Last updated: 2025-12-28

Google Antigravity vs Claude Code

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.

98/100

Claude Code

The industry-leading agentic coding tool that lives in your terminal, understands entire codebases, and autonomously executes complex multi-file development tasks with unmatched precision.
Agentic CodingComplex RefactoringMulti-File DevelopmentCode ArchitectureAutonomous Task Execution

Quick Verdict

Claude Code excels at agentic coding and complex refactoring with a score of 98/100. Claude Code represents the pinnacle of agentic coding technology.

📊 Visual Score Comparison

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

Technical Specifications

Feature Google Antigravity Claude Code
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. Claude Opus 4.5 (flagship, 80.9% SWE-bench), Claude Sonnet 4, Claude Haiku 3.5. Opus 4.5 outperformed all human engineering candidates on Anthropic's internal hiring tests.
Context Window Supports large context windows through Gemini 3 Pro's advanced architecture, with multimodal processing of code, images, and design mocks. 200,000 tokens standard, with Sonnet-1M support. Agentic search understands entire project structures without manual file selection. Monorepo baseline ~20K tokens, leaving 180K for active development.
Deployment Options Available as a downloadable desktop application for Windows, macOS, and Linux. Currently in public preview with enterprise features planned. Terminal-native CLI via npm. Native VS Code and JetBrains IDE extensions. Headless mode for CI/CD and GitHub Actions. Enterprise deployment via AWS Bedrock or Google Cloud Vertex AI.
Offline Mode Limited offline capabilities; core agentic features require cloud connectivity for AI model inference and agent orchestration. Cloud-based, requires internet. Designed for real-time agentic workflows.

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

Claude Code Features

  • Agentic multi-file editing with autonomous planning and execution
  • Industry-leading 200K token context window with full codebase understanding
  • Native terminal integration with any IDE or editor
  • Git workflow automation with PR creation and code review
  • Model Context Protocol (MCP) for external tool integration
  • Subagent architecture for complex task decomposition
  • CLAUDE.md project memory for persistent context

Pricing & Value Analysis

Aspect Google Antigravity Claude Code
Pricing URL View Google Antigravity Pricing View Claude Code Pricing
Overall Score 91/100 98/100
Best For Agentic Workflows, AI-Native Development, Multi-Agent Orchestration Agentic Coding, Complex Refactoring, Multi-File Development, Code Architecture, Autonomous Task Execution

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

Claude Code Excels At

  • Autonomous feature implementation: describe functionality in natural language and Claude Code plans, implements across multiple files, runs tests, and creates PRs
  • Large-scale codebase refactoring with full context awareness—maintains consistency across hundreds of files without losing context
  • Legacy code modernization by analyzing entire codebases and executing systematic upgrades with rollback capabilities
  • CI/CD integration via headless mode for automated code review, testing, and deployment workflows
  • Complex debugging: paste an error, and Claude Code analyzes the codebase, identifies root causes, and implements verified fixes

Performance & Integration

Category Google Antigravity Claude Code Winner
IDE Support Google Antigravity is a standalone AI-native IDE. Integrates with Google Cloud services and supports extensions. Terminal-native (works with ANY editor), plus native extensions for VS Code, Cursor, Windsurf, and JetBrains IDEs. Tie
Community Active community Active community Tie
Data Richness Comprehensive Comprehensive Tie
Overall Score 91/100 98/100 Claude Code

The Bottom Line

Both Google Antigravity and Claude Code are capable AI coding tools, but they serve different needs. Claude Code scores higher (98/100 vs 91/100) and excels in agentic coding and complex refactoring. 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 Claude Code if: you prioritize agentic coding and complex refactoring and want the higher-rated option (98/100).