How Google’s New Gemini Rates Work and How to Track Your Usage
Google has transitioned its Gemini AI usage model from a simple request count to a resource-based system that accounts for computing power. This change means users may hit usage limits faster when performing complex tasks, making it harder to predict daily availability.
Why it matters
As AI becomes a daily utility, shifting to resource-based metering highlights the high operational costs of large language models and creates uncertainty for power users.
Besides all of the AI upgrades though, there are also new limits on usage. Google has completely revamped the way that AI usage is measured and metered out across the various tiers: Free, Plus, Pro, and Ultra.
If you’ve suddenly found yourself running out of credit at the Gemini AI bank and being told to wait before making any further prompt requests, this might be why. Here’s what’s changing, and how to check where your AI credit stands.
How AI Usage Is Changing
Google now measures Gemini AI usage by the computing power requirements of your requests, not by the number of requests you make. So, whereas before you might have been able to generate three videos a day, now you might find you can generate only two if the videos are particularly complex.
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