Google Antigravity vs Open Code
Updated April 29, 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.
OpenCode is an open-source AI coding agent built for the terminal by Anomaly. It connects to 75+ LLM providers via Models.dev, supports parallel agent sessions on the same project, and has a privacy-first design — no code or context data is ever stored. Available as a TUI, IDE extensions, and a beta desktop app for macOS, Windows, and Linux.
Key features
Core capabilities each platform advertises.
- Privacy-first — zero retention of code, prompts, or context data
- 75+ LLM providers via Models.dev (Claude, GPT, Gemini, GitHub Copilot, ChatGPT Plus/Pro, local)
- Multi-session capability — run planning + build agents in parallel on the same repo
- LSP-enabled code understanding across languages
- Shareable session links for debugging and team review
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
- Open-source under MIT — 147K+ GitHub stars, no vendor lock-in
- Privacy-first design with zero data retention
- 75+ providers including local, GitHub Copilot, and ChatGPT Plus/Pro accounts
- Multi-session parallel agents (build + plan modes)
- Free with optional Zen service for optimized models
Cons
- Terminal-first — less polished than IDE-native agents like Cursor
- Desktop app still in beta on macOS/Windows/Linux
- Steeper learning curve than minimalist tools like Claude Code
- Provider availability depends on third-party API access (e.g., Anthropic OAuth restrictions)
What people are saying
It was the first time I felt like I could write up a large prompt, walk away from my laptop, and come back to a lot of work having been done.
Read full reviewGoogle Antigravity or Open Code — which should you choose?
Choose Google Antigravity if you wantChoose if you want
Choose Open Code if you wantChoose if you want
- Terminal-first AI pair programming for keyboard-driven developers
- Privacy-sensitive or air-gapped engineering environments
- Parallel agent workflows (planner + builder) on the same codebase
- BYOK across many providers without changing tools
- Debugging with shareable session traces for team review
Compare Google Antigravity and Open Code on your own traffic
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