CodeRabbit uses GPT‑6.1 Sol in security agent
CodeRabbit is using GPT‑6.1 Sol as the primary model in its security agent to extend review beyond individual changes and help developers understand risks across complex codebases. The agent connects behavior across files and components to surface potential security issues during pull‑request review and in Deep Scan to investigate repositories, dependencies, and component interactions.
Key points
- CodeRabbit uses GPT‑6.1 Sol as primary model in its security agent.
- The agent connects behavior across files to surface security issues during pull‑request review.
- CodeRabbit Secure can draft pull requests with proposed fixes and verify exploits in an isolated sandbox.
CodeRabbit Secure extends investigation to linked repositories, such as a shared authentication library, to help teams understand how a weakness could affect the wider system. The system can flag security‑related issues across thousands of repositories and organizations, feed findings into pull‑request workflows, and for user‑selected findings, attempt exploit verification in an isolated sandbox. For supported issues, it can draft a pull request with a proposed fix for a person to review and approve. Human reviewers remain responsible for deciding which changes to ship.
Model page: GPT-6.1 Sol →
GPT-6.1 Sol helps CodeRabbit strengthen security across complex codebases
OpenAI · 21 October 2026
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