GitHub Copilot vs Google Antigravity
GitHub Copilot
Quick Verdict
GitHub Copilot excels at code completion and pair programming with a score of 95/100. GitHub Copilot pioneered AI-assisted coding and remains the gold standard for intelligent code completion.
Google Antigravity
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.
đ Visual Score Comparison
Side-by-side comparison of key performance metrics across six evaluation criteria
Technical Specifications
| Feature | GitHub Copilot | Google Antigravity |
|---|---|---|
| Core AI Model(s) | 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+). | 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. |
| Context Window | 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. | Supports large context windows through Gemini 3 Pro's advanced architecture, with multimodal processing of code, images, and design mocks. |
| Deployment Options | 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. | Available as a downloadable desktop application for Windows, macOS, and Linux. Currently in public preview with enterprise features planned. |
| Offline Mode | 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. | Limited offline capabilities; core agentic features require cloud connectivity for AI model inference and agent orchestration. |
Core Features Comparison
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
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
Pricing & Value Analysis
| Aspect | GitHub Copilot | Google Antigravity |
|---|---|---|
| Pricing URL | View GitHub Copilot Pricing | View Google Antigravity Pricing |
| Overall Score | 95/100 | 91/100 |
| Best For | Code Completion, Pair Programming, IDE Integration | Agentic Workflows, AI-Native Development, Multi-Agent Orchestration |
Best Use Cases
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
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
Performance & Integration
| Category | GitHub Copilot | Google Antigravity | Winner |
|---|---|---|---|
| IDE Support | Visual Studio Code, Visual Studio, JetBrains IDEs, Neovim, Xcode, Eclipse, Azure Data Studio. | Google Antigravity is a standalone AI-native IDE. Integrates with Google Cloud services and supports extensions. | Tie |
| Community | Active community | Active community | Tie |
| Data Richness | Comprehensive | Comprehensive | Tie |
| Overall Score | 95/100 | 91/100 | GitHub Copilot |
The Bottom Line
Both GitHub Copilot and Google Antigravity are capable AI coding tools, but they serve different needs. GitHub Copilot scores higher (95/100 vs 91/100) and excels in code completion and pair programming. The choice depends on your specific workflow, team size, and technical requirements.
Choose GitHub Copilot if: you prioritize code completion and pair programming and want the higher-rated option (95/100).
Choose Google Antigravity if: you prioritize agentic workflows and ai-native development and don't mind a slightly lower score for specialized features.