Releasesby IbisJapanese Numerals on Multilingual Models
UpdateyesterdayUnverifiedAdded Oct 24, 2026
The numerals parameter now formats Japanese ( ja ) on model=nova-3&language=multi , model=nova-3-medical&language=multi , and model=flux-general-multi . Japanese formatting already worked on monolingual requests. Hindi is not supported. See Numerals for the full list of 20 supported languages.
Topics: LLMs
More Deepgram releases
Every Deepgram releaseNova-3 Multilingual Expands to 55 Languages and Adds Language Hinting
model=nova-3&language=multi now serves a new Nova-3 multilingual model that transcribes 55 languages with a single model. Code-switching and per-word language tags work as before, on the same /v1/listen endpoints, for both pre-recorded and streaming audio.
Availability
The new Nova-3 multilingual model is now available through our API. To access: Use model=nova-3&language=multi on https://api.deepgram.com/v1/listen (pre-recorded) or wss://api.deepgram.com/v1/listen (streaming) For self-hosted customers, please request the updated models for download from your Deepgram account representative.
Container Images (release 261020)
- quay.io/deepgram/self-hosted-api:release-261020 Equivalent image to: quay.io/deepgram/self-hosted-api:1.192.55 quay.io/deepgram/self-hosted-engine:release-261020 Equivalent image to: quay.io/deepgram/self-hosted-engine:3.140.1 Minimum required NVIDIA driver version: >=580 , open kernel module flavor.
FIPS 140-3 Images
FIPS 140-3 images are available for all four self-hosted services, published under the -fips tag suffix: quay.io/deepgram/self-hosted-api:release-261020-fips Equivalent image to: quay.io/deepgram/self-hosted-api:1.192.55-fips quay.io/deepgram/self-hosted-engine:release-261020-fips Equivalent image to: quay.io/deepgram/self-hosted-engine:3.140.1-fips...
This Release Contains The Following Changes
- New Flux STT Runtime (action required) , Engine now runs Flux STT on a new runtime that loads only the .dgv2 Flux model files, for both flux-general-en and flux-general-multi . The new runtime does not use previously delivered .dg Flux model files: with only a .dg file present and [flux] enabled, Engine exits at startup with Can't find Flux model .
Confirm Nova-3 Configure Updates
Know when a mid-stream update takes effect. Deepgram now answers every Configure message on a /v1/listen stream with exactly one ConfigureSuccess or ConfigureFailure message.
Update Nova-3 Keyterms Mid-Stream on Every Regional Endpoint
Mid-stream keyterm updates with Configure on /v1/listen now work on the EU ( api.eu.deepgram.com ), Australia ( api.au.deepgram.com ), and India ( api.in.deepgram.com ) regional endpoints , as well as the global endpoint ( api.deepgram.com ). They behave the same on every endpoint.
Update Nova-3 Keyterms Mid-Stream from the SDKs, Play Audio from the CLI, and Deepgram Skills v1.7.0
Deepgram Python SDK v7.13.0 , JavaScript SDK v5.15.0 , and Java SDK v0.11.1 let you reconfigure an active Nova-3 stream without reconnecting, including keyterms and numerals, and add custom Think-provider messages for Voice Agent sessions.
Also shipped on Oct 23, 2026
Deepgram in October 2026Retrieve Cortex Search (Public Preview)
The CORTEX_SEARCH_RETRIEVE table function is now in public preview, allowing users to execute low-latency search queries directly from SQL for RAG and chatbot applications.
DataFrame caching on serverless compute is now in Public Preview
Databricks now supports DataFrame caching on serverless compute via df.cache() or df.persist(), allowing users to reuse results within a session.
Box Audit Logs managed ingestion connector (Beta)
The Box Audit Logs connector for Lakeflow Connect is now available in beta, enabling the ingestion of enterprise audit events into Databricks.
Manage Test Engine workflows with Terraform and the REST API
Users can now manage Test Engine workflows using the buildkite_test_suite_workflow Terraform resource or the REST API, enabling code-based configuration of monitors and actions.
Flagship - Target Flagship feature flags with structured evaluation context
Flagship now supports nested objects and arrays in evaluation context, allowing developers to target feature flags based on complex user profiles and tags.
Responses API for the Cortex REST API (Preview)
The new Responses API in the Cortex REST API provides OpenAI-compatible endpoints for accessing models.