Google Antigravity vs Windsurf
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.
Windsurf
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.
đ Visual Score Comparison
Side-by-side comparison of key performance metrics across six evaluation criteria
Technical Specifications
| Feature | Google Antigravity | Windsurf |
|---|---|---|
| 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. | Not specified |
| Context Window | Supports large context windows through Gemini 3 Pro's advanced architecture, with multimodal processing of code, images, and design mocks. | Not specified |
| Deployment Options | Available as a downloadable desktop application for Windows, macOS, and Linux. Currently in public preview with enterprise features planned. | Not specified |
| Offline Mode | Limited offline capabilities; core agentic features require cloud connectivity for AI model inference and agent orchestration. | Not specified |
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
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
Pricing & Value Analysis
| Aspect | Google Antigravity | Windsurf |
|---|---|---|
| Pricing URL | View Google Antigravity Pricing | View Windsurf Pricing |
| Overall Score | 91/100 | 91/100 |
| Best For | Agentic Workflows, AI-Native Development, Multi-Agent Orchestration | AI-Native Development, Large Codebases, Agentic Workflows |
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
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
Performance & Integration
| Category | Google Antigravity | Windsurf | Winner |
|---|---|---|---|
| IDE Support | Google Antigravity is a standalone AI-native IDE. Integrates with Google Cloud services and supports extensions. | Multiple IDEs supported | Tie |
| Community | Active community | Limited community | Tie |
| Data Richness | Comprehensive | Basic | Google Antigravity |
| Overall Score | 91/100 | 91/100 | Tie |
The Bottom Line
Both Google Antigravity and Windsurf are capable AI coding tools, but they serve different needs. Google Antigravity scores higher (91/100 vs 91/100) and excels in agentic workflows and ai-native development. 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 prefer its specific approach.
Choose Windsurf if: you prioritize ai-native development and large codebases and prefer its specific approach.