How Google’s New Gemini Rates Work and How to Track Your Usage
Now that Google has changed how its usage quotas are tallied, you might not get as many AI responses as you did before.
Earlier this summer, Google rolled out a bunch of upgrades to its Gemini AI apps, making them more powerful than ever. Google’s AI can now work across more apps, and it’s getting increasingly difficult to use anything made by Google without bumping into some kind of AI feature or assistant.
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.
Faster models capable of greater complexity will require more credits to run.
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.
It makes more sense from Google’s perspective, because it’s measuring how much you’re actually costing the company and its data centers in terms of resources. However, it’s all a bit vague for end users, who are now less sure about when they’ll hit their limits—and it means you can’t rely on a rule like “5 image generations a day.”
