xAI has made its Grok models available on Google Cloud Vertex AI and the Gemini Enterprise Agent Platform. This integration allows users to access Grok models via an OpenAI-compatible API, including the Responses API and Chat Completions.
Key Points
- Grok models can be used on Google Cloud Vertex AI and the Gemini Enterprise Agent Platform.
- Access to Grok models is provided through an OpenAI-compatible API.
- The integration supports both the Responses API and Chat Completions.
- Models are enabled via Google Cloud's Model Garden.
- Users can select specific Grok models, such as Grok 4.2 or Grok 4.3, from Model Garden.
- Model availability on Vertex AI generally aligns with the xAI API, subject to Google Cloud regional availability and quotas.
Context
According to xAI documentation, the integration offers enterprise security, governance, and unified billing for accessing Grok models. Users need an active Google Cloud Platform project with billing enabled and appropriate permissions to enable APIs and access Model Garden. The aiplatform.googleapis.com API must be enabled, and the Google Cloud CLI (gcloud) installed and authenticated for Application Default Credentials.
Why It Matters
This integration provides Google Cloud users with direct access to xAI's Grok models within a managed platform, potentially simplifying deployment and management for enterprises. Builders can leverage existing Google Cloud infrastructure and billing for Grok model usage.
What To Do
- Review the xAI documentation for setting up Grok models on Google Cloud Vertex AI.
- Navigate to Google Cloud's Model Garden and search for "Grok" to explore available models.
- Examine the model cards for Grok 4.2 or Grok 4.3 to understand capabilities, quotas, pricing, and regional availability.
- Note the required prerequisites, including GCP project setup and API enablement, before attempting deployment.