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These actions are available https://prabhu365-nepal.com/ne to Copilot users as described in the GitHub Privacy Statement. While we’ve designed GitHub Copilot with privacy in mind, the expansive definition of personal data under legislation like the EU’s General Data Protection Regulation (GDPR) means we can’t guarantee it will never output such data. For details on GitHub’s data processing activities as a controller, particularly for Copilot Free, Copilot Pro, and Copilot Pro customers, refer to the GitHub Terms of Service and the GitHub Privacy Statement. These practices are outlined in GitHub’s Data Protection Agreement (DPA), which details our data handling commitments to our data controller customers. This capability is off by default and gives the enterprise admin control to enable or disable.

If you have allowed suggestions that match public code, GitHub Copilot can provide you with details about the matching code when you accept such suggestions. GitHub Copilot’s AI model was trained with the use of code from GitHub’s public repositories—which are publicly accessible and within the scope of permissible copyright use. The Copilot model requires access to previous interactions to deliver accurate and relevant suggestions. This training helps improve code suggestions for all Copilot users. They can control access to preview features, models, and set GitHub Copilot policies for your organization. GitHub Copilot Autofix provides contextual explanations and code suggestions to help developers fix vulnerabilities in code, and is included in GitHub Advanced Security.

Each model has a premium request multiplier, based on its complexity and resource usage. The multiplier for these models are subject to change. The following table shows which AI models are available in each Copilot plan.

If you’re using a model in a context that doesn’t support image input (like a code editor), you won’t see visual reasoning benefits. These models support multimodal input and are well suited for front-end work or visual debugging. Use these models when you want to ask questions about screenshots, diagrams, UI components, or other visual input. These models are designed for tasks that require step-by-step reasoning, complex decision-making, or high-context awareness.

• While we’ve designed GitHub Copilot with privacy in mind, the expansive definition of personal data under legislation like the EU’s General Data Protection Regulation (GDPR) means we can’t guarantee it will never output such data.
• These actions are available to Copilot users as described in the GitHub Privacy Statement.
• The developer has not yet indicated which accessibility features this app supports.
• This allows you to extend the quality and rich analysis of Copilot code review to all pull requests, regardless of its author, giving you complete coverage and confidence that pull requests have been reviewed.
• This guide helps you pick the best model based on your task, not just model names.

Compare available AI models in Copilot Chat and choose the best model for your task. Availability and rate limits may differ from generally available models. Evaluation models may be added, updated, or removed without notice. Testing of evaluation models has revealed that some may perform worse than other models on security-related or other categories of prompts. For more information about fallback and LTS models, see Base and long-term support (LTS) models.

Who is eligible to access GitHub Copilot for free?

Growing to millions of individual users and tens of thousands of business customers, GitHub Copilot is the world’s most widely adopted AI developer tool and the competitive advantage developers ask for by name. The developer has not yet indicated which accessibility features this app supports. Privacy practices may vary based, for example, on the features you use or your age. If you’re not sure which model to use, start with a general-purpose option like GPT-4.1, then adjust based on your needs.

How am I billed for Copilot code review usage from users without a Copilot license?

Starting June 1, 2026, GitHub is moving Copilot from request-based billing to usage-based billing. For Copilot Student, GPT-5.3-Codex is not available in the model picker, but remains available through auto model selection. This information is tentative and subject to change as model support rolls out. 该API Key用于转发API，需要将Host改为api.chatanywhere.tech(国内首选)或者api.chatanywhere.org(国外使用)。

Customers are encouraged to validate code, including code security, using a range of models and thorough human review before incorporating suggestions into production. In rare instances (less than 1% based on GitHub’s research), suggestions from GitHub may match examples of code used to train GitHub’s AI model. The Large Language Model (LLM) powering GitHub Copilot was trained on public code and there were instances in our tests where the tool made suggestions resembling personal data. GitHub Copilot Autofix provides contextual explanations and code suggestions to help developers fix vulnerabilities in code, and is included in GitHub Advanced Security and available to all public repositories. For faster, simpler tasks like repetitive edits or one-off code suggestions, see Fast help with simple or repetitive tasks. Yes, GitHub Copilot does include an optional code referencing filter to detect and suppress certain suggestions that match public code on GitHub.

Choosing the right model helps you get the most out of Copilot. If your task involves deep reasoning or large-scale refactoring, consider a model from Deep reasoning and debugging. They work well when you need structured analysis, thoughtful code generation, or multi-file understanding. If you’re working on complex refactoring, architectural decisions, or multi-step logic, consider a model from Deep reasoning and debugging. Use this table to find a suitable model quickly, see more detail in the sections below.