Model comparison
GPT-6 Sol vs Qwen Max
GPT-6 Sol is the stronger model overall, scoring 61.8 to 34.7 on the Noometry Index.
Last verified . 19 shared benchmarks.
Summary
- They share 19 benchmarks with published results for both. GPT-6 Sol 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 Sol leads 87.2 to 22.3.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 100% for GPT-6 Sol and 16.1% for Qwen Max.
- Qwen Max is cheaper at $1.60 / $6.40 per million input/output tokens, against $2 / $10 for GPT-6 Sol.
- GPT-6 Sol accepts more context: 1.05M tokens versus 33K.
Side by side
| GPT-6 Sol | Qwen Max | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 61.8 | 34.7 |
| Released | 2026-09-22 | 2024-04-03 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 33K |
| Max output | 128K | 8K |
| Input $ / M tokens | $2 | $1.60 |
| Output $ / M tokens | $10 | $6.40 |
| Results tracked | 45 | 23 |
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Category by category
Coding GPT-6 Sol leads
GPT-6 Sol: 60.1 (#11), Qwen Max: 30.7 (#292)
| Benchmark | GPT-6 Sol | Qwen Max |
|---|---|---|
| LMArena Coding | 1447 | 1288 |
| DeepSWE | 68.8% | — |
| FrontierCode | 49.3% | — |
| Aider Polyglot | — | 21.8% |
| LMArena WebDev | 1688 | — |
| SciCode | 57.6% | — |
| ALE-Bench | 2,462 | — |
Agentic & Tool Use Not comparable
GPT-6 Sol: 37.2 (#36), Qwen Max: —
| Benchmark | GPT-6 Sol | Qwen Max |
|---|---|---|
| APEX-Agents | 54.3% | — |
| GDP.pdf | 26.4% | — |
| Vending-Bench 2 | 14,428 | — |
Reasoning GPT-6 Sol leads
GPT-6 Sol: 74.0 (#9), Qwen Max: 25.1 (#151)
| Benchmark | GPT-6 Sol | Qwen Max |
|---|---|---|
| LMArena Hard Prompts | 1418 | 1269 |
| ARC-AGI-2 | 89.6% | — |
| NYT Connections (extended) | 90.1% | — |
| ARC-AGI-1 | 95.5% | — |
| CritPt | 30.9% | — |
| EBR-Bench | 53.3% | — |
| Mystery Game Puzzles | 56% | — |
| DTBench | 97.3% | — |
| LMCA | 59.1% | — |
| Epoch Capabilities Index | 162.72 | — |
Math GPT-6 Sol leads
GPT-6 Sol: 87.2 (#7), Qwen Max: 22.3 (#276)
| Benchmark | GPT-6 Sol | Qwen Max |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 100% | 16.1% |
| LMArena Math | 1402 | 1275 |
| FrontierMath (Tiers 1-3) | 89.8% | — |
| FrontierMath Tier 4 | 90% | — |
| ProofBench | 83% | — |
| MATH Level 5 | — | 67.2% |
| FrontierMath (Feb 2025 set) | — | 1% |
Knowledge GPT-6 Sol leads
GPT-6 Sol: 64.8 (#15), Qwen Max: 30.3 (#228)
| Benchmark | GPT-6 Sol | Qwen Max |
|---|---|---|
| GPQA Diamond | 94.3% | 56.1% |
| LMArena Expert | 1439 | 1248 |
| SimpleQA Verified | 60.7% | — |
| Vectara Hallucination Rate | 6.5% | — |
Multimodal Not comparable
GPT-6 Sol: 47.6 (#10), Qwen Max: —
| Benchmark | GPT-6 Sol | Qwen Max |
|---|---|---|
| LMArena Vision | 1245 | — |
| Blueprint-Bench 2 | 36.9% | — |
| Furniture Assembly | 58.3% | — |
Multilingual GPT-6 Sol leads
GPT-6 Sol: 50.5 (#118), Qwen Max: 41.8 (#202)
| Benchmark | GPT-6 Sol | Qwen Max |
|---|---|---|
| LMArena Non-English | 1385 | 1263 |
| LMArena Chinese | 1405 | 1254 |
| LMArena French | 1410 | 1330 |
| LMArena German | 1390 | 1254 |
| LMArena Japanese | 1385 | 1205 |
| LMArena Korean | 1341 | 1142 |
| LMArena Russian | 1401 | 1274 |
| LMArena Spanish | 1384 | 1290 |
Instruction Following GPT-6 Sol leads
GPT-6 Sol: 74.5 (#94), Qwen Max: 66.5 (#208)
| Benchmark | GPT-6 Sol | Qwen Max |
|---|---|---|
| LMArena Instruction Following | 1412 | 1262 |
Long Context GPT-6 Sol leads
GPT-6 Sol: 43.1 (#108), Qwen Max: 39.4 (#180)
| Benchmark | GPT-6 Sol | Qwen Max |
|---|---|---|
| LMArena Longer Query | 1411 | 1288 |
| Fiction.LiveBench | — | 66.7% |
Writing & Preference GPT-6 Sol leads
GPT-6 Sol: 71.9 (#18), Qwen Max: 47.8 (#205)
| Benchmark | GPT-6 Sol | Qwen Max |
|---|---|---|
| LMArena Text | 1395 | 1282 |
| LMArena Creative Writing | 1378 | 1248 |
| LMArena Multi-Turn | 1412 | 1277 |
| EQ-Bench Creative Writing | 2125 | — |
Frequently asked questions
Is GPT-6 Sol better than Qwen Max?
GPT-6 Sol is the stronger model overall, scoring 61.8 to 34.7 on the Noometry Index.
Which is cheaper, GPT-6 Sol 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 Sol lists at $2 and $10.
Is GPT-6 Sol or Qwen Max better for coding?
GPT-6 Sol scores higher on coding benchmarks: 60.1 versus 30.7 in the Noometry coding category.
Which has the bigger context window?
GPT-6 Sol does, with 1.05M tokens against 33K.
How many benchmarks do GPT-6 Sol and Qwen Max share?
19 benchmarks have published results for both models. GPT-6 Sol has 45 scored results on Noometry and Qwen Max has 23.