Releasesby GlyphAnthropic Claude Opus 5 now available as a Databricks-hosted model
Databricks Model Serving now supports Anthropic Claude Opus 5 as a Databricks-hosted model. To access this model, use: Foundation Model APIs pay-per-token Query reasoning models Query vision models
Also shipped Jul 24, 2026Databricks in July 2026 →
Skill and plugin sharing in CoCo (Public Preview)
Skill and plugin sharing is now available in public preview. Share, discover, and govern CoCo skills and plugins across your Snowflake account. Publish them as Cortex Extension objects that teammates can find and install, with administrator certification, access control, and usage telemetry. For more information, see Share skills and plugins .
Knowledge Catalog governance workflows for data product access in preview
Governance workflows add automated controls for data product access management through a request-review mechanism.
Claude Opus 5 launches with a 1M token context window at $5 / $25 per MTok
Claude Opus 5 improves on Opus 4.8 with a 1M token context window, 128k max output and thinking on by default, at the same $5 / $25 per MTok price. It is available on the Claude API, Bedrock, Google Cloud and Microsoft Foundry.
Mid-conversation tool changes enter beta on the Claude API
Add or remove tools between turns while preserving the prompt cache on Claude Fable 5, Mythos 5, Opus 4.8 and Opus 5, using the mid-conversation-tool-changes-2026-07-01 beta header.
Claude API fallbacks parameter adds a default mode for recommended fallbacks
The default mode applies Anthropic's recommended fallback models by refusal category. Server-side fallback is in beta and this mode requires the server-side-fallback-2026-07-01 header.
Fast mode removed for Claude Opus 4.7
Requests to claude-opus-4-7 with speed fast now return an error rather than falling back to standard speed. The model stays available at standard speed; migrate to Opus 5 or Opus 4.8 to keep fast mode.
More from Agent Bricks and Mosaic AIEvery Agent Bricks and Mosaic AI release →
Priority pay-per-token for Foundation Model APIs
Priority pay-per-token, also referred to as priority mode, for Foundation Model APIs pay-per-token is generally available for partner models and in preview for open source models. Priority mode is for latency-sensitive, real-time applications that need more consistent availability under load.
Google Gemini 3.6 Flash now available as a Databricks-hosted model
Model Serving now supports Google Gemini 3.6 Flash as a Databricks-hosted model. You can access this model using Foundation Model APIs . Customers are responsible for ensuring their compliance with applicable terms .
Google Gemini 3.5 Flash Lite now available as a Databricks-hosted model
Model Serving now supports Google Gemini 3.5 Flash Lite as a Databricks-hosted model. You can access this model using Foundation Model APIs . Customers are responsible for ensuring their compliance with applicable terms .
Upcoming general availability of Unity Gateway
Unity Gateway, the Databricks governance solution for enterprise AI, is scheduled for general availability soon. Built on Unity Catalog, Unity Gateway extends governance to the runtime interactions between models, agents, MCP servers, and tools.
Use Unity Gateway with your own Claude enterprise subscription
Route Claude Code through Unity Gateway using an existing Claude Pro, Max, Enterprise, or Team subscription, at no additional model cost, while your organization keeps centralized governance, usage tracking, and access control.
Connect and govern any external model provider
Connect and govern any external model provider (such as OpenAI, Anthropic, Amazon Bedrock, and newly released models like Meta's Muse Spark 1.1) through Unity Gateway. Register a provider once as a governed Unity Catalog securable, and every team can query it through Unity Gateway with full governance and observability.
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...