Cursor vs GitHub Copilot: editor, agent and pricing compared

Cursor is an AI code editor built on VS Code, and GitHub Copilot is an AI assistant that plugs into the editor you already use, your terminal and GitHub. Pick Copilot if your team works across several IDEs or needs OpenAI's GPT-6 models; pick Cursor if you'll standardize on one AI-first editor and want cloud agents that work beyond GitHub and across several repositories at once.

As of October 13, 2026, Copilot Pro costs $10 a month and a Copilot Business seat $19 a month. Cursor sells individual and team plans; see cursor.com/pricing for current prices. Both tools charge for usage beyond what a plan includes.

For more editors and agents side by side, including how their models rank on Bug Bench, see our guide to the best AI coding tools.

Cursor vs GitHub Copilot at a glance

Copilot prices from GitHub's Copilot plans page, as of October 13, 2026.

What each tool is

Cursor

Cursor is a desktop editor for macOS, Windows and Linux, "based upon the VS Code codebase". A one-click import brings over your VS Code extensions, themes, settings and keybindings, though extensions come from the Open VSX registry, where not every VS Code extension is listed. The Agents Window, generally available since Cursor 3 on April 2, 2026, is an agent-first view next to the editor for running agents in parallel, locally or in the cloud.

GitHub Copilot

GitHub Copilot is, in GitHub's words, "an AI assistant that helps you write, understand, and ship software." It installs as an extension or plugin in VS Code, Visual Studio, JetBrains IDEs, Eclipse, Xcode and Neovim, the editors on GitHub's feature matrix. Outside the IDE there's Copilot CLI for the terminal, the GitHub Copilot app for managing agent sessions across repositories, and Copilot on GitHub.com, where you can assign an issue to the cloud agent.

Completions

Cursor's Tab suggests code from your recent edits, the surrounding code and linter errors. It can change several lines at once, add a missing import, suggest matching edits in other files, and jump to where you're likely to edit next. Tab works in Cursor's own editor.

Copilot has inline suggestions plus next edit suggestions, which predict where your next change will be and what it is, such as updating another place a renamed method is used. Next edit suggestions are fully supported in VS Code and Visual Studio and in preview in JetBrains IDEs, Eclipse and Xcode, while Copilot's completions work in every IDE on GitHub's list, Neovim included. Completions don't use AI credits. They're unlimited on paid plans, and Copilot Free caps them at 2,000 a month.

Chat and agents in the editor

Cursor's Agent opens in a side panel (Cmd+I), searches your codebase and the web, edits files and runs terminal commands. Shift+Tab switches to read-only Ask mode or to Plan Mode, which asks clarifying questions and writes an editable plan before any code changes. Cmd+K edits selected code inline. The agent CLI has the same modes, plus agent -p for scripts and CI.

Copilot Chat and agent mode work in every IDE on GitHub's list except Neovim. GitHub says the agent can "inspect your project, edit multiple files, run terminal commands, and respond to errors," and it makes its changes in your local environment. Copilot CLI does the same from the terminal: copilot starts a session, Shift+Tab switches to plan mode, and copilot -p runs one prompt and exits. Both agents can also use MCP servers.

Cloud agents

Cursor's cloud agents run in isolated VMs with full development environments, as many in parallel as you like, and can build, test and use a desktop and browser to try what they changed. They clone from GitHub (including Enterprise Server), GitLab (including self-hosted), Bitbucket Cloud or Azure DevOps Services, and one agent can change several repositories and open a pull request in each. You can start one from the desktop or iOS app, the web, Slack, Linear, the API or an @cursor comment on a GitHub pull request or issue. They need a paid plan, bill at the selected model's API price, and ask you to set a spend limit the first time.

Copilot's cloud agent researches, plans and makes changes in the background, running tests and linters in an ephemeral environment powered by GitHub Actions. You configure that environment in .github/workflows/copilot-setup-steps.yml, on Ubuntu by default or on Windows, larger runners or self-hosted runners. You start it from the agents panel, a chat, or an issue or pull request on GitHub.com, or from Slack, Microsoft Teams, Linear, Jira or Azure Boards.

The cloud agent is on every plan except Copilot Free and spends AI credits. Each task gets one repository, one branch and one pull request, a session runs for at most 59 minutes, and the repository must be hosted on GitHub. If any of your repositories sit on GitLab, Bitbucket Cloud or Azure DevOps Services, or a task spans more than one repo, Cursor's cloud agents can take it and Copilot's can't.

Models

GitHub's supported models for Copilot run from OpenAI's GPT-5 mini to GPT-6.1 Sol, and include Anthropic's Claude Haiku, Sonnet, Opus and Fable models, Google's Gemini 3.7 Flash and 3.8 Flash, xAI's Grok 4.5, 4.6 and 4.7, Moonshot AI's Kimi K3 and Microsoft's MAI-Code-1.1-Flash. Free and Student use auto model selection only. Pro gets a selection of models, and Pro+, Max, Business and Enterprise add premium ones such as Claude Opus 5.5 and GPT-6.1 Sol.

Cursor's models page lists models from OpenAI, Anthropic, Google and others, plus Cursor's own Composer 2.5 and Grok 4.7, 4.6 and 4.5, which Cursor trained jointly with SpaceXAI. Its newest OpenAI models are GPT-5.6 Sol, Terra and Luna, and it lists no GPT-6 models. It still offers Gemini 3.1 Pro, which GitHub retired from Copilot on September 1, 2026. On Teams and Enterprise, Auto can use Cursor Router to pick a model for each request.

Use Copilot for GPT-6 models and Cursor for Gemini 3.1 Pro or Composer. Claude, GPT-5.6 and Grok models are in both.

What Bug Bench shows about models in Cursor

Bug Bench ranks AI coding models by the bugs found in the code they write, and its Cursor page ranks the models used inside Cursor. A counted bug is a cubic code review finding on AI-written code that a developer upvoted or an AI coding agent addressed. The relative bug rate is counted bugs per AI-attributed line, divided by the rate across all AI-attributed lines in the ranking window, so 1.00 is average and lower is better.

Only two models are ranked inside Cursor, and both rates are above the all-model average. They're statistically tied, meaning their 95% confidence intervals overlap, so Bug Bench can't say which of the two had fewer counted bugs in Cursor. Across all coding agents, GPT-5.6 Sol ranks first of seven models at 0.65. Bug Bench is observational, not causal: teams choose their models, so a rate reflects the code each model was used for as well as the model.

Bug Bench publishes no Copilot data, so it can't tell you whether Cursor or Copilot writes fewer bugs, and these figures describe code written in Cursor only.

Codebase context and indexing

Cursor's agent finds code with Instant Grep, which "builds and queries its index on your machine." Cursor says it "does not upload file paths or code to build a search index, and it does not store embeddings of your codebase for search." A .cursorignore file, on top of .gitignore, blocks files from the agent, though terminal commands and MCP tools can still read them.

Copilot keeps a semantic code search index for repositories on GitHub. Copilot Chat uses it on GitHub and in VS Code, and so does the cloud agent. GitHub says Copilot "will not use your indexed repository for model training." Copilot in VS Code can also index repositories hosted elsewhere, but that uploads the data to GitHub and is off by default.

On Business and Enterprise, repository admins and organization or enterprise owners can set content exclusion to keep files away from Copilot. GitHub says it isn't supported in the Edit and Agent modes of Copilot Chat in VS Code and other editors, so don't count on it to keep secrets from an agent.

Cursor rules vs Copilot custom instructions

Cursor rules live in .cursor/rules/ as .mdc files whose frontmatter decides when each one applies: always, when the agent judges it relevant from its description, when files match a glob, or when you @-mention it. On Teams and Enterprise, admins can enforce Team Rules from the dashboard, and those take precedence over project and user rules. Rules don't apply to Tab.

Copilot custom instructions start with .github/copilot-instructions.md for the whole repository, and path-specific files in .github/instructions/ set an applyTo glob. Organization instructions, set by owners on Business or Enterprise, apply to chat and the cloud agent on GitHub.com.

A rule for API handlers in Cursor, saved as .cursor/rules/api.mdc:

The same rule in Copilot, saved as .github/instructions/api.instructions.md:

AGENTS.md works in both. Cursor combines nested AGENTS.md files with their parents, and the more specific one wins. In Copilot, the nearest AGENTS.md in the directory tree takes precedence, and CLAUDE.md or GEMINI.md also work, though not every Copilot feature reads them. A team using both tools can keep shared conventions in AGENTS.md (see what to put in AGENTS.md) and file-scoped rules in each tool's own folder.

When those agents open pull requests, cubic reads AGENTS.md, copilot-instructions.md and the files in .cursor/rules/ as review context automatically. Our AI code review guide explains how that review step works.

Privacy and admin controls

GitHub doesn't use Copilot Business or Enterprise data to train AI models. Since April 24, 2026, GitHub may use interactions on Copilot Free, Pro, Pro+ and Max, including inputs, outputs and code snippets, to train AI models. You can opt out by setting "Allow GitHub to use my data for AI model training" to Disabled in your Copilot settings. Business and Enterprise add organization-wide policy management and content exclusion.

With Privacy Mode on, Cursor says your data isn't used for training by Cursor, and its zero data retention agreements mean model providers don't store or train on it. With it off, Cursor "may use and store codebase data, prompts, editor actions, code snippets, and other code data and actions to improve our AI features and train our models." Cursor's privacy help page says Privacy Mode is on by default for Enterprise teams, and Teams and Enterprise admins can enforce it.

Cloud agents are the one Cursor feature that stores code, as encrypted copies kept only while the agent runs. Teams adds SAML/OIDC SSO and usage analytics. Enterprise adds SCIM, repository, model and MCP access controls, audit logs and customer-managed encryption keys for cloud agent data.

Claude Fable 5 and 5.1 are an exception in both tools, because Anthropic retains their prompts and outputs for safety checks. Cursor requires admin approval before Enterprise and Privacy Mode users can use them, and GitHub notes the retention in its model hosting docs.

Pricing and plans

GitHub Copilot's plans and list prices as of October 13, 2026, from GitHub's Copilot plans page:

Copilot measures usage in GitHub AI Credits at $0.01 each. Chat, Copilot CLI, the cloud agent, Spaces, Spark and third-party agents spend credits by model and tokens used. Paid individual plans add a "flex allotment" to their base credits, which GitHub says is "designed to adapt as the economics of AI evolve." On Business and Enterprise, seats share one pool, and additional usage is enabled by default for organizations until an admin turns it off.

Cursor sells individual and team plans, listed on cursor.com/pricing. It bills third-party models such as Claude, GPT and Gemini at their API list price, and its models and pricing docs explain how usage is counted.

Which one fits your team

If your team works in JetBrains IDEs, Visual Studio, Eclipse or Xcode, Copilot is the simpler fit, since it installs in each one and has agent mode in all four. Cursor's agent reaches JetBrains IDEs through the Agent Client Protocol and Xcode projects through Xcode's built-in MCP server, on a paid plan.

If your team will standardize on one VS Code-based editor, Cursor keeps Tab, the agent, the Agents Window and cloud agents in one app, and the import brings your VS Code setup along.

On GitHub Enterprise Server, check before you buy. GitHub's plans page says Copilot isn't currently available for it, and Cursor's cloud agents can connect to it.

If you're also weighing the model labs' own agents, see Cursor vs Claude Code and Cursor vs Codex.

FAQ

Can you use GitHub Copilot in Cursor?

Not officially. GitHub's install guide covers VS Code, Visual Studio, JetBrains IDEs, Vim/Neovim, Xcode, Eclipse and Azure Data Studio, not Cursor. Open VSX, the registry Cursor installs extensions from, didn't list GitHub's own Copilot extensions on October 12, 2026. Copilot CLI is the practical route, since GitHub says it can run in an IDE's integrated terminal.

Is Cursor worth it over Copilot?

It depends on how much agent work you do and which models you need. Copilot Pro's 1,500 AI credits come to $15 of usage, and Claude Opus 5 and GPT-5.6 Sol, the two models Bug Bench ranks inside Cursor, need Copilot Pro+ ($39 a month), Max, Business or Enterprise. Cursor bills those models at their API list price; compare its current plans on cursor.com/pricing.

Is there a free version of Cursor or GitHub Copilot?

Yes, both have one. Cursor has a free tier with limited agent requests. Copilot Free includes agent mode and Copilot CLI with auto model selection, and Copilot Student is free for verified students. Verified teachers and maintainers of popular open source projects may get Copilot Pro free.

Can you use Cursor or Copilot in JetBrains IDEs?

Yes. Cursor's agent runs in IntelliJ IDEA, PyCharm, WebStorm and other JetBrains IDEs through ACP. It needs a paid plan and the AI Assistant plugin (2025.1 or later), and you add Cursor from the ACP registry in the AI Chat panel, as Cursor's JetBrains docs describe. For Copilot, you can use its own plugin, Copilot inside JetBrains AI Assistant, or Copilot CLI in the integrated terminal, and GitHub recommends the plugin when you want code suggestions and the full set of IDE features.