Google Antigravity vs Google Jules
Updated March 9, 2026
Overview
Google Antigravity is Google's agentic development platform, announced alongside Gemini 3 in late 2025. Built as a modified VS Code fork, it combines a traditional AI-powered editor with a Manager View for orchestrating multiple autonomous agents working in parallel across workspaces. Agents can plan, execute, and verify complex tasks across editor, terminal, and browser. Antigravity achieved 76.2% on SWE-bench Verified and supports Gemini 3 Pro, Deep Think, and Flash models, plus third-party models like Claude.
Jules is Google's AI coding agent powered by Gemini. It integrates with GitHub workflows to autonomously handle coding tasks—fixing bugs, writing tests, implementing features, and submitting pull requests. Jules runs in a cloud VM with its own development environment, understanding project context and dependencies to produce code that fits naturally into existing codebases.
Strengths and tradeoffs
What each tool does well, and the limitations to keep in mind.
Pros
- Free during preview phase with access to cutting-edge Gemini 3 models
- Impressive 76.2% score on SWE-bench Verified demonstrates strong capabilities
- Multi-agent orchestration enables complex parallel workflows across editor, terminal, and browser
- Support for third-party models like Claude provides flexibility beyond Google's ecosystem
Cons
- Preview status means features and pricing are subject to change
- Rate limits on free tier can be restrictive for heavy users
- AI Ultra pricing at $250/month is steep for individual developers
- Limited to personal Gmail accounts currently, no enterprise offerings yet
Pros
- Strong workflow UX with detailed planning and approval process
- Adds tests alongside implementations—better than most LLMs
- Private by default with no training on user code
- Effective for routine tasks like bug fixes and dependency updates
Cons
- Only 15 daily tasks on free tier severely limits evaluation
- Struggles with large codebases due to context window limits
- Not suitable for architectural overhauls or complex features
- Requires human oversight despite autonomous operation
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