Model comparison
GPT-6.1 Sol vs Qwen3.5-9B
Qwen3.5-9B has enough public results to be ranked (#235); 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 agentic & tool use, where GPT-6.1 Sol leads 34.3 to 14.4.
- Qwen3.5-9B is cheaper at $0.10 / $0.15 per million input/output tokens, against $2 / $10 for GPT-6.1 Sol.
- GPT-6.1 Sol accepts more context: 1.05M tokens versus 262K.
- Qwen3.5-9B has downloadable open weights; the other is API-only.
Side by side
| GPT-6.1 Sol | Qwen3.5-9B | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 42.1 | 33.3 |
| Released | 2026-09-29 | 2026-02-23 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 128K | 66K |
| Input $ / M tokens | $2 | $0.10 |
| Output $ / M tokens | $10 | $0.15 |
| Results tracked | 2 | 10 |
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Category by category
Coding GPT-6.1 Sol leads
GPT-6.1 Sol: 51.4, Qwen3.5-9B: 35.3 (#213)
Agentic & Tool Use GPT-6.1 Sol leads
GPT-6.1 Sol: 34.3, Qwen3.5-9B: 14.4 (#143)
| Benchmark | GPT-6.1 Sol | Qwen3.5-9B |
|---|---|---|
| Terminal-Bench | — | 9.2% |
| GDP.pdf | 32% | — |
Reasoning Not comparable
GPT-6.1 Sol: —, Qwen3.5-9B: 22.5 (#178)
| Benchmark | GPT-6.1 Sol | Qwen3.5-9B |
|---|---|---|
| CritPt | — | 0.3% |
| Chess Puzzles | — | 12% |
| DTBench | — | 71.2% |
| LMCA | — | 24.5% |
| Epoch Capabilities Index | — | 139.45 |
Math Not comparable
GPT-6.1 Sol: —, Qwen3.5-9B: 33.5 (#174)
| Benchmark | GPT-6.1 Sol | Qwen3.5-9B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 48.5% |
| OTIS Mock AIME 2024-2025 | — | 61.7% |
Knowledge Not comparable
GPT-6.1 Sol: —, Qwen3.5-9B: 46.0 (#77)
| Benchmark | GPT-6.1 Sol | Qwen3.5-9B |
|---|---|---|
| GPQA Diamond | — | 79% |
Frequently asked questions
Is GPT-6.1 Sol better than Qwen3.5-9B?
Qwen3.5-9B has enough public results to be ranked (#235); GPT-6.1 Sol does not yet, so treat this comparison as directional.
Which is cheaper, GPT-6.1 Sol or Qwen3.5-9B?
Qwen3.5-9B is cheaper. It lists at $0.10 per million input tokens and $0.15 per million output tokens; GPT-6.1 Sol lists at $2 and $10.
Is GPT-6.1 Sol or Qwen3.5-9B better for coding?
GPT-6.1 Sol scores higher on coding benchmarks: 51.4 versus 35.3 in the Noometry coding category.
Which has the bigger context window?
GPT-6.1 Sol does, with 1.05M tokens against 262K.
How many benchmarks do GPT-6.1 Sol and Qwen3.5-9B share?
0 benchmarks have published results for both models. GPT-6.1 Sol has 2 scored results on Noometry and Qwen3.5-9B has 10.