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    1. Home
    2. Tools
    3. Compare

    Compare Cursor vs GitHub Copilot vs Google Antigravity

    Evaluate tools side-by-side and decide faster.
    Attribute
    Cursor
    GitHub Copilot
    Google Antigravity
    Community Score5/1000/1005/100
    Pricing✓ Hobby✓ Free✓ Public preview
    —✓ Free Trial (30 days)—
    Pro$16/moIndividual$10/mo—
    Teams$32/moBusiness$19/mo—
    Pro+$60/moPopular——
    Ultra$200/mo——
    EnterpriseContact Sales——
    View pricing →View pricing →View pricing →
    PlatformWINDOWS, MACOS, LINUXVSC_EXTENSION, JETBRAINS_PLUGIN, WebWINDOWS, MACOS, LINUX, Web
    API / SDKN/ASDKN/A
    Docs / Source
    Docs
    Docs
    Docs
    DeveloperCursor, Inc.GitHubGoogle Cloud
    Features
    • AI-powered code completion and generation
    • Context-aware code suggestions and corrections
    • Natural language code editing and transformation
    • Codebase exploration and comprehension assistance
    • Built-in AI chat for code-related questions
    • Automatic documentation generation
    • Real-time code suggestions and completions
    • Support for multiple programming languages and frameworks
    • Conversational AI assistance through Copilot Chat
    • Context-aware code generation from comments
    • Pull request review automation
    • Code explanation and documentation assistance
    • AI-powered IDE with Tab and Command
    • Asynchronous local agents running across workspaces
    • Agent Manager for planning, orchestration, and artifact review
    • Browser agent capable of actuating the browser and performing SCM/UI tasks
    • Multi-window Editor, Manager, and Browser surfaces
    • Artifacts for verification: markdown, diffs, diagrams, recordings
    Integrations
    • GitHub
    • GitLab
    • VS Code extensions (partial compatibility)
    • Language servers
    • Terminal and command palette
    • Visual Studio Code
    • Visual Studio
    • JetBrains IDEs
    • Neovim
    • Xcode
    • GitHub CLI
    • Editor
    • Terminal
    • Browser
    • SCM (source control management)
    • Workspaces
    Use Case Fit
    • Code context understanding
    • Multi-language code generation
    • Natural language to code translation
    • Code pattern recognition
    • Code context understanding
    • Multi-language code generation
    • Natural language to code translation
    • Code pattern recognition
    • agentic development
    • asynchronous multi-agent orchestration
    • browser actuation
    • artifact generation and verification
    System Requirements
    • Windows 10+
    • macOS 11+
    • Ubuntu 20.04+
    • WINDOWS
    • MACOS
    • LINUX (via supported editors)
    • macOS: macOS versions with Apple security update support (Min Version 12 Monterey; x86 not supported)
    • Windows 10 (64 bit)
    • Linux: glibc >= 2.28, glibcxx >= 3.4.25 (e.g. Ubuntu 20, Debian 10, Fedora 36, RHEL 8)
    Data refreshedFeb 2, 2026Feb 2, 2026Feb 2, 2026
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