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OpenAI GPT-4.1 now available in public preview for GitHub Copilot and GitHub Models

GPT-4.1 release in GitHub Copilot and GitHub Models

OpenAI’s latest model, GPT-4.1, is now available in GitHub Copilot and GitHub Models, bringing OpenAI’s newest model to your coding workflow. This model outperforms GPT-4o across the board, with major gains in coding, instruction following, and long-context understanding. It has a larger context window and features a refreshed knowledge cutoff of June 2024.

OAI has optimized GPT-4.1 for real-world use based on direct developer feedback about: frontend coding, making fewer extraneous edits, following formats reliably, adhering to response structure and ordering, consistent tool usage, and more. This model is a strong default choice for common development tasks that benefit from speed, responsiveness, and general-purpose reasoning.

Copilot

OpenAI GPT-4.1 is rolling out for all Copilot Plans, including Copilot Free. You can access it through the model picker in Visual Studio Code and on github.com chat. To accelerate your workflow, whether you’re debugging, refactoring, modernizing, testing, or just getting started, select “GPT-4.1 (Preview)” to begin using it.

Enabling access

Copilot Enterprise administrators will need to enable access to GPT-4.1 through a new policy in Copilot settings. As an administrator, you can verify availability by checking your individual Copilot settings and confirming the policy for GPT-4.1 is set to enabled. Once enabled, users will see GPT-4.1 in the Copilot Chat model selector in VS Code and on github.com.

To learn more about the models available in Copilot, see our documentation on models and get started with Copilot today.

GitHub Models

GitHub Models users can harness the power of GPT-4.1 to enhance their AI applications and projects later today. In the GitHub Models playground, you can experiment with sample prompts, refine your ideas, and iterate as you build. You can also try it alongside other models including those from Cohere, DeepSeek, Meta, and Microsoft.

To learn more about GitHub Models, check out the GitHub Models documentation.

Share your feedback

Join the Community discussion to share feedback and tips.

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VSCode Copilot agent mode in Codespaces

GitHub Codespaces has introduced a new Agentic AI feature—you can now open a Codespace running VSCode’s Copilot agent mode, directly from a GitHub issue. With a single click, you can go from issue to implementation!

When you’re in a GitHub issue, the right-hand side of the view now displays a Code with Copilot Agent Mode button in the Development section. Clicking this button initializes a new Codespace, opens the Codespace in a new tab, and enables VSCode’s Copilot agent mode, using the issue body as context. Copilot will then get to work on the issue, thoroughly analyzing the codebase and considering dependencies to suggest appropriate file changes. You can then work with Copilot to fine tune your code and make modifications as required.

VSCode Agent Mode in Codespaces is in public preview, and we’ll be iterating on the experience over the upcoming months. Stay tuned for updates!

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Copilot Chat users can use the Gemini 2.5 Pro model in public preview

Gemini 2.5 Pro is now available to all GitHub Copilot customers. The latest Gemini model from Google is their most advanced model for complex tasks. It shows strong reasoning and code capabilities. It also leads on common coding, math, and science benchmarks.

Google Gemini 2.5 Pro announcement

Get started today!

Copilot Pro/Pro+ users

You can start using the new Gemini 2.5 Pro model today through the model selectors in Copilot Chat in VS Code and immersive chat on github.com.

Copilot Business or Enterprise users

Copilot Business and Enterprise organization administrators will need to grant access to Gemini 2.5 Pro in Copilot through a new policy in Copilot settings. Once enabled, users will see the model selector in VS Code and chat on github.com. You can confirm the model’s availability by checking individual Copilot settings and confirming the policy for Gemini 2.5 Pro is set to enabled.

Share your feedback

Join the Community discussion to share feedback and tips.

For additional information, check out the docs on Gemini 2.5 Pro in Copilot.

Learn more about the models available in Copilot in our documentation on models and get started with Copilot today.

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Copilot Chat now supports pasting GitHub URLs as explicit references

An illustration of a GitHub issue link with a purple and blue background. A URL is displayed in a browser bar at the top, with a dark notification box shows below it, all next to the Copilot logo.

Issues, discussions, and pull requests – these are all important pieces of context when building in GitHub. Now, you can reference these within Copilot Chat. Simply paste a link into the chat and Copilot will do the rest!

How it helps you

  • 📂 Multi-repository support: want to compare a pull request from one project with a discussion from another? No problem!
  • 🏷️ Intuitive navigation: maybe you pasted a link, got up to make a coffee, and forgot what you were doing. With chips in the chat context, you don’t need to worry – it will always be clear what you’ve added.
  • ⌨️ Context-building at your fingertips: let Copilot support you and integrate your work by focusing on the specific problems you want to address.

We like to think that GitHub files and Copilot are both great, and they’re even better when they come together. The power of Copilot and the fountain of knowledge in your repositories will collectively help you do amazing things. We know it.

💬 Let us know what you think using the in-product feedback option or pop it into the GitHub Community at any time.

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Reload responses with other Copilot models on github.com

Image of Copilot next to a model selection menu

The immersive mode of Copilot Chat now gives you more choices when reloading your responses.

What’s new?

You can now easily regenerate Copilot responses using a different model. Simply click the retry button underneath Copilot’s response. Copilot will process the same prompt by your chosen model while maintaining all previous conversation context. You can also view previous responses and compare model output.

How it helps you

  • 🧩 Stuck on a complex problem? Switch to a more powerful model for deeper reasoning.
  • ⚡ Need a quick response? Reload with a faster model when speed matters.
  • 💻 Working with code? Switch to a model optimized for programming.
  • 🎨 Fine-tuning creative work? Try different models to explore alternative approaches.

This feature is perfect for when you need a different perspective or more specialized capabilities. Seamlessly blend the strengths of various models into a single conversation. Enjoy more intelligence, more flexibility, and more control – all while staying in the flow.

💬 Let us know what you think using the in-product feedback option or pop it into the GitHub Community at any time.

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Security campaigns are now generally available to help address security debt at scale

Security campaigns are now generally available

Security campaigns with Copilot Autofix are now generally available. As part of GitHub Code Security, you can use security campaigns to prioritize and rapidly reduce your backlog of application security debt. Copilot Autofix generates contextual explanations and fixes for historical code scanning alerts in a security campaign, which help developers and security teams collaborate to fix vulnerabilities with speed and confidence.

With the help of GitHub’s CodeQL and Copilot Autofix, it has never been easier to prevent new vulnerabilities from being added to your code. However, if you don’t address vulnerabilities discovered in already-merged code, security debt can build up and pose a serious risk to deployed applications.

A security campaign on GitHub can contain a large number of code scanning alerts, prioritized by your security team to be fixed within a chosen timeframe. When a campaign is created, Copilot Autofix automatically suggests fixes, and developers who are most familiar with the code are notified. From there, they can review the fixes, open pull requests, and remediate security debt. Security teams can monitor the progress of the campaign and track the number of fixed alerts. Using security campaigns, security and developer teams work together with Copilot Autofix to remove security debt in targeted efforts aimed at maximizing impact by focusing on the alerts that matter.

Starting today, you can also access these new features to plan and manage security campaigns more effectively:

  • Draft security campaigns: Security managers can now iterate on the scope of campaigns and save them as draft campaigns before making them available to developers. With draft campaigns, security managers can ensure that the highest priority alerts are included before the work goes live.
  • Automated GitHub issues: Security managers can optionally create GitHub issues in repositories that have alerts included in the campaign. These issues are created and automatically updated as the campaign progresses and can be used by teams to track, manage, and discuss campaign-related work.
  • Organization-level security campaign statistics: Security managers can now view aggregated statistics showing the progress across all currently-active and past campaigns.

Security campaigns are available for users of GitHub Code Security on GitHub Enterprise Cloud. For more information about security campaigns, see About security campaigns in the GitHub documentation.

If you have any feedback on security campaigns, join the discussion in GitHub Community.

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Copilot code review now generally available

Copilot code review is now generally available!

Code review is one of the most critical parts of software development, but manual code reviews can be time-consuming. Copilot code review helps you offload basic reviews to a Copilot agent that finds bugs, potential performance problems, and even suggests fixes. This means you can start iterating on your code while waiting for a human review, helping you keep your code repositories more maintainable and focused on quality.

In just over a month since we launched the public preview, over 1 million developers have already used Copilot code review, and the response has been incredible.

Check it out in action, in both Visual Studio Code and GitHub:

To request a code review from Copilot, you can set up automatic reviews in a repo through repository rules. Or, you could ask Copilot to review a pull request on demand.

Copilot code review is available to all paid Copilot subscribers. Organizations and enterprises can enable it through the Copilot in github.com policy.

What’s next

We’re continuously improving Copilot code review. Today we’ve added support for C, C++, Kotlin, and Swift in public preview and we’ll add support for HTML and txt early next week.

To learn more, check out our code review docs. We can’t wait for you to try out these improvements, and we’d love your feedback in this GitHub Community discussion!

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Announcing GitHub Copilot Pro+

Today, we’re introducing GitHub Copilot Pro+, a new individual tier for developers who want to take their coding experience to the next level.

Enjoy all the features you love from GitHub Copilot Pro along with exclusive access to the latest models (GPT-4.5 is available today), priority access to previews, and 1500 premium requests per month when they go live on May 5th. This is in addition to the unlimited requests for agent mode, context-driven chat, and code completions that all paid plans have when using our base model.

To get started, purchase GitHub Copilot Pro+ today and don’t miss out on the other Copilot updates shared in our announcement blog.

Stay tuned for updates as we work to continuously enhance your developer experience. Also, please share any feedback in GitHub Community.

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Multiple new models are now generally available in GitHub Copilot

Anthropic Claude 3.7 Sonnet, Claude 3.5 Sonnet, OpenAI o3-mini, and Google Gemini Flash 2.0 are now generally available in GitHub Copilot. With this change, these models are promoted from preview release terms to generally available release terms. This extends indemnification for IP infringement to code generated using these models in Copilot Chat and agent mode.

Copilot hero image

  • Claude 3.7 Sonnet, Anthropic’s most advanced model to date, excels in development tasks that require structured reasoning across large or complex codebases.
  • Claude 3.5 Sonnet remains a good choice for everyday coding support.
  • OpenAI o3-mini is a fast, cost-effective reasoning model designed to deliver coding performance while maintaining lower latency and resource usage.
  • Gemini 2.0 Flash is Google’s model optimized for fast responses and multimodal interactions.

Learn more about the models available in Copilot in our documentation and get started with Copilot today.

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github-mcp-server is now available in public preview

The official open source GitHub MCP Server

Today we’re releasing a new open source, official, local GitHub MCP Server. We’ve worked with Anthropic to rewrite their reference server in Go and improve its usability. The new server contains 100% of the old server’s functionality plus the ability to customize tool descriptions, support for code scanning and a new get_me function that improves the natural language user experience when asking the LLM things like: “Show me my private repos.”

To get started, visit the repository and learn how to set up the GitHub MCP Server, which is now supported natively in VS Code.

Model Context Protocol (MCP) is an AI tool calling standard that has been rapidly gaining adoption over the past few months. MCP tools give LLMs a standardized way to call functions, look up data, and interact with the world. Anthropic created the protocol and built the first GitHub MCP server, which grew to be one of the most popular MCP servers in the expanding ecosystem. We are excited to take ownership of the server and continue its development.

Join the discussion within GitHub Community.

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GitHub Copilot in VS Code March release (v1.99)

The latest updates to GitHub Copilot in the March 2025 release of Visual Studio Code (v1.99) include upgrades to agent mode, such as the addition of MCP support, enabling the use of models through API keys, and more. Read on for more release highlights.

Agent mode is now available in VS Code stable

  • Rolls out to users starting today and continuing through the coming weeks. Make sure you’re on the latest VS Code version. Can’t wait? Update to the latest of version of VS Code and manually enable agent mode.
  • Includes Model Context Protocol (MCP) server support to let you choose from hundreds of specialized tools for your agent flow.
  • Equipped with new built-in tools, such as for fetching web content and finding symbol references.

UX improvements help you work faster and stay focused

Limitless model choice

And that’s not all. Check out the VS Code March 2025 release notes for the full scoop. Happy coding!

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Copilot Chat on github.com adds support for images

Image showing a command to convert an architecture diagram photo into a Markdown file

The immersive mode of Copilot Chat on GitHub now supports image upload and analysis when using 4o, adding powerful multimodal capabilities to your development workflow. This feature was previously exclusively available on VS Code and Visual Studio.

✨ What’s new?

  • 🔗 Image upload & analysis: Upload, paste, or drag images directly into Copilot conversations.
  • 🧠 Visual context understanding: Ask questions about code screenshots, UI designs, system diagrams, and more.
  • ⚡ Image to code: Generate HTML files based on images and preview them in the side panel.

With so much of the software development lifecycle happening through images, diagrams, and other visual artifacts, we hope this release brings you closer to communicating and collaborating with Copilot in ways that mirror how you naturally think and work.

💬 Let us know what you think using the in-product feedback option or pop into the GitHub Community at any time.

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GPT-4o Copilot: Your new code completion model is now generally available

Header introducing GPT-4o Copilot model

What’s changing

The GPT-4o Copilot model released in preview last month and updated this month now provides code completions for all Copilot users. This model delivers higher quality suggestions and improved latency.

Getting ready

No additional action is required if you’re on the latest version of the GitHub Copilot extension for VS Code, Visual Studio, or JetBrains. If you’re on an older version of the GitHub Copilot extension, the model will roll out to you in the coming days. Updating your extension will ensure quicker access.

Retirement of GPT-3.5 Turbo based model

Over the coming days, your code completion experience will switch to GPT-4o Copilot. The GPT-3.5 Turbo based copilot-codex model, which was the previous model, will no longer be available.

Your feedback

Thank you to the tens of thousands of developers who used this new model in preview. Please continue to share your feedback directly and in the GitHub Community!

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Enhance your productivity with Copilot Edits in JetBrains IDEs

Enhance Your Productivity with Copilot Edits in JetBrains IDEs

Copilot Edits support is now released in JetBrains IDEs! This update allows you to quickly refactor, optimize, and iterate more efficiently across multiple files.

What’s new ✨

Use Copilot Edits to smoothly make changes in one or multiple files directly from Copilot Chat. To use Copilot Edits, click the Copilot Chat icon in the JetBrains IDE and start a new Edit session.

Benefits for developers ⚡️

  • Enhanced clarity: Obtain a clear overview of the modifications with a summary of the affected files and the proposed changes.
  • Ability to preview changes: View code diffs directly in your editor and decide whether to accept or discard these changes individually or collectively.
  • Boosted productivity: Save time and effort with the help of Copilot Edits, enabling you to focus on more complex tasks.

Get involved 🛠

We encourage you to try out the latest version of the GitHub Copilot plugin and share your feedback. Your input is invaluable in helping us refine and improve the product.

Join the discussion 🚀

Connect with us and other developers in the GitHub Community to share your experiences, ask questions, and provide feedback.

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Instant previews, flexible editing, and working with issues in Copilot available in public preview

A dark-themed code editor interface displaying a preview of a 'Planetary Travel Time' calculator. The interface includes a rocket icon, a title, and a description prompting users to select a planet and a NASA spacecraft to calculate travel time from Earth. Dropdown menus show 'Mars' as the selected planet and 'Voyager 1' as the selected spacecraft. A floating 3D GitHub Copilot assistant with a glowing, futuristic helmet is visible in the bottom-right corner.

Inspired by our previous release, working with Copilot Chat on GitHub has become even more seamless. You can instantly preview HTML files, edit files you’ve created, and work on issues right away. Several exciting new capabilities give you more control and flexibility.

What’s new

  • Preview your rendered HTML files directly in the side panel
  • Edit files in the side panel to seamlessly refine and adjust them
  • Generate and preview Mermaid diagrams for fast visualizations, whether they’re flowcharts or sequence diagrams
  • Keep tabs on your issues in the same right side panel, ensuring you can tackle open tasks while discussing them
  • Track issues or pull requests in responses that are rendered in a familiar GitHub style, making working with them easier

In addition, you can enjoy a smoother streaming experience and enhanced rendering of attachments.

Try it out

See the updated experience in action by submitting any of the following example prompts:

Join us as we continue to streamline Copilot Chat, giving you instant previews, flexible editing, and more power right where you need it! Your feedback drives our improvements. Let us know how these new changes enhance your workflow by using the in-product feedback option or sharing your thoughts in the GitHub Community.

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