Databricks shipped DeepSeek 4.1 Flash on Unity Gateway the day it launched. On OfficeQA Pro V2 it sits on the Pareto frontier, so teams can point governed Lakehouse data at the model for apps and agents under one access, spend, and performance layer.
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Databricks (@databricks) announces Day-0 access to Gemini 3.8 Flash: it highlights strong internal document parsing and OfficeQA Pro results, runs directly on Lakehouse data with Unity Gateway governance, and supports monitoring, scaling, and routing across custom AI apps.
Databricks engineer Yuchen Jin says Databricks Unity Gateway is coming to developers on Neon (@neondatabase) and calls it the fastest AI Gateway for Kimi K3, noting Databricks inference is moving quickly. For teams building agents/apps on Neon that need low-latency Moonshot Kimi K3 access, this is a new managed gateway path.
Databricks engineering lead Patrick Wendell said Astra is now rolled out to every engineer (N≈3500). Versus prior top models Opus 5 and Sol 5.6, Astra clearly wins on highly complex work—especially high-level system design and long-range horizontal tasks—and engineers with Astra increased overall coding spend by about 60% vs baseline. Gains on medium/low-complexity coding look unclear and may be saturated by earlier models. The company piloted with ~200 users via Unity Gateway cohort experiments, and gives engineers an Astra-specific sub-budget so they use it selectively on hard tasks while preferring cheaper models day to day. A robust Astra-vs-Fable comparison is not available yet because Fable has not been rolled out widely due to data-retention policies.
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