Last updated: 2025-12-01

Windsurf vs Google Antigravity

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

Windsurf

An AI-powered code editor focused on agentic workflows, multi-file editing, and in-editor refactoring.
AI-Native DevelopmentLarge CodebasesAgentic Workflows

Quick Verdict

Windsurf excels at ai-native development and large codebases with a score of 91/100. Windsurf competes in the Cursor-class editor category with an emphasis on agentic workflows.

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.

📊 Visual Score Comparison

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

Technical Specifications

Feature Windsurf Google Antigravity
Core AI Model(s) Not specified 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 Not specified Supports large context windows through Gemini 3 Pro's advanced architecture, with multimodal processing of code, images, and design mocks.
Deployment Options Not specified Available as a downloadable desktop application for Windows, macOS, and Linux. Currently in public preview with enterprise features planned.
Offline Mode Not specified Limited offline capabilities; core agentic features require cloud connectivity for AI model inference and agent orchestration.

Core Features Comparison

Windsurf Features

  • Agentic workflows for multi-step tasks
  • Context-aware code completion and refactoring
  • Multi-file edits and project-wide reasoning
  • Native editor experience with low-latency responses

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 Windsurf Google Antigravity
Pricing URL View Windsurf Pricing View Google Antigravity Pricing
Overall Score 91/100 91/100
Best For AI-Native Development, Large Codebases, Agentic Workflows Agentic Workflows, AI-Native Development, Multi-Agent Orchestration

Best Use Cases

Windsurf Excels At

  • Multi-file feature development with agent-guided refactors
  • Complex codebase changes coordinated across modules
  • Rapid iteration with in-editor AI for generation and fixes

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 Windsurf Google Antigravity Winner
IDE Support Multiple IDEs supported Google Antigravity is a standalone AI-native IDE. Integrates with Google Cloud services and supports extensions. Tie
Community Limited community Active community Tie
Data Richness Basic Comprehensive Google Antigravity
Overall Score 91/100 91/100 Tie

The Bottom Line

Both Windsurf and Google Antigravity are capable AI coding tools, but they serve different needs. Windsurf scores higher (91/100 vs 91/100) and excels in ai-native development and large codebases. The choice depends on your specific workflow, team size, and technical requirements.

Choose Windsurf if: you prioritize ai-native development and large codebases and prefer its specific approach.

Choose Google Antigravity if: you prioritize agentic workflows and ai-native development and prefer its specific approach.