Clarification Needed: Daily Quotas and Limits for Google AI Studio Web UI

Gemini API
1

Hello Gemini Team and Community,

I hope this message finds you well.

I am writing to seek some official clarification regarding the usage limits of the Google AI Studio Web UI, specifically when using models like Gemini 2.5 Pro.

I have been under the impression that the AI Studio interface is free of charge for interactive use and experimentation. However, I’ve recently been consistently blocked by two error messages: “You’ve reached your rate limit” and “Failed to generate content, quota exceeded.”

What’s particularly confusing is that this block has persisted for more than 24 hours, suggesting it’s not a simple daily refresh issue based on a calendar day. Even more puzzling is that while the Web UI is completely unusable for me (for both Pro and Flash models), my API key associated with the same Google account continues to work perfectly fine. This leads me to believe there is a separate, undocumented set of rules specifically for the Web UI.

To help me and other community members better understand the “rules of the road,” I would be very grateful if you could clarify the following two questions:

  1. Why do these strict limits exist on the Web UI? If the goal is to allow free experimentation, the current system can feel a bit like an arbitrary block without any warning or explanation, which can be a frustrating experience.

  2. What are the specific, official daily quotas for the AI Studio Web UI? Is the limit based on the number of requests (RPD), the total number of tokens processed (TPD), a rolling 24-hour window, or another metric? Having concrete numbers would be incredibly helpful for everyone to manage their usage and expectations.

Any official clarification on this matter would be greatly appreciated, as it would clear up a lot of confusion.

Thank you for your time and for creating such a powerful tool.

Best regards,

Eric-Terminal

3

Hello,

Welcome to the Forum!

AI Studio is intended for experimentation, allowing you to explore different models and see which one best fits your requirements.

For more stable outputs, we recommend using the Gemini API. You can find the specific limits and details for each model in the Gemini API documentation.