Releasesby GlyphOpenAI GPT-5.6 Sol, GPT-5.6 Terra, and GPT-5.6 Luna now available as Databricks-hosted models
Model Serving now supports OpenAI GPT-5.6 Sol , GPT-5.6 Terra , and GPT-5.6 Luna as Databricks-hosted models. You can access these models using Foundation Model APIs pay-per-token . Customers are responsible for ensuring their compliance with applicable terms .
Also shipped Jul 9, 2026Databricks in July 2026 →
Knowledge Catalog adds SQL Server and PostgreSQL connectors in preview
New connectors extract technical, operational and business metadata from SQL Server and PostgreSQL and import it into Knowledge Catalog entry groups on a schedule.
Retirement for preview models for 2.5 Flash, 2.5 Flash-Lite, and 3.1 Flash-Lite
The following preview model endpoints have been retired and are no longer accessible: gemini-2.5-flash-lite-preview-09-2025 gemini-2.5-flash-preview-05-2025 gemini-3.1-flash-lite-preview See Migrate to the latest Google models for information on how to migrate your project.
Looker Table Row Grouping for table charts enters preview
Table charts can display data hierarchically in groups with new Grouping menu options for appearance. The preview feature is enabled by default.
[Launched] Generally Available: Open AI GPT-5.6 on Azure Databricks
Open AI GPT-5.6 is now available on Azure Databricks. You can use GPT 5.6 (purchased on Microsoft Foundry) via Model Serving Endpoint in Azure Databricks. Through integrations across Foundry and Azure Databricks, you can securely build, deploy, and manage
More from Agent Bricks and Mosaic AIEvery Agent Bricks and Mosaic AI release →
Protobuf tensor input for custom model serving endpoints (Public Preview)
For custom model serving endpoints with a tensor-based input signature, you can now send the request body as a serialized KServe v2 ModelInferRequest with Content-Type: application/x-protobuf , instead of JSON. This feature is in Public Preview and is only available on endpoints deployed after July 9, 2026. See Protobuf tensor input .
Databricks-provided MCP Services will GA soon
Databricks-provided MCP Services for SaaS applications such as Slack, GitHub, Atlassian, and Google Drive will soon be generally available, with both read and write operations enabled by default. Admins and users can disable MCP Services and individual tools in Unity Gateway . See Connect agents to tools with MCP Services .
Google Gemini 2.5 Flash and Pro are scheduled for retirement
Google Gemini 2.5 Flash and Gemini 2.5 Pro will be retired on October 2, 2026. The recommended replacement models are Gemini 3.1 Pro or Gemini 3.5 Flash. See Deprecated and retired models for migration guidance.
Anthropic Claude Sonnet 4 is scheduled for retirement
Anthropic Claude Sonnet 4 will be retired on October 9, 2026. Claude Sonnet 4.6 is the recommended replacement. See Deprecated and retired models for migration guidance.
Restrict access to AI Functions with Unity Catalog permissions (Public Preview)
You can now use Unity Catalog permissions to restrict which task-specific AI Functions your organization can access, independent of foundation model access. Contact your account team to enable this feature. See AI Functions Unity Catalog permissions .
MLflow trace storage in Unity Catalog will soon be available by default for workspaces with the compliance security profile enabled
MLflow trace storage in Unity Catalog tables will be available by default for workspaces with the compliance security profile enabled in mid-August 2026. Store MLflow traces in Unity Catalog tables for scalable, governed trace storage: storage is unlimited, traces are stored in OpenTelemetry (OTel) format, access is governed through Unity Catalog schema and...
MLflow trace storage in Unity Catalog is now generally available
MLflow trace storage in Unity Catalog tables is now generally available. Databricks recommends storing traces in Unity Catalog for new and production workloads: storage is unlimited, traces are stored in OpenTelemetry (OTel) format, access is governed through Unity Catalog schema and table permissions, and you can query traces with SQL, Genie, AI/BI...
Google Gemini 3 Pro is retired
Google Gemini 3 Pro is retired. Gemini 3.1 Pro is the recommended replacement. See Deprecated and retired models for migration guidance.