Pyyan / Compare / Gemini 3.6 Flash vs GPT-6.1 Sol
Gemini 3.6 Flash vs GPT-6.1 Sol
2 of 5Language Models · verified 1 Oct 2026
Gemini 3.6 FlashGooglecurrent
GPT-6.1 SolOpenAIcurrent| Specification | Gemini 3.6 Flash | GPT-6.1 Sol |
|---|---|---|
| Summary | Cheaper and more efficient than its predecessor. | Astra's score on DeepSWE, at a fifth of Astra's cost. |
| Context | — | 1.05M |
| Input ($/Mtok) | — | $2 |
| Output ($/Mtok) | — | $10 |
| Licence | Proprietary | Proprietary |
| Max output | — | 128K |
| Parameters | — | Not published |
| Released | 21 Jul 2026 | 29 Sep 2026 |
| Model ID | — | gpt-6.1-sol |
| Category | Language Models | Language Models |
| Official | Google ↗ | OpenAI ↗ |
Highlighted rows are where these differ.
Gemini 3.6 Flash
- Fewer wasted reasoning steps and tool calls
Best for cost-sensitive scale.
GPT-6.1 Sol
- Matches GPT-6 Astra on DeepSWE v1.1 at roughly a fifth of the cost
- $5.47 per Terminal-Bench Science task against $23.80 for Astra
- Above 272K tokens a prompt bills at 2x input and 1.5x output for the whole request
Best for coding and agent work at volume.