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Google Antigravity account with a paid subscription
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Plans
Google AI Pro
- A higher weekly Antigravity limit with quota that refreshes every five hours
- Gemini 3.1 Pro and the Gemini Flash line as the core agent model
- Claude Sonnet 4.6 (thinking), Claude Opus 4.6 (thinking) and GPT-OSS-120b on a limit separate from Gemini
- Unlimited Tab completions and every product feature: scheduled tasks, CLI, browser tooling
- Option to buy AI credits and spend them beyond the baseline quota
Google AI Ultra
- The largest Antigravity quota and the highest weekly limits
- Quota refresh every five hours plus prioritized request handling
- Access to third-party models: Claude Sonnet 4.6, Claude Opus 4.6, GPT-OSS-120b
- First access to new and experimental models as capacity allows
- Two limit steps inside the plan — roughly five times and twenty times the Pro allowance
- AI credits available for usage on top of the baseline quota
Plan contents as published by the vendor; seller prices arrive at launch.
What you get
A ready Google account with a paid AI subscription: install Antigravity on your machine, sign in and start the agent right away. The first thing to establish is whose email it is — the seller's email means access can technically return to them, and the linked phone and payment method decide who controls renewal. Account age and the number of paid cycles hint at how stable it tends to be in practice.
About the service
Google's agent-first development environment: you describe the task and the agent plans the steps, edits files, runs commands and verifies the result in a browser. You work through an editor, an agent manager and a separate CLI, so several tasks can run in parallel and changes are accepted after reviewing the agent's reports. Gemini is the core model, with Claude and GPT-OSS also available in the model selector under their own limit. Access is not bought on its own: it comes with a Google AI subscription, and the plan only determines quota size and priority. Usage is metered by how much work the agent does rather than by message count, so straightforward tasks drain the limit far more slowly.
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