — |
| LMArena Document | 1468 | — |
Multilingual Too close to call
GPT-6 Astra: 53.7 (#61), Qwen3.6 Plus: 53.3 (#70)
| Benchmark | GPT-6 Astra | Qwen3.6 Plus |
|---|---|---|
| LMArena Non-English | 1430 | 1424 |
| LMArena Chinese | 1484 | 1477 |
| LMArena French | 1456 | 1455 |
| LMArena German | 1440 | 1452 |
| LMArena Japanese | 1379 | 1389 |
| LMArena Korean | 1426 | 1379 |
| LMArena Russian | 1436 | 1434 |
| LMArena Spanish | 1407 | 1432 |
Instruction Following GPT-6 Astra leads
GPT-6 Astra: 76.3 (#44), Qwen3.6 Plus: 75.0 (#74)
| Benchmark | GPT-6 Astra | Qwen3.6 Plus |
|---|---|---|
| LMArena Instruction Following | 1450 | 1425 |
Long Context Too close to call
GPT-6 Astra: 44.5 (#62), Qwen3.6 Plus: 45.2 (#49)
| Benchmark | GPT-6 Astra | Qwen3.6 Plus |
|---|---|---|
| LMArena Longer Query | 1456 | 1439 |
| CL-bench | — | 20.3% |
Writing & Preference GPT-6 Astra leads
GPT-6 Astra: 75.3 (#7), Qwen3.6 Plus: 62.2 (#82)
| Benchmark | GPT-6 Astra | Qwen3.6 Plus |
|---|---|---|
| LMArena Text | 1441 | 1437 |
| LMArena Creative Writing | 1418 | 1404 |
| LMArena Multi-Turn | 1448 | 1438 |
| EQ-Bench Creative Writing | 2173 | — |
Frequently asked questions
Is GPT-6 Astra better than Qwen3.6 Plus?
GPT-6 Astra is the stronger model overall, scoring 70.8 to 47.5 on the Noometry Index. Qwen3.6 Plus costs 18× 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 Qwen3.6 Plus?
Qwen3.6 Plus is cheaper. It lists at $0.50 per million input tokens and $3 per million output tokens; GPT-6 Astra lists at $10 and $50.
Is GPT-6 Astra or Qwen3.6 Plus better for coding?
GPT-6 Astra scores higher on coding benchmarks: 73.7 versus 40.8 in the Noometry coding category.
Which has the bigger context window?
GPT-6 Astra does, with 1.05M tokens against 1M.
How many benchmarks do GPT-6 Astra and Qwen3.6 Plus share?
32 benchmarks have published results for both models. GPT-6 Astra has 56 scored results on Noometry and Qwen3.6 Plus has 37.