Will I lose my data if I disable the Vertex AI API?

Possibly for Vertex AI Search resources, which may be deleted when the API is disabled. However, Cloud Storage buckets are independent and survive API disablement — you must delete them manually to stop storage charges.

Can I get a refund for unexpected Vertex AI charges?

Google does not guarantee refunds, but you can open a billing support case at cloud.google.com/support/billing. Many users report receiving partial goodwill credits for first-time unexpected billing situations. You must be a Billing Administrator on the account to request a refund.

Does stopping a Workbench instance stop all charges?

No. Stopping an instance only pauses compute charges; storage and other associated costs continue. You must delete the instance entirely to stop all charges related to it.

Do deployed endpoints charge even with no traffic?

Yes. Deployed model endpoints are charged per node-hour regardless of whether any requests are made. This is the most common source of surprise bills. Always undeploy models and delete endpoints when not in use.

How long after disabling the API will charges stop?

Charges can continue appearing in billing for up to 24 hours after disabling the Vertex AI API. Pre-closure usage charges are your responsibility even after the API or billing account is closed.

Can I reactivate Vertex AI after disabling it?

Yes, you can re-enable the Vertex AI API at any time from the API Library page. If you disabled billing on the project, you can re-enable it from the Billing → My Projects page, provided you have sufficient permissions on the billing account.

Google Vertex AIの解約方法（2026年）

Google Vertex AIのプランは$0.00/月から。6ステップのガイドに従って約10分でサブスクリプションを解約できます — 引き止めオファーを避けるコツ付き。

更新日: 2026年4月

普通

ウェブサイトを見る

所要時間:10 分

解約方法:Website

Open Billing Reports

Go to console.cloud.google.com → click the navigation menu (☰) → select 'Billing' → click 'Reports'. Identify which Vertex AI resources are generating charges (endpoints, Workbench instances, training jobs, storage buckets).

Undeploy models and delete endpoints

Navigate to console.cloud.google.com/vertex-ai/endpoints. Click each endpoint name, then for each deployed model click the Actions menu (three-dot icon) → 'Undeploy model from endpoint' → confirm 'Undeploy'. Once all models are undeployed, click Actions → 'Delete endpoint'.

Delete training jobs and Workbench instances

Go to Vertex AI → 'Training' → Training Pipelines: click Actions → 'Delete training pipeline' for each. Then go to Vertex AI → 'Workbench' → 'Instances': select each instance → click 'Stop', then after it stops click 'Delete' to fully end storage charges.

Delete Cloud Storage buckets

Go to console.cloud.google.com/storage/browser and delete any buckets created by Vertex AI jobs (they are NOT auto-deleted and continue to incur charges independently). Click the bucket row checkbox → click 'Delete' → type the bucket name to confirm.

Disable the Vertex AI API

Go to console.cloud.google.com/apis/library/aiplatform.googleapis.com. Click the 'Disable API' button. In the confirmation dialog 'Disable Vertex AI API?' click 'Disable'. Note: charges may continue appearing for up to 24 hours after disabling.

Disable billing on the project (optional full stop)

Go to console.cloud.google.com/billing → click 'My Projects' tab. Find your project, click its Actions menu (three vertical dots) → select 'Disable billing' → click 'Disable billing' in the confirmation prompt. This immediately stops all Google Cloud services in the project.

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