Model comparison
GPT-6 Sol vs Qwen3.6 Max Preview
GPT-6 Sol is the stronger model overall, scoring 61.8 to 51.5 on the Noometry Index.
Last verified . 24 shared benchmarks.
Alibaba (Qwen)Summary
- They share 24 benchmarks with published results for both. GPT-6 Sol scores higher in 5 categories and Qwen3.6 Max Preview in 3 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-6 Sol leads 87.2 to 54.1.
- The biggest single-benchmark swing is Mystery Game Puzzles: 56% for GPT-6 Sol and 19% for Qwen3.6 Max Preview.
- Qwen3.6 Max Preview is cheaper at $1.30 / $7.80 per million input/output tokens, against $2 / $10 for GPT-6 Sol.
- GPT-6 Sol accepts more context: 1.05M tokens versus 262K.
Side by side
| GPT-6 Sol | Qwen3.6 Max Preview | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 61.8 | 51.5 |
| Released | 2026-09-22 | 2026-04-20 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 262K |
| Max output | 128K | 66K |
| Input $ / M tokens | $2 | $1.30 |
| Output $ / M tokens | $10 | $7.80 |
| Results tracked | 45 | 29 |
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Category by category
Coding GPT-6 Sol leads
GPT-6 Sol: 60.1 (#11), Qwen3.6 Max Preview: 48.7 (#54)
| Benchmark | GPT-6 Sol | Qwen3.6 Max Preview |
|---|---|---|
| LMArena WebDev | 1688 | 1482 |
| LMArena Coding | 1447 | 1471 |
| SWE-bench Verified | — | 76.7% |
| DeepSWE | 68.8% | — |
| FrontierCode | 49.3% | — |
| SciCode | 57.6% | — |
| ALE-Bench | 2,462 | — |
Agentic & Tool Use Not comparable
GPT-6 Sol: 37.2 (#36), Qwen3.6 Max Preview: —
| Benchmark | GPT-6 Sol | Qwen3.6 Max Preview |
|---|---|---|
| Vending-Bench 2 | 14,428 | 4,254 |
| APEX-Agents | 54.3% | — |
| GDP.pdf | 26.4% | — |
Reasoning GPT-6 Sol leads
GPT-6 Sol: 74.0 (#9), Qwen3.6 Max Preview: 41.7 (#53)
| Benchmark | GPT-6 Sol | Qwen3.6 Max Preview |
|---|---|---|
| NYT Connections (extended) | 90.1% | 74.1% |
| LMArena Hard Prompts | 1418 | 1457 |
| Mystery Game Puzzles | 56% | 19% |
| DTBench | 97.3% | 87.2% |
| LMCA | 59.1% | 42.5% |
| Epoch Capabilities Index | 162.72 | 149.24 |
| ARC-AGI-2 | 89.6% | — |
| SimpleBench | — | 63% |
| ARC-AGI-1 | 95.5% | — |
| CritPt | 30.9% | — |
| Chess Puzzles | — | 20% |
| EBR-Bench | 53.3% | — |
Math GPT-6 Sol leads
GPT-6 Sol: 87.2 (#7), Qwen3.6 Max Preview: 54.1 (#46)
| Benchmark | GPT-6 Sol | Qwen3.6 Max Preview |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 100% | 91.1% |
| LMArena Math | 1402 | 1465 |
| FrontierMath (Tiers 1-3) | 89.8% | — |
| FrontierMath Tier 4 | 90% | — |
| ProofBench | 83% | — |
| FrontierMath (Feb 2025 set) | — | 23.1% |
| FrontierMath Tier 4 (v1) | — | 4.2% |
Knowledge GPT-6 Sol leads
GPT-6 Sol: 64.8 (#15), Qwen3.6 Max Preview: 57.6 (#39)
| Benchmark | GPT-6 Sol | Qwen3.6 Max Preview |
|---|---|---|
| GPQA Diamond | 94.3% | 87.4% |
| SimpleQA Verified | 60.7% | 52% |
| LMArena Expert | 1439 | 1478 |
| Vectara Hallucination Rate | 6.5% | — |
Multimodal Not comparable
GPT-6 Sol: 47.6 (#10), Qwen3.6 Max Preview: —
| Benchmark | GPT-6 Sol | Qwen3.6 Max Preview |
|---|---|---|
| LMArena Vision | 1245 | — |
| Blueprint-Bench 2 | 36.9% | — |
| Furniture Assembly | 58.3% | — |
Multilingual Qwen3.6 Max Preview leads
GPT-6 Sol: 50.5 (#118), Qwen3.6 Max Preview: 54.2 (#48)
| Benchmark | GPT-6 Sol | Qwen3.6 Max Preview |
|---|---|---|
| LMArena Non-English | 1385 | 1437 |
| LMArena Chinese | 1405 | 1487 |
| LMArena French | 1410 | 1449 |
| LMArena Russian | 1401 | 1445 |
| LMArena Spanish | 1384 | 1454 |
| LMArena German | 1390 | — |
| LMArena Japanese | 1385 | — |
| LMArena Korean | 1341 | — |
Instruction Following Qwen3.6 Max Preview leads
GPT-6 Sol: 74.5 (#94), Qwen3.6 Max Preview: 75.7 (#55)
| Benchmark | GPT-6 Sol | Qwen3.6 Max Preview |
|---|---|---|
| LMArena Instruction Following | 1412 | 1438 |
Long Context Qwen3.6 Max Preview leads
GPT-6 Sol: 43.1 (#108), Qwen3.6 Max Preview: 44.6 (#61)
| Benchmark | GPT-6 Sol | Qwen3.6 Max Preview |
|---|---|---|
| LMArena Longer Query | 1411 | 1457 |
Writing & Preference GPT-6 Sol leads
GPT-6 Sol: 71.9 (#18), Qwen3.6 Max Preview: 63.8 (#60)
| Benchmark | GPT-6 Sol | Qwen3.6 Max Preview |
|---|---|---|
| LMArena Text | 1395 | 1447 |
| LMArena Creative Writing | 1378 | 1435 |
| LMArena Multi-Turn | 1412 | 1456 |
| EQ-Bench Creative Writing | 2125 | — |
Frequently asked questions
Is GPT-6 Sol better than Qwen3.6 Max Preview?
GPT-6 Sol is the stronger model overall, scoring 61.8 to 51.5 on the Noometry Index.
Which is cheaper, GPT-6 Sol or Qwen3.6 Max Preview?
Qwen3.6 Max Preview is cheaper. It lists at $1.30 per million input tokens and $7.80 per million output tokens; GPT-6 Sol lists at $2 and $10.
Is GPT-6 Sol or Qwen3.6 Max Preview better for coding?
GPT-6 Sol scores higher on coding benchmarks: 60.1 versus 48.7 in the Noometry coding category.
Which has the bigger context window?
GPT-6 Sol does, with 1.05M tokens against 262K.
How many benchmarks do GPT-6 Sol and Qwen3.6 Max Preview share?
24 benchmarks have published results for both models. GPT-6 Sol has 45 scored results on Noometry and Qwen3.6 Max Preview has 29.