Google Antigravity vs Windsurf
Google Antigravity is best for Agentic Workflows, while Windsurf targets AI-Native Development. On our independent 100-point evaluation, Google Antigravity scores 92/100 vs Windsurf's 91/100 — a 1-point gap reflecting measurable differences across ten capability dimensions.
Google Antigravity
Quick Verdict
Google Antigravity focuses on Agentic Workflows and AI-Native Development and scores 92/100 in our independent evaluation. Google Antigravity represents a paradigm shift in AI-assisted development, moving beyond code completion to full agentic automation.
Windsurf
Quick Verdict
Windsurf focuses on AI-Native Development and Large Codebases and scores 91/100 in our independent evaluation. Windsurf, now part of OpenAI following the acquisition of Codeium, competes in the Cursor-class editor category with an emphasis on agentic workflows.
📊 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. | Primarily powered by OpenAI models (GPT-4.1, o3) with the Cascade agent for agentic workflows. Legacy Codeium models may still be used for low-latency autocomplete. |
| Context Window | Supports large context windows through Gemini 3 Pro's advanced architecture, with multimodal processing of code, images, and design mocks. | Supports large context windows via OpenAI's frontier models. Cascade agent maintains multi-file context for complex refactoring tasks. |
| Deployment Options | Available as a downloadable desktop application for Windows, macOS, and Linux. Currently in public preview with enterprise features planned. | Desktop application for macOS, Windows, and Linux. Enterprise plans available with SSO and team management features. |
| Offline Mode | Limited offline capabilities; core agentic features require cloud connectivity for AI model inference and agent orchestration. | Limited offline capabilities; core AI features require cloud connectivity to OpenAI's infrastructure. |
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
- Cascade agent for autonomous multi-step coding tasks
- 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
- Deep integration with OpenAI models
Pricing & Value Analysis
| Aspect | Google Antigravity | Windsurf |
|---|---|---|
| Overall Score | 92/100 | 91/100 |
| Best For | Agentic Workflows, AI-Native Development, Multi-Agent Orchestration | AI-Native Development, Large Codebases, Agentic Workflows, OpenAI Ecosystem Users |
| Detailed Pricing | View Google Antigravity pricing | View Windsurf pricing |
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
- Teams invested in the OpenAI ecosystem seeking a native editor experience
Performance & Integration
| Category | Google Antigravity | Windsurf | Winner |
|---|---|---|---|
| Overall Score | 92/100 | 91/100 | Google Antigravity |
| IDE Support | Google Antigravity is a standalone AI-native IDE. Integrates with Google Cloud services and supports… | Windsurf is a standalone VS Code-based editor. Also offers extensions for VS Code, JetBrains IDEs, a… | Tie |
| Founded | NaN | 2022 | Tie |
| Community Channels | 2 channels | 2 channels | Tie |
Google Antigravity vs Windsurf: Data-Driven Comparison
This section is auto-generated from the underlying data in Google Antigravity's and Windsurf's published specifications — no marketing copy. Each row below contrasts a specific capability area using the fields we track in our scoring methodology.
Underlying AI models
Google Antigravity: 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 se… Windsurf: Primarily powered by OpenAI models (GPT-4.1, o3) with the Cascade agent for agentic workflows. Legacy Codeium models may still be used for l…
Context window handling
Google Antigravity: Supports large context windows through Gemini 3 Pro's advanced architecture, with multimodal processing of code, images, and design mocks. Windsurf: Supports large context windows via OpenAI's frontier models. Cascade agent maintains multi-file context for complex refactoring tasks.
Deployment & IDE footprint
Google Antigravity: Available as a downloadable desktop application for Windows, macOS, and Linux. Currently in public preview with enterprise features planned. Windsurf: Desktop application for macOS, Windows, and Linux. Enterprise plans available with SSO and team management features.
Where each tool specializes
Google Antigravity targets Multi-Agent Orchestration. Windsurf targets Large Codebases and OpenAI Ecosystem Users. This divergence matters when matching a tool to a team's primary workflow.
Choose Google Antigravity when Agentic Workflows maps directly to your main workflow and the data points above lean in its favor.
Choose Windsurf when AI-Native Development is the higher-priority capability for your team.
The Bottom Line
Google Antigravity and Windsurf each serve different needs. Google Antigravity scores higher (92/100 vs 91/100) and tends to excel in Agentic Workflows and AI-Native Development. The right pick depends on your workflow, team size, and technical constraints.
Choose Google Antigravity if: you prioritize Agentic Workflows and AI-Native Development and want the higher-rated option (92/100 vs 91/100).
Choose Windsurf if: you prioritize AI-Native Development and Large Codebases and accept a slightly lower headline score for its specialized fit.
Get the full comparison wallchart — scores, features, and decision guide in one printable PDF.
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