Model comparison
GPT-6.1 Sol vs Qwen2.5 32B Instruct
Qwen2.5 32B Instruct has enough public results to be ranked (#291); 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 38.1.
- Qwen2.5 32B Instruct is cheaper at $0.70 / $2.80 per million input/output tokens, against $2 / $10 for GPT-6.1 Sol.
- GPT-6.1 Sol accepts more context: 1.05M tokens versus 131K.
- Qwen2.5 32B Instruct has downloadable open weights; the other is API-only.
Side by side
| GPT-6.1 Sol | Qwen2.5 32B Instruct | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 42.1 | 29.7 |
| Released | 2026-09-29 | 2024-09 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 131K |
| Max output | 128K | 8K |
| Input $ / M tokens | $2 | $0.70 |
| Output $ / M tokens | $10 | $2.80 |
| Results tracked | 2 | 7 |
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Category by category
Coding GPT-6.1 Sol leads
GPT-6.1 Sol: 51.4, Qwen2.5 32B Instruct: 38.1 (#165)
| Benchmark | GPT-6.1 Sol | Qwen2.5 32B Instruct |
|---|---|---|
| DeepSWE | 75.2% | — |
| BigCodeBench Instruct | — | 45% |
| BigCodeBench Complete | — | 52.3% |
Agentic & Tool Use Not comparable
GPT-6.1 Sol: 34.3, Qwen2.5 32B Instruct: —
| Benchmark | GPT-6.1 Sol | Qwen2.5 32B Instruct |
|---|---|---|
| GDP.pdf | 32% | — |
Reasoning Not comparable
GPT-6.1 Sol: —, Qwen2.5 32B Instruct: 18.5 (#262)
| Benchmark | GPT-6.1 Sol | Qwen2.5 32B Instruct |
|---|---|---|
| Chess Puzzles | — | 0% |
| Epoch Capabilities Index | — | 128.52 |
Math Not comparable
GPT-6.1 Sol: —, Qwen2.5 32B Instruct: 15.3 (#289)
| Benchmark | GPT-6.1 Sol | Qwen2.5 32B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 7.4% |
| MATH Level 5 | — | 56.1% |
Knowledge Not comparable
GPT-6.1 Sol: —, Qwen2.5 32B Instruct: 24.9 (#259)
| Benchmark | GPT-6.1 Sol | Qwen2.5 32B Instruct |
|---|---|---|
| GPQA Diamond | — | 46.1% |
Frequently asked questions
Is GPT-6.1 Sol better than Qwen2.5 32B Instruct?
Qwen2.5 32B Instruct has enough public results to be ranked (#291); GPT-6.1 Sol does not yet, so treat this comparison as directional.
Which is cheaper, GPT-6.1 Sol or Qwen2.5 32B Instruct?
Qwen2.5 32B Instruct is cheaper. It lists at $0.70 per million input tokens and $2.80 per million output tokens; GPT-6.1 Sol lists at $2 and $10.
Is GPT-6.1 Sol or Qwen2.5 32B Instruct better for coding?
GPT-6.1 Sol scores higher on coding benchmarks: 51.4 versus 38.1 in the Noometry coding category.
Which has the bigger context window?
GPT-6.1 Sol does, with 1.05M tokens against 131K.
How many benchmarks do GPT-6.1 Sol and Qwen2.5 32B Instruct share?
0 benchmarks have published results for both models. GPT-6.1 Sol has 2 scored results on Noometry and Qwen2.5 32B Instruct has 7.