I’m building and testing an image/video generation tool. I’m currently validating whether the UI structure and the overall generation workflow operate correctly end-to-end. After making fixes, I regenerate outputs repeatedly to confirm the issues are resolved.
However, Google AI Studio keeps showing: “You’ve reached your rate limit. Please try again later.” This happens even though I linked my paid Google Cloud project in AI Studio.
Because I’m a beginner, I’m going through a lot of trial and error and need many more generation attempts than usual to test and verify changes. I’d like guidance on:
which quota/rate limit I am hitting (and where to check it),
how to ensure AI Studio is actually using the paid project’s quotas,
and whether I should request a tier upgrade or a quota increase for the Generative Language API.
What I’ve tried:
Linked my paid Google Cloud project to Google AI Studio
Retried after some time, but the error continues
Additionally, my RPD (requests per day) and RPM (requests per minute) limits in Google AI Studio still appear to be enforced even after midnight Pacific Time (PST), when I expected the daily quota to reset. The rate limit error continues past the usual reset time, so it may not be refreshing correctly or the project/quota being applied might not be the one I linked.
AI Studio applies its own usage limits that are separate from the quotas of the Vertex AI Generative Language API in your linked Cloud project. Even after you connect a paid project, sessions in AI Studio continue to run under the Studio environment, which has per-user rate limits designed for prototyping rather than load testing. These limits don’t automatically expand with your project’s billing tier, and they can persist past the expected reset time if your session remains cached in the Studio backend.
To confirm whether your linked project is being used, open the project selector in AI Studio and ensure the project ID appears at the top of the workspace. To remove the Studio cap entirely, move your testing to the Vertex AI API directly using the “gemini-pro” or “gemini-pro-vision” models via the Generative Language API in your own project. You can check and request quota increases in the Cloud Console under IAM & Admin → Quotas, filtering by the Vertex AI API service. That environment enforces your project’s quotas, not the Studio sandbox ones, and is the right place for higher-frequency validation runs.
It appears that the model veo-3.0-fast-generate has exceeded its RPM and RPD limits. Rate limits will update automatically as your tier and account status change. Each model variant has its own RPM limit, and you can find the specific values in the Gemini models documentation. Please check again and let me know if you’re still seeing the rate-limit error.
