Google Gemini 3.8 Flash now available in Databricks Model Serving

Databricks now supports the Google Gemini 3.8 Flash model as a platform-hosted model. You can access it directly through the Foundation Model APIs in your workspace.### Use casesImagine you need to integrate a fast and efficient multimodal model into your AI workflows without managing custom infrastructure. With this release, you can:- Send query requests using pay-per-token endpoints.- Use the model for tasks requiring rapid and efficient responses.### How to useTo query the model, use the chat API in Python with the corresponding endpoint in your code:pythonfrom databricks_sdk import WorkspaceClientw = WorkspaceClient()response = w.serving_endpoints.query( name="gemini-3-8-flash", messages=[{"role": "user", "content": "Hello, how are you?"}])print(response)What happens in this code:1. Initializes the Databricks Workspace client.2. Calls the serving endpoints query method passing the model name.3. Sends a simple text message and prints the response returned by Gemini 3.8 Flash.### Limitations and requirementsUsing hosted models requires customers to ensure compliance with applicable model and platform terms of use.