Google's Gemini 3.1 Pro Now Available in GitHub Copilot Public Preview
Key Takeaways
- ▸Google's Gemini 3.1 Pro is now available in public preview across GitHub Copilot for Pro, Pro+, Business, and Enterprise users
- ▸Early testing shows the model excels at edit-then-test loops with high tool precision and fewer tool calls per benchmark
- ▸The model is accessible across all major Copilot platforms including VS Code, Visual Studio, GitHub.com, and GitHub Mobile
Summary
GitHub has announced that Google's Gemini 3.1 Pro is now rolling out in public preview across GitHub Copilot, marking a significant expansion of model choice for developers using the AI-powered coding assistant. The integration brings Google's latest agentic coding model to Copilot Pro, Pro+, Business, and Enterprise users across multiple platforms including Visual Studio Code, Visual Studio, GitHub.com, and GitHub Mobile for both iOS and Android.
According to GitHub's early testing, Gemini 3.1 Pro demonstrates particularly strong performance in edit-then-test workflows, showing high tool precision and achieving strong resolution success with fewer tool calls per benchmark compared to other models. This efficiency could translate to faster development cycles and reduced latency for developers working on complex coding tasks. The model is available across all Copilot modes including chat, ask, edit, and agent functionalities.
The rollout is gradual, with availability expanding over time to all eligible users. Enterprise and Business plan administrators must explicitly enable the Gemini 3.1 Pro policy in Copilot settings before their teams can access the model. This integration continues GitHub's strategy of offering developers multiple AI model options within Copilot, following recent additions of Claude Opus 4.6 and Claude Sonnet 4.6 to the platform.
- Enterprise and Business administrators must enable the Gemini 3.1 Pro policy in settings before teams can use it
- The integration expands GitHub Copilot's multi-model strategy, giving developers more AI options for different coding tasks
Editorial Opinion
This integration represents a meaningful step forward in GitHub's multi-model approach to AI-assisted development. By adding Google's specialized agentic coding model alongside existing options from Anthropic and others, GitHub is acknowledging that no single model excels at all coding tasks. The emphasis on tool precision and efficiency in edit-then-test loops suggests Gemini 3.1 Pro may be particularly well-suited for iterative development workflows, potentially making it a preferred choice for certain types of coding tasks where rapid iteration is critical.
