Model comparison
GPT-6 Sol vs Qwen2-72B
GPT-6 Sol is the stronger model overall, scoring 49.2 to 29.5 on the Noometry Index.
Last verified . 13 shared benchmarks.
Alibaba (Qwen)Summary
- They share 13 benchmarks with published results for both. GPT-6 Sol scores higher in 9 categories and Qwen2-72B in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-6 Sol leads 72.3 to 41.0.
- Qwen2-72B has downloadable open weights; the other is API-only.
Side by side
| GPT-6 Sol | Qwen2-72B | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 49.2 | 29.5 |
| Released | 2026-09-22 | 2024-06-07 |
| Weights | Proprietary | Open |
| Context window | 1.05M | — |
| Max output | 128K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $10 | — |
| Results tracked | 22 | 26 |
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Category by category
Coding GPT-6 Sol leads
GPT-6 Sol: 59.6 (#11), Qwen2-72B: 28.7 (#303)
| Benchmark | GPT-6 Sol | Qwen2-72B |
|---|---|---|
| LMArena Coding | 1453 | 1196 |
| DeepSWE | 68.8% | — |
| FrontierCode | 49.3% | — |
| LMArena WebDev | 1692 | — |
| WeirdML | — | 11.3% |
| BigCodeBench Instruct | — | 38.5% |
| BigCodeBench Complete | — | 54% |
Agentic & Tool Use GPT-6 Sol leads
GPT-6 Sol: 33.5 (#49), Qwen2-72B: 16.9 (#138)
| Benchmark | GPT-6 Sol | Qwen2-72B |
|---|---|---|
| TheAgentCompany | — | 1.1% |
| GDP.pdf | 28% | — |
| METR Time Horizons | — | 29.9% |
Reasoning GPT-6 Sol leads
GPT-6 Sol: 49.3 (#34), Qwen2-72B: 22.2 (#184)
| Benchmark | GPT-6 Sol | Qwen2-72B |
|---|---|---|
| LMArena Hard Prompts | 1420 | 1191 |
| NYT Connections (extended) | 90.1% | — |
| EBR-Bench | 53.3% | — |
| Epoch Capabilities Index | — | 125.27 |
Math GPT-6 Sol leads
GPT-6 Sol: 35.8 (#135), Qwen2-72B: 27.9 (#232)
| Benchmark | GPT-6 Sol | Qwen2-72B |
|---|---|---|
| LMArena Math | 1404 | 1235 |
| MATH Level 5 | — | 39.1% |
Knowledge GPT-6 Sol leads
GPT-6 Sol: 43.0 (#87), Qwen2-72B: 21.2 (#270)
| Benchmark | GPT-6 Sol | Qwen2-72B |
|---|---|---|
| LMArena Expert | 1449 | 1171 |
| GPQA Diamond | — | 40.8% |
| Vectara Hallucination Rate | 6.5% | — |
| MMLU | — | 82.4% |
Multimodal Not comparable
GPT-6 Sol: 47.6 (#9), Qwen2-72B: —
| Benchmark | GPT-6 Sol | Qwen2-72B |
|---|---|---|
| Furniture Assembly | 58.3% | — |
Multilingual GPT-6 Sol leads
GPT-6 Sol: 51.0 (#113), Qwen2-72B: 36.0 (#239)
| Benchmark | GPT-6 Sol | Qwen2-72B |
|---|---|---|
| LMArena Non-English | 1389 | 1176 |
| LMArena Chinese | 1416 | 1240 |
| LMArena Russian | 1407 | 1169 |
| LMArena Spanish | 1377 | 1168 |
| LMArena French | — | 1169 |
| LMArena German | — | 1151 |
| LMArena Japanese | — | 1111 |
| LMArena Korean | — | 1083 |
Instruction Following GPT-6 Sol leads
GPT-6 Sol: 74.4 (#97), Qwen2-72B: 62.0 (#236)
| Benchmark | GPT-6 Sol | Qwen2-72B |
|---|---|---|
| LMArena Instruction Following | 1406 | 1181 |
Long Context GPT-6 Sol leads
GPT-6 Sol: 43.2 (#100), Qwen2-72B: 36.1 (#230)
| Benchmark | GPT-6 Sol | Qwen2-72B |
|---|---|---|
| LMArena Longer Query | 1415 | 1193 |
Writing & Preference GPT-6 Sol leads
GPT-6 Sol: 72.3 (#15), Qwen2-72B: 41.0 (#236)
| Benchmark | GPT-6 Sol | Qwen2-72B |
|---|---|---|
| LMArena Text | 1396 | 1203 |
| LMArena Creative Writing | 1392 | 1181 |
| LMArena Multi-Turn | 1405 | 1195 |
| EQ-Bench Creative Writing | 2125 | — |
Frequently asked questions
Is GPT-6 Sol better than Qwen2-72B?
GPT-6 Sol is the stronger model overall, scoring 49.2 to 29.5 on the Noometry Index.
Is GPT-6 Sol or Qwen2-72B better for coding?
GPT-6 Sol scores higher on coding benchmarks: 59.6 versus 28.7 in the Noometry coding category.
How many benchmarks do GPT-6 Sol and Qwen2-72B share?
13 benchmarks have published results for both models. GPT-6 Sol has 22 scored results on Noometry and Qwen2-72B has 26.