‎Digi Prabhu App

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.

Copilot in your editor does it all, from explaining concepts and completing code, to proposing edits and validating files with agent mode. Copilot works where you do—in GitHub, your IDE, project tools, chat apps, and custom MCP servers. Your AI accelerator for every workflow, from the editor to the enterprise.

How do I control access to GitHub Copilot in my company?

• This table lists the supported AI models for Auto model selection.
• It has been trained on natural language text and source code from publicly available sources, including code in public repositories on GitHub.
• It also  adds an additional layer of customization for organizations and integrates into GitHub.com as a chat interface to allow developers to converse with Copilot  throughout the platform.
• The multiplier for these models are subject to change.
• See Usage-based billing for organizations and enterprises and Usage-based billing for individuals.

Starting June 1, 2026, GitHub is moving Copilot from request-based prabhu365-nepal.com/ne 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)。

Does GitHub Copilot produce offensive outputs?

Given public sources are predominantly in English, GitHub Copilot will likely work less well in scenarios where natural language prompts provided by the developer are not in English and/or are grammatically incorrect. Please feel free to share your feedback on GitHub Copilot accessibility in our feedback forum. Of course, you should always use GitHub Copilot together with good testing and code review practices and security tools, as well as your own judgment. Additionally, in recent years we’ve provided tools such as GitHub Advanced Security, GitHub Actions, Dependabot, and CodeQL to open source projects to help improve code quality.

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.

This feature searches across public GitHub repositories for code that matches a Copilot suggestion. That is why responsible organizations and developers recommend that users employ code scanning policies to identify and evaluate potential matching code. These suggestions were typically synthesized and not tied to real individuals. Organizations can now enable Copilot code review on all pull requests on github.com—including pull requests from users who are not assigned a Copilot license. This allows us to build more intelligent, context-aware coding assistance for a more diverse set of coding tasks based on real-world development patterns.