Compare Google Antigravity and Google Jules side by side. Both are tools in the Coding Agents category.
Updated March 9, 2026
Choose Google Antigravity if free during preview phase with access to cutting-edge Gemini 3 models.
Choose Google Jules if strong workflow UX with detailed planning and approval process.
Google has shipped multiple AI coding products in parallel and the naming has not helped clarity. Antigravity and Jules sit in the same space but solve different problems.
Antigravity is Google's agent platform, designed for building and deploying AI agents on Google Cloud. The pitch is end-to-end agent infrastructure: orchestration, evaluation, deployment, observability. It is closer to an agent framework + platform than to a single product. Targets enterprise developers building on Gemini and Vertex AI.
Jules is a hosted asynchronous code agent. You assign it tasks against your GitHub repo and it produces pull requests for review. No IDE plugin, no terminal session. The mental model is closer to assigning work to a junior developer than to running a tool. Hosted-only, tightly tied to Google's account and billing.
Where the trade-off bites: Antigravity is the right pick if you are building your own agent product on Google Cloud and want Google's platform pieces (Vertex, Gemini, observability tooling). Jules is the right pick if you have specific, well-scoped coding tasks you want to delegate and you would rather pay a flat rate than run the agent yourself.
Where Respan fits. If you are building on Antigravity, you can route gateway calls through Respan for unified observability across Gemini, Anthropic, OpenAI, and other providers. Jules is a closed system, so the integration story sits at whatever Jules exposes.
Want to compare Google Antigravity and Google Jules on your own traffic?
Respan lets you trace LLM and agent calls across any model or framework, A/B test prompts on production traffic, and route requests across 250+ models through one gateway. Free tier covers 10K traces per month. Setup in 5 minutes, no credit card.
| Category | Coding Agents | Coding Agents |
| Website | developers.googleblog.com | jules.google |
Key criteria to evaluate when comparing Coding Agents solutions:
Google Antigravity is Google's agentic development platform, announced alongside Gemini 3 in late 2025. Built as a modified VS Code fork, Antigravity 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 environments. The platform achieved 76.2% on the SWE-bench Verified benchmark, demonstrating strong code generation capabilities. Antigravity supports Gemini 3 Pro, Deep Think, and Flash models, plus third-party models including Claude, making it flexible for developers who want to use different AI providers. Currently available in preview for personal Gmail accounts on Mac, Windows, and Linux, Antigravity is free during the preview phase but expected to introduce paid tiers. Google AI Pro subscribers ($20/month) and AI Ultra subscribers ($250/month) receive higher rate limits, with rate limits refreshing every 5 hours for Pro users.
Google Jules is an AI-powered autonomous coding agent launched in general availability in August 2025 following a successful beta testing phase that began in May. Powered by Gemini 2.5 Pro, Google most advanced language model, Jules integrates directly with GitHub to handle bug fixes, test writing, dependency updates, and small feature implementations. The platform presents detailed plans and requests approval before taking action, with a 5-minute timeout for automatic approval if no response is received. Jules offers three pricing tiers: a free Introductory plan with 15 daily tasks and 3 concurrent tasks, Google AI Pro at USD 19.99/month with 100 daily tasks and 15 concurrent tasks, and Google AI Ultra at USD 124.99/month with 300 daily tasks and 60 concurrent tasks. While Jules excels at routine, well-scoped tasks and adds tests alongside implementations, developer feedback reveals performance limitations including underwhelming results on complex features, frustrating context window limits with large codebases, and difficulty with architectural overhauls. Jules functions best as a capable junior developer for routine work but still requires human oversight for correctness and alignment.
AI-powered developer tools that can write, review, debug, and refactor code—ranging from IDE copilots to fully autonomous software engineering agents.
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