Request for manual review — Gemini API 403 PERMISSION_DENIED for project mirai-lab-workspace-ops

Gemini API
1

Hello Google AI Developers team,

I am requesting a manual review of Gemini API access for the following Google Cloud project:

  • Project ID: mirai-lab-workspace-ops
  • Project number: 80997451453..
  • API: Gemini API (generativelanguage.googleapis.com), enabled in Google Cloud Console
  • Endpoint/model: v1beta/models/gemini-3.6-flash:generateContent

Observed result:

  • HTTP status: 403
  • Error status: PERMISSION_DENIED
  • Error message: Your project has been denied access. Please contact support.

The issue reproduces with a newly created Gemini API key associated with this project. In Google AI Studio, the project’s API key entry is shown as unavailable, with an option to set up billing. Neither Google Cloud Console nor Google AI Studio currently shows an appeal, review, or remediation path.

Could you please review this project’s Gemini API access and advise:

  1. Whether the project is restricted or denied at an account/project entitlement level.
  2. The reason for the restriction, if it can be disclosed.
  3. The required steps to restore Gemini API access.

No API keys, authorization data, request payloads, or user content are included in this report. Thank you.

2

Hello @mirai-research ,

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’re on the free tier with no billing attached, please try the below steps:

  1. Check Model Availability & Rate Limits:

    • Ensure that the model you are requesting is available on your current plan. For example, not all models are available on the free tier. You can verify model availability, quotas, and limits on the AI Studio Rate Limit dashboard.

  2. Ensure you have completed age verification by navigating to Google Account Age Verification and verifying date of birth in Google Account Personal Info.

  3. Complete Phone Verification and turn on 2-Step Verification (2SV) on the Google Account associated with your project.

  4. Once age, phone and 2sv are configured, retry your request or create a new API key in Google AI Studio.

  5. If completing these steps still does not restore access (or if using a model requiring a paid tier), you might want to consider adding prepayment credits directly in Google AI Studio and/ or attaching a Google Cloud Billing account in the Google Cloud Console. Please note this will mean you lose your free tier quota.