Pyyan / Compare / GPT-5.6-Cyber vs GPT-6.1 Sol
GPT-5.6-Cyber vs GPT-6.1 Sol
2 of 5Language Models · verified 1 Oct 2026
GPT-5.6-CyberOpenAIcurrentGPT-6.1 SolOpenAIcurrent| Specification | GPT-5.6-Cyber | GPT-6.1 Sol |
|---|---|---|
| Summary | Trained to find zero-days and chain exploits. Vetted applicants only. | Astra's score on DeepSWE, at a fifth of Astra's cost. |
| Context | 400K | 1.05M |
| Input ($/Mtok) | Not published | $2 |
| Output ($/Mtok) | Not published | $10 |
| Licence | Proprietary, vetted access | Proprietary |
| Max output | Not published | 128K |
| Parameters | Not published | Not published |
| Released | 10 Aug 2026 | 29 Sep 2026 |
| Model ID | gpt-5.6-cyber | gpt-6.1-sol |
| Category | Language Models | Language Models |
| Official | — | OpenAI ↗ |
Highlighted rows are where these differ.
GPT-5.6-Cyber
- Built on GPT-5.6 Sol and trained for finding zero-days and building exploit chains
- Completes 95% of exploit-chain, privilege-escalation and auth-bypass prompts, against 1.5% for Sol
- Reachable only through Daybreak Red, the applicant-vetted tier of OpenAI's defender programme
Best for authorised security research.
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.