Model comparison
GPT-6.1 Sol vs Qwen1.5-7B
Qwen1.5-7B has enough public results to be ranked (#270); GPT-6.1 Sol does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)Summary
- The widest gap is in coding, where GPT-6.1 Sol leads 51.4 to 31.6.
- Qwen1.5-7B has downloadable open weights; the other is API-only.
Side by side
| GPT-6.1 Sol | Qwen1.5-7B | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 42.1 | 30.8 |
| Released | 2026-09-29 | 2024-02-04 |
| Weights | Proprietary | Open |
| Context window | 1.05M | — |
| Max output | 128K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $10 | — |
| Results tracked | 2 | 13 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GPT-6.1 Sol leads
GPT-6.1 Sol: 51.4, Qwen1.5-7B: 31.6 (#271)
| Benchmark | GPT-6.1 Sol | Qwen1.5-7B |
|---|---|---|
| DeepSWE | 75.2% | — |
| LMArena Coding | — | 1107 |
Agentic & Tool Use Not comparable
GPT-6.1 Sol: 34.3, Qwen1.5-7B: —
| Benchmark | GPT-6.1 Sol | Qwen1.5-7B |
|---|---|---|
| GDP.pdf | 32% | — |
Reasoning Not comparable
GPT-6.1 Sol: —, Qwen1.5-7B: 19.5 (#237)
| Benchmark | GPT-6.1 Sol | Qwen1.5-7B |
|---|---|---|
| LMArena Hard Prompts | — | 1066 |
Math Not comparable
GPT-6.1 Sol: —, Qwen1.5-7B: 29.0 (#222)
| Benchmark | GPT-6.1 Sol | Qwen1.5-7B |
|---|---|---|
| LMArena Math | — | 1080 |
Knowledge Not comparable
GPT-6.1 Sol: —, Qwen1.5-7B: 28.2 (#239)
| Benchmark | GPT-6.1 Sol | Qwen1.5-7B |
|---|---|---|
| LMArena Expert | — | 1055 |
| MMLU | — | 62.6% |
Multilingual Not comparable
GPT-6.1 Sol: —, Qwen1.5-7B: 28.6 (#266)
| Benchmark | GPT-6.1 Sol | Qwen1.5-7B |
|---|---|---|
| LMArena Non-English | — | 1058 |
| LMArena Chinese | — | 1140 |
| LMArena Russian | — | 1006 |
Instruction Following Not comparable
GPT-6.1 Sol: —, Qwen1.5-7B: 54.4 (#276)
| Benchmark | GPT-6.1 Sol | Qwen1.5-7B |
|---|---|---|
| LMArena Instruction Following | — | 1058 |
Long Context Not comparable
GPT-6.1 Sol: —, Qwen1.5-7B: 33.1 (#261)
| Benchmark | GPT-6.1 Sol | Qwen1.5-7B |
|---|---|---|
| LMArena Longer Query | — | 1090 |
Writing & Preference Not comparable
GPT-6.1 Sol: —, Qwen1.5-7B: 29.8 (#288)
| Benchmark | GPT-6.1 Sol | Qwen1.5-7B |
|---|---|---|
| LMArena Text | — | 1084 |
| LMArena Creative Writing | — | 1035 |
| LMArena Multi-Turn | — | 1061 |
Frequently asked questions
Is GPT-6.1 Sol better than Qwen1.5-7B?
Qwen1.5-7B has enough public results to be ranked (#270); GPT-6.1 Sol does not yet, so treat this comparison as directional.
Is GPT-6.1 Sol or Qwen1.5-7B better for coding?
GPT-6.1 Sol scores higher on coding benchmarks: 51.4 versus 31.6 in the Noometry coding category.
How many benchmarks do GPT-6.1 Sol and Qwen1.5-7B share?
0 benchmarks have published results for both models. GPT-6.1 Sol has 2 scored results on Noometry and Qwen1.5-7B has 13.