Releasesby Glyph🆕 Improved Models
Batch models Ukrainian ( uk ) Catalan ( ca ) Turkish ( tr ) Romanian ( ro ) Finnish ( fi ) Malay ( ms ) Greek ( el ) German ( de ) Dutch ( nl ) French ( fr , fr-CA ) Streaming models Catalan ( ca ) Turkish ( tr ) Malay ( ms ) You do not need to change your API requests to access these improvements; the updates are live for all users.
Also shipped Jul 16, 2026Deepgram in July 2026 →
DCM Projects: New capabilities (Preview)
DCM Projects now supports the following capabilities in preview: For more information, see Supported object types in DCM Projects and Deploy and manage DCM Projects .
VOLATILE scalar UDFs are supported with dynamic table incremental refresh (General availability)
VOLATILE scalar user-defined functions (UDFs) are now supported with dynamic table incremental refresh in INCREMENTAL, AUTO, and ADAPTIVE refresh modes. This applies to scalar UDFs written in Python, Java, Scala, JavaScript, and SQL. For incremental refresh, VOLATILE UDFs are supported only in the SELECT clause.
Scala and Java UDFs in Unity Catalog are now generally available
Register Scala and Java user-defined functions (UDFs) in Unity Catalog and reuse them across notebooks, jobs, and SQL warehouses with Unity Catalog governance. Reuse existing JVM logic and get better performance than Python UDFs on all compute, including serverless. See Scala and Java user-defined functions (UDFs) in Unity Catalog .
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...
Agentic code converter is in Beta
The agentic code converter is in Beta . Use it to convert legacy SQL dialects, such as T-SQL, Snowflake, Redshift, Oracle, BigQuery, and Teradata, to ANSI SQL in migration projects in your workspace.
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.
More from DeepgramEvery Deepgram release →
Improved Models Released for Multiple Languages
We have released improved Nova-3 monolingual models for the following languages. These updates enhance transcription quality and accuracy for both batch and streaming workloads.
🆕 Numeral Formatting for Flux
Flux now supports the numerals feature, which converts numbers from written format to numerical format (for example, "nine hundred" becomes "900"). Numerals are available on both Flux models: Flux English ( model=flux-general-en ) , full numeral formatting.
Enabling Numerals
Set numerals=true as a query parameter when you open the WebSocket connection: wss://api.deepgram.com/v2/listen?model=flux-general-en&numerals=true&encoding=linear16&sample_rate=16000 On Flux, numerals is set at connection time only and cannot be changed through the Configure message.
Container Images (release 260714)
- quay.io/deepgram/self-hosted-api:release-260714 Equivalent image to: quay.io/deepgram/self-hosted-api:1.192.5-1 quay.io/deepgram/self-hosted-engine:release-260714 Equivalent image to: quay.io/deepgram/self-hosted-engine:3.119.1-3 Minimum required NVIDIA driver version: >=570.172.08 quay.io/deepgram/self-hosted-license-proxy:release-260714 Equivalent image...
This Release Contains The Following Changes
- Number and Percentage Formatting , decimal values now keep their trailing zeros, so "zero point zero zero percent" renders as 0.00% (previously 0% ); and Malay transcripts now convert spoken numbers to numerals.
New Models Released for Multiple Languages
We have released new Nova-3 monolingual models for the following languages. These additions expand language coverage for both batch and streaming workloads.
🆕 New Models
Batch models Kannada ( kn ) Telugu ( te ) Streaming models Greek ( el ) Kannada ( kn ) Telugu ( te ) You do not need to change your API requests to access these models; the updates are live for all users. For more details and to see the full list of supported languages, visit the Deepgram Supported Languages documentation .
SDK support for Flux numerals
The Flux numerals feature is now available in the JavaScript, Python, and Java SDKs. Set numerals=true when you open a Flux WebSocket connection to convert spoken numbers into their numerical format (for example, "nine hundred" becomes "900"). On Flux, numerals is set at connection time only and cannot be changed through the Configure message.