The original title is "Google Antigravity vs OpenAI Codex: Architecture, workflow, and cost comparison"

Short summary

Google Antigravity and OpenAI Codex represent two opposing philosophies for AI coding agents: Antigravity is a VS Code fork with agents embedded in a local IDE with visual verification, while Codex runs in isolated cloud sandboxes and returns finished PRs. The comparison covers execution model, supported models, interaction style, GitHub integration, pricing, and performance. Both handle the full coding loop, so architecture, workflow fit, and sustained cost are the real differentiators.

• •Antigravity is an agent-first VS Code fork with local execution and visual artifact verification
• •Codex is a cloud-native agent that runs in sandboxes and returns PRs asynchronously
• •Choice depends on workflow: real-time exploration vs batch spec-driven tasks

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