Continue vs GitHub Copilot | A Thorough Comparison to Help You Choose [2026 Edition]
機械翻訳 / Machine-translated

機械翻訳 / Machine-translated
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Having AI help you write code is incredibly convenient. Continue and GitHub Copilot are both popular AI coding assistants (AI tools that help with programming). Still, many people aren't sure which one to choose. In this article, we'll compare the two tools in detail to help you figure out which one is right for you.
Continue is an open-source AI assistant (a framework that anyone can use for free) that works inside popular code editors such as VSCode and JetBrains. As of 2026, it has been installed more than 2.5 million times and has accumulated over 32,000 stars on GitHub. One of its biggest distinguishing features is the ability to choose from more than 20 AI models — including Claude, GPT, and Gemini — whichever you prefer. It also supports local models that run entirely on your own computer, making it a safe choice for anyone who doesn't want their code sent to external servers.
GitHub Copilot, on the other hand, is an AI coding assistant provided by GitHub, and it features very deep integration with VSCode and GitHub. It uses the latest AI models such as GPT-5 mini, Claude Opus 4.6, and Haiku 4.5, and connects seamlessly with GitHub's code management features. Its enterprise-grade data governance capabilities (mechanisms for protecting the security of your code) are extensive, making it a solution that even large organizations can adopt with confidence.
The table below summarizes the main features of Continue and GitHub Copilot. Both tools offer basic code completion and chat functionality, but they differ in the details.
| Feature | Continue | GitHub Copilot |
|---|---|---|
| Automatic code completion | ◎ | ◎ |
| Chat for code consultation | ◎ | ◎ |
| Inline editing | ◎ | ◎ (Copilot Edits) |
| Multi-file editing | ○ | △ (improving) |
| AI model selection | ◎ (20+ models) | △ (limited options) |
| Local model support | ◎ | ✕ |
| Bring your own API key | ◎ | ✕ |
| GitHub integration | ○ | ◎ |
| VSCode support | ◎ | ◎ |
| JetBrains support | ◎ | ◎ |
| Automatic pull request review | ◎ (new in 2026) | ○ |
Continue's greatest strength is the flexibility to freely choose your AI model. Support for local models — which run entirely on your own machine — is a particularly important point for anyone working with confidential company information. GitHub Copilot's appeal lies in its deep GitHub integration, allowing you to leverage AI smoothly within your existing code management workflow.
In terms of pricing, there are significant differences between Continue and GitHub Copilot. Continue offers a free plan that lets you try out all the features, which is one of its standout characteristics. Paid plans start at $10 per month, with team and enterprise plans also available. Because it is open-source, technically inclined users can also customize and self-host it.
GitHub Copilot is available only as a paid plan at $19 per month — there is no free tier. Additionally, a GitHub Team subscription ($4 per month) is required, bringing the effective cost to $23 per month. That said, companies already using GitHub Enterprise often have Copilot included, so it may be provided by your organization at no additional cost. Continue is better suited for individual developers looking to minimize upfront costs, while GitHub Copilot is better suited for enterprises seeking stable service at a predictable cost.
Continue excels in scenarios where privacy matters or where you want the freedom to choose your AI model. For example, in fields that handle confidential information — such as finance or healthcare — Continue is a reassuring choice because it can process code locally without sending it to external servers. It is also a great fit for researchers who want to try the latest AI models right away, and for individual developers who want to manage costs by switching between multiple models. The automatic pull request review feature added in 2026 helps streamline code review (the process of checking code quality).
GitHub Copilot excels in development workflows centered around GitHub. If your team is already managing code on GitHub, you can simply add Copilot and immediately harness the power of AI. Its extensive enterprise data governance features (mechanisms for controlling who can access which data) mean it can be adopted safely even by large corporations or in heavily regulated industries. It also officially supports JetBrains IDEs (programming environments), making it convenient for users of IntelliJ or PyCharm.
Using each tool in practice, Continue's high degree of configurability means the initial setup takes a bit of time. You have many decisions to make yourself — which AI model to use, how to configure your API key (the credential needed to use an AI service), and so on. Once set up, however, being able to code in an environment tailored exactly to your preferences is a major draw. Code completion is fast, and editing across multiple files is smooth. The chat feature is also easy to use, letting you ask for explanations of code or consult on how to fix bugs.
GitHub Copilot's appeal is how quickly you can get started — just install it, log in, and you're ready to go. Its deep integration with VSCode means AI suggestions appear naturally as part of your usual coding workflow. Its integration with GitHub Issues (bug/feature reports) and pull requests (code change proposals) makes it well-suited for team development. However, while multi-file editing has been improved through a feature called Copilot Edits, it still requires more manual intervention in some areas compared to other tools.
Continue is the right choice for individual developers who want to keep costs low, companies that prioritize privacy, and anyone who wants the freedom to try the latest AI models. You can start for free and use local models, so it's a safe option even for work that involves confidential information. Being open-source also means a high degree of freedom to customize. It suits people who are technically savvy and don't mind adjusting settings themselves.
GitHub Copilot is the right choice for teams already using GitHub, enterprises that need enterprise-grade support, and beginners who want to get started without hassle. The monthly fee is on the higher side, but you can start using it immediately without any configuration, and its GitHub integration is seamless. If your company uses GitHub Enterprise, you may be able to use it at no additional cost. It is ideal for those who want stable service and predictable costs.
If you're unsure, we recommend trying Continue's free plan first. Confirm whether it fits your development style, and then consider GitHub Copilot as well if needed. Both are excellent tools, so choose the one that matches your working style and budget.
This article is a cross-post from AI Friends.