Erro 403 denied

Gemini API
1

Hello Google Support,

Our production Google Cloud project suddenly lost access to the Gemini API and now returns HTTP 403 PERMISSION_DENIED for different models and endpoints.

Project information:

  • Project ID: [INSERT PROJECT ID]

  • Project number: [INSERT PROJECT NUMBER]

  • Billing status: Active

  • Credits added: approximately BRL 200

Tests performed on September 6, 2026:

  1. Listing available models
    Result: 200 OK
    This confirms that the API key exists and is recognized.

  2. Text generation
    Time: approximately 19:44 UTC
    Endpoint: /v1beta/models/gemini-flash-latest:generateContent
    Model: gemini-flash-latest
    Result: HTTP 403

  3. Video generation
    Time: approximately 19:38 UTC
    Endpoint: /v1beta/interactions
    Model: gemini-omni-1.1-flash
    Result: HTTP 403

Both generation requests returned:

{"error":{"code":403,"message":"Your project has been denied access. Please contact support.","status":"PERMISSION_DENIED"}}

The API was working normally before this restriction. The last successful video generation occurred at approximately 18:45 UTC on September 6, 2026. Less than one hour later, requests began returning the project-level denial message.

The same error occurs with both text and video models, so the issue is not limited to Gemini Omni or the video endpoint. Billing remains active, and the requests are rejected before generation begins.

No warning, explanation, or appeal banner is currently visible in Google Cloud Console.

Please perform an urgent manual review of the project, clarify why access was denied, and restore Gemini API access. This API supports a production application that is currently unavailable because of the restriction.

Thank you.

2

Hello @Camila_Servicos ,

Getting a 403 API error response and / or seeing “Unavailable” next to your project in AI audio indicates a flag has been placed on your account. To proceed:

If you are on a paid tier:

  1. Check for banners / error callouts in the AI Studio Projects page & the Billing page. Mostly these flags cause visible banners or other errors on these pages with concrete next steps / appeal links. You can also check the email address associated with your project for information on next steps.

  2. If your GCP project/ billing account is suspended, you must submit an appeal directly through the Google Cloud Console following the Project Suspension Guidelines (Help Center)

3

Hello,

I need help with a Gemini API access denial.

My requests consistently return:

HTTP 403 PERMISSION_DENIED
“Your project has been denied access. Please contact support.”

Project name: My AI Project
Project ID: my-ai-project-50892..
Project number: 2007321596..

The AI Studio project itself is accessible and my Build application opens normally.

The API key I am using is an Authorization key starting with AQ., and it is bound to a service account. The project and API configuration appear to be accessible, but generateContent requests are still denied with the 403 above.

Could you please review the Gemini API access status of this project and let me know whether there is an account, security, eligibility, or project-level restriction causing this denial?

I have not included any API keys or private credentials.

Thank you.

4

Update: My Google account was previously temporarily suspended, but I received a system notification that the account is no longer suspended.
However, after the suspension was lifted, Google AI Studio still shows:
Failed to list models: permission denied. Please try again.
I am also still redirected to the Available regions page. My age has already been verified.
Could you please check whether there is still an account-level, regional, or security restriction preventing my access to AI Studio/Gemini API?
Thank you.

5

Hello @Welch_Pranav,

When a Free Tier project (my-ai-project-50892... / 2007321596...) remains restricted by automated account security checks following a prior account suspension, it cannot be manually overridden. To restore access, please upgrade the project to a paid plan by:

  1. Setting up prepayment credits on the Google AI Studio Billing page, and
  2. Linking an active Google Cloud Billing account to project my-ai-project-50892... in the Google Cloud Console Billing page.