Last updated: 2026-02-14

Google Antigravity vs GitHub Copilot

Detailed comparison of features, performance, and use cases
91/100

Google Antigravity

Google's revolutionary AI-powered IDE that enables autonomous AI agents to handle complex coding tasks through an agent-first approach with dual interface views.
Agentic WorkflowsAI-Native DevelopmentMulti-Agent Orchestration

Quick Verdict

Google Antigravity excels at agentic workflows and ai-native development with a score of 91/100. Google Antigravity represents a paradigm shift in AI-assisted development, moving beyond code completion to full agentic automation.

92/100

GitHub Copilot

The pioneering AI pair programmer with the widest IDE support and deepest GitHub ecosystem integration, optimized for rapid inline code completion and suggestions.
Code CompletionSpeed & RepetitionIDE IntegrationGitHub Workflow Integration

Quick Verdict

GitHub Copilot excels at code completion and speed & repetition with a score of 92/100. GitHub Copilot pioneered AI-assisted coding and remains unbeatable for frictionless IDE integration with 82% enterprise adoption.

πŸ“Š Visual Score Comparison

Side-by-side comparison of key performance metrics across six evaluation criteria

Technical Specifications

Feature Google Antigravity GitHub Copilot
Core AI Model(s) Powered by Google's Gemini 3 Pro model as default, with support for Anthropic's Claude Sonnet 4.5 and OpenAI's GPT-OSS for flexible model selection. Powered by a variety of generative AI models from GitHub, OpenAI, and Microsoft. Specific models available depend on the user's plan, including Claude 3.5 Sonnet, GPT-4.1 (Free), Claude 3.7/4 Sonnet, Gemini 2.5 Pro (Pro), and Claude Opus 4, o3 (Pro+).
Context Window Supports large context windows through Gemini 3 Pro's advanced architecture, with multimodal processing of code, images, and design mocks. Context is derived from the code within your editor, focusing on the lines immediately surrounding your cursor, other open files in your workspace, and the URLs of relevant repositories or file paths to provide relevant suggestions.
Deployment Options Available as a downloadable desktop application for Windows, macOS, and Linux. Currently in public preview with enterprise features planned. Available as an extension for major IDEs including Visual Studio Code, Visual Studio, Neovim, Xcode, Eclipse, and the JetBrains suite. It also integrates with the GitHub CLI, GitHub Mobile, and directly into the GitHub.com interface for Enterprise users.
Offline Mode Limited offline capabilities; core agentic features require cloud connectivity for AI model inference and agent orchestration. No, GitHub Copilot requires a constant internet connection to function. It sends code snippets and context to GitHub's cloud servers for processing and cannot generate suggestions while offline.

Core Features Comparison

Google Antigravity Features

  • Agentic development with autonomous AI agents
  • Dual interface: Editor View and Manager View
  • Artifact transparency system for trust verification
  • Multimodal capabilities (code, images, design mocks)
  • Multi-model support (Gemini 3 Pro, Claude Sonnet 4.5, GPT-OSS)
  • Self-improvement mechanism learning from user feedback

GitHub Copilot Features

  • Real-time code suggestions and completions
  • Context-aware code generation
  • Support for dozens of programming languages
  • Integration with popular IDEs and editors
  • Agent mode for iterative development
  • Coding agent for async PR generation

Pricing & Value Analysis

Aspect Google Antigravity GitHub Copilot
Pricing URL View Google Antigravity Pricing View GitHub Copilot Pricing
Overall Score 91/100 92/100
Best For Agentic Workflows, AI-Native Development, Multi-Agent Orchestration Code Completion, Speed & Repetition, IDE Integration, GitHub Workflow Integration

Best Use Cases

Google Antigravity Excels At

  • Orchestrating multiple AI agents to work on different parts of a large codebase simultaneously
  • End-to-end feature development from design mocks to implementation using multimodal AI
  • Complex refactoring tasks with autonomous planning, execution, and validation by AI agents

GitHub Copilot Excels At

  • Writing boilerplate code and repetitive functions with intelligent autocomplete suggestions
  • Learning new programming languages and frameworks by getting contextual code examples
  • Accelerating API integration by generating code based on documentation and existing patterns

Performance & Integration

Category Google Antigravity GitHub Copilot Winner
IDE Support Google Antigravity is a standalone AI-native IDE. Integrates with Google Cloud services and supports extensions. Visual Studio Code, Visual Studio, JetBrains IDEs, Neovim, Xcode, Eclipse, Azure Data Studio. Tie
Community Active community Active community Tie
Data Richness Comprehensive Comprehensive Tie
Overall Score 91/100 92/100 GitHub Copilot

The Bottom Line

Both Google Antigravity and GitHub Copilot are capable AI coding tools, but they serve different needs. GitHub Copilot scores higher (92/100 vs 91/100) and excels in code completion and speed & repetition. The choice depends on your specific workflow, team size, and technical requirements.

Choose Google Antigravity if: you prioritize agentic workflows and ai-native development and don't mind a slightly lower score for specialized features.

Choose GitHub Copilot if: you prioritize code completion and speed & repetition and want the higher-rated option (92/100).

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