The subscription is available in more than 160 countries and territories, and members can choose between a monthly or annual billing cycle .
When Google AI Plus launched in the US in January 2026, it cost $7.99 per month with 200 GB of storage . The June 8 update cuts that to $4.99 per month with 400 GB of storage—a 38% price reduction while doubling storage
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For existing subscribers, reports note the price decrease takes effect at the next plan renewal, while the storage increase rolls out within a few days .
Google I/O 2026 in May fundamentally restructured the company’s AI subscription lineup. What was once a single “Google One AI Premium” plan expanded into a multi-tier family :
The Ultra tier at $99.99/month was specifically tailored for developers, technical leads, knowledge workers, and advanced creators, according to Google’s own announcement .
Google also shifted its usage model from daily prompt limits to a consumption-based system where simpler text requests consume less quota than complex operations like video generation or coding prompts .
At $4.99/month with 400 GB of cloud storage, Google AI Plus becomes one of the most aggressively priced paid AI plans from a major vendor—undercutting its own prior pricing while bundling a generous storage allocation that stands out against competing AI subscriptions that often separate storage from AI access.
The broader restructuring gives Google a clear upsell ladder: subscribers can start at $4.99/month and move up to Pro at $19.99 or Ultra at $99.99 and $200, creating a path that matches growing usage with increasingly capable tiers . The top tier’s inclusion of YouTube Premium, 20 TB of storage, and expanded NotebookLM and Gemini capabilities positions Ultra as a comprehensive productivity bundle for power users, not just an AI add-on
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The combined effect is a two-pronged competitive strategy: a sharply priced entry level that lowers the barrier for casual users to adopt Google’s AI ecosystem, and premium tiers designed to capture high-usage professionals and developers seeking deep integration and maximum model access .
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