Vertex AI or a direct Gemini API?
The choice can affect billing, identity, deployment, and how your team manages AI workloads. Test both routes against your operational needs before deciding.
Confirm model and feature access
Check current model availability, supported features, regions, and account limits. Use the exact model versions and settings needed by your application. Do not assume every interface exposes identical options.
Include the team's setup
Compare authentication, project controls, monitoring, and the work needed to operate each route. An existing cloud environment changes those costs. Price a real integration, not just one successful request in a notebook.
Check credit eligibility
Confirm whether your cloud award or purchased balance covers the chosen service. Keep service exclusions and expiry in the forecast. Compare net costs after eligible benefits, with normal billing included for the period after credits are exhausted.