Model comparison
GPT-6.1 Sol vs Qwen3.6 Flash
Qwen3.6 Flash has enough public results to be ranked (#176); GPT-6.1 Sol does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)Summary
- Qwen3.6 Flash is cheaper at $0.19 / $1.13 per million input/output tokens, against $2 / $10 for GPT-6.1 Sol.
- GPT-6.1 Sol accepts more context: 1.05M tokens versus 1M.
Side by side
| GPT-6.1 Sol | Qwen3.6 Flash | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 42.1 | 38.4 |
| Released | 2026-09-29 | 2026-04-27 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 1M |
| Max output | 128K | 66K |
| Input $ / M tokens | $2 | $0.19 |
| Output $ / M tokens | $10 | $1.13 |
| Results tracked | 2 | 13 |
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Category by category
Coding Not comparable
GPT-6.1 Sol: 51.4, Qwen3.6 Flash: —
Agentic & Tool Use Not comparable
GPT-6.1 Sol: 34.3, Qwen3.6 Flash: —
| Benchmark | GPT-6.1 Sol | Qwen3.6 Flash |
|---|---|---|
| GDP.pdf | 32% | — |
Reasoning Not comparable
GPT-6.1 Sol: —, Qwen3.6 Flash: 28.4 (#90)
| Benchmark | GPT-6.1 Sol | Qwen3.6 Flash |
|---|---|---|
| SimpleBench | — | 35.2% |
| Chess Puzzles | — | 20% |
| Mystery Game Puzzles | — | 18% |
| DTBench | — | 77.1% |
| LMCA | — | 31% |
| Epoch Capabilities Index | — | 143.26 |
Math Not comparable
GPT-6.1 Sol: —, Qwen3.6 Flash: 38.0 (#88)
| Benchmark | GPT-6.1 Sol | Qwen3.6 Flash |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 22.5% |
| OTIS Mock AIME 2024-2025 | — | 84.4% |
| FrontierMath (Feb 2025 set) | — | 10.3% |
| FrontierMath Tier 4 (v1) | — | 0% |
Knowledge Not comparable
GPT-6.1 Sol: —, Qwen3.6 Flash: 42.2 (#90)
| Benchmark | GPT-6.1 Sol | Qwen3.6 Flash |
|---|---|---|
| GPQA Diamond | — | 83.3% |
| SimpleQA Verified | — | 15.9% |
Frequently asked questions
Is GPT-6.1 Sol better than Qwen3.6 Flash?
Qwen3.6 Flash has enough public results to be ranked (#176); GPT-6.1 Sol does not yet, so treat this comparison as directional.
Which is cheaper, GPT-6.1 Sol or Qwen3.6 Flash?
Qwen3.6 Flash is cheaper. It lists at $0.19 per million input tokens and $1.13 per million output tokens; GPT-6.1 Sol lists at $2 and $10.
Which has the bigger context window?
GPT-6.1 Sol does, with 1.05M tokens against 1M.
How many benchmarks do GPT-6.1 Sol and Qwen3.6 Flash share?
0 benchmarks have published results for both models. GPT-6.1 Sol has 2 scored results on Noometry and Qwen3.6 Flash has 13.