Google Antigravity vs Windsurf: Complete Comparison Guide 2025
Choosing the right AI-powered IDE can significantly impact your development productivity. In this comprehensive comparison, we'll examine Google Antigravity and Windsurf across all major features, helping you make an informed decision.
Quick Start: Already decided on Antigravity? Jump to our complete installation guide to get started in minutes.
| Feature | Google Antigravity | Windsurf |
|---|---|---|
| AI Model | Gemini 3 (latest) | Claude/GPT-4 |
| Base Editor | Custom-built | VS Code fork |
| Price | Free tier available | Free tier available |
| Agent Mode | Advanced multi-agent | Cascade flows |
| MCP Support | Native (see our MCP guide) | Limited |
| Codebase Understanding | Full context (1M tokens) | File-level |
Looking for other comparisons? Check out:
Google Antigravity is powered by Gemini 3, Google's most advanced AI model with a massive context window of up to 1 million tokens:
Context Window: 1,000,000+ tokens
Training Data: Up to 2024
Specialization: Code generation, debugging, architecture
Windsurf utilizes a combination of AI models through their Cascade system:
Winner: Google Antigravity - The million-token context window is game-changing for large projects.
Winner: Tie - Antigravity offers innovation while Windsurf provides VS Code familiarity.
This is where the two IDEs differ significantly. Learn more in our Agent Mode mastery guide.
Agent Mode Features:
├── Multi-agent orchestration
├── Autonomous task execution
├── File system operations
├── Terminal command execution
├── Web browsing for research
├── MCP server integration
└── Iterative refinement loops
Key Capabilities:
Example workflow:
User: "Add authentication to my Express app using JWT"
Agent Mode:
1. Analyzes existing project structure
2. Identifies auth-related patterns
3. Creates auth middleware
4. Adds user model
5. Implements login/register routes
6. Updates existing routes with auth
7. Writes tests
8. Updates documentation
Winner: Google Antigravity - The autonomous multi-agent system provides more powerful automation.
For a deep dive into MCP, see our complete MCP servers guide and browse our MCP server directory.
Native MCP support with extensive capabilities:
{
"mcpServers": {
"filesystem": {
"command": "npx",
"args": ["-y", "@anthropic-ai/mcp-filesystem"]
},
"github": {
"command": "npx",
"args": ["-y", "@anthropic-ai/mcp-github"]
},
"database": {
"command": "npx",
"args": ["-y", "@anthropic-ai/mcp-postgres"]
}
}
}
Available MCP Servers:
Limited MCP support with growing ecosystem.
Winner: Google Antigravity - Far more mature MCP ecosystem with native support.
Both IDEs excel at code generation for React, TypeScript, Python, and API development.
Powered by Gemini 3's code specialization:
// Example: Generated React component with full typing
interface UserProfileProps {
userId: string;
onUpdate?: (user: User) => void;
}
export const UserProfile: React.FC<UserProfileProps> = ({
userId,
onUpdate
}) => {
const [user, setUser] = useState<User | null>(null);
const [loading, setLoading] = useState(true);
const [error, setError] = useState<string | null>(null);
useEffect(() => {
const fetchUser = async () => {
try {
const response = await api.getUser(userId);
setUser(response.data);
} catch (err) {
setError(err instanceof Error ? err.message : 'Failed to fetch');
} finally {
setLoading(false);
}
};
fetchUser();
}, [userId]);
};
Strengths:
Winner: Slight edge to Google Antigravity - Better codebase context leads to more consistent code.
Winner: Google Antigravity - Purpose-built architecture provides performance advantages.
Performance issues? Check our troubleshooting guide for optimization tips.
| Plan | Price | Features |
|---|---|---|
| Free | $0/mo | Basic AI, limited requests |
| Pro | $20/mo | Unlimited AI, Agent Mode |
| Team | $40/user/mo | Collaboration, priority |
| Enterprise | Custom | SSO, audit logs, support |
| Plan | Price | Features |
|---|---|---|
| Free | $0/mo | Basic features |
| Pro | $15/mo | Cascade flows |
| Team | $30/user/mo | Team features |
Winner: Depends on needs - Windsurf is slightly cheaper, but Google Antigravity offers more value.
We tested both IDEs on identical tasks:
Google Antigravity: 12 minutes (Agent Mode)
Windsurf: 25 minutes (manual prompting)
Google Antigravity: 5 minutes
Windsurf: 15 minutes
| Category | Google Antigravity | Windsurf |
|---|---|---|
| AI Intelligence | 9.5/10 | 8/10 |
| Agent Capabilities | 9.5/10 | 7/10 |
| MCP Support | 9/10 | 6/10 |
| Code Quality | 9/10 | 8.5/10 |
| Performance | 9/10 | 8/10 |
| Learning Curve | 7/10 | 9/10 |
| Overall | 8.8/10 | 7.8/10 |
For most developers in 2025, Google Antigravity is the better choice.
The combination of Gemini 3's massive context window, advanced Agent Mode, and native MCP support makes it more powerful for serious development work.
Ready to make the switch? Here's your path:
Last updated: December 2025
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