Skip to main content
NewsArticle AI Industry News

Veo API users have two days to migrate old Vertex AI video endpoints

Google Cloud's Vertex AI generative-media release notes say Veo 2.0, Veo 3.0, and Veo 3.0 Fast endpoint IDs should move to Veo 3.1 IDs before June 30, 2026. Production video apps need endpoint scans and fallback tests now.

Veo API users have two days to migrate old Vertex AI video endpoints

Google Cloud’s Vertex AI generative-media release notes list a near-term video endpoint deadline. The docs say the Veo 3.0, Veo 3.0 Fast, and Veo 2.0 generation endpoint IDs are deprecated and recommend moving before June 30, 2026 to avoid service disruption. The replacement path points veo-3.0-generate-001 and veo-2.0-generate-001 to veo-3.1-generate-001, and veo-3.0-fast-generate-001 to veo-3.1-fast-generate-001.

For teams using Veo through Vertex AI, this is a production maintenance item, not a future roadmap note. On June 28, the deadline is two days away.

What changed

  • Google Cloud’s docs list GA video-generation endpoint deprecations.
  • The migration deadline is June 30, 2026.
  • Veo 2.0 and Veo 3.0 routes should move to Veo 3.1 routes.
  • The same deadline appears in the Veo model documentation and Vertex AI release notes.

Buyer value

Video-generation workflows often sit behind marketing tools, creative automation, ecommerce product-content systems, or developer APIs. A stale endpoint can break more than one front end.

Teams should check:

  • backend model IDs;
  • queue workers and retry jobs;
  • no-code automation connectors;
  • internal prompt templates;
  • third-party wrappers;
  • fallback routing for failed generations;
  • billing and quality differences after moving to Veo 3.1.

What to do

Run a literal string search for veo-2.0-generate-001, veo-3.0-generate-001, and veo-3.0-fast-generate-001 across code, secrets, environment configs, dashboards, and vendor workflow builders. Update to the recommended Veo 3.1 IDs, then regenerate a small set of known prompts to compare output quality, duration, cost, and failure behavior.

If a third-party video tool routes through Vertex AI, ask whether its Google model IDs are already migrated. Do not assume the vendor handled it.

AiPedia take

This is exactly the kind of AI maintenance work teams miss because it is not glamorous. Endpoint deprecations are buyer-risk events. If generative video is in your production stack, model IDs need owners and alerting.

Sources

Primary and corroborating references used for this news item.

3 cited sources
  1. Google Cloud: Generative AI on Vertex AI release notes
  2. Google Cloud: Veo 3 model documentation
  3. Google Cloud: Vertex AI release notes

Read next

Share LinkedIn
Spotted an error or want to share your experience with Veo API users have two days to migrate old Vertex AI video endpoints?

Every tool page is re-verified on a recurring cycle, and corrections land faster when readers flag them directly. If you spot a stale fact, a missing capability, or have used Veo API users have two days to migrate old Vertex AI video endpoints and want to share what worked or didn't, the editorial desk reviews every message sent through this form.

Email editorial@aipedia.wiki