For AI agents: a documentation index is available at the root level at /llms.txt and /llms-full.txt. Append /llms.txt to any URL for a page-level index, or .md for the markdown version of any page.
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HomeAPI ReferenceVoice AgentSpeech-to-TextText-to-SpeechIntelligenceSelf-Hosted Deployments
HomeAPI ReferenceVoice AgentSpeech-to-TextText-to-SpeechIntelligenceSelf-Hosted Deployments
    • Getting Started with Speech to Text
  • Pre-Recorded Audio
    • Getting Started
    • Feature Overview
    • Template Apps
  • Streaming Audio
    • Compare Flux to Nova-3
  • Models and Languages
    • Models & Languages Overview
    • Languages Support
    • Language Detection
    • Multilingual Codeswitching
    • Model Options
    • Version
  • Formatting
    • Speaker Diarization
    • Dictation
    • Filler Words
    • Measurements
    • Numerals
    • Paragraphs
    • Profanity Filtering
    • Punctuation
    • Redaction
    • Smart Formatting
    • Supported Entity Types
    • Utterances
    • Utterance Split
  • Custom Vocabulary
    • Find and Replace
    • Keyterm Prompting
    • Keywords
    • Search
  • Media Input Settings
    • Channels
    • Encoding
    • Multichannel
    • Sample Rate
  • Results Processing
    • Understanding Word Confidence Scores
    • STT Callback
    • STT Tagging
    • Extra Metadata
  • Migrating
    • Migrating From Amazon Web Services (AWS) Transcribe to Deepgram
    • Migrating From Google Speech-to-Text (STT) to Deepgram
    • Migrating From OpenAI Whisper to Deepgram
    • Migrating from AssemblyAI Speech-to-Text to Deepgram
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On this page
  • Feature Matrix Comparison
  • Use Cases
  • Language Support
  • Technical Details
  • Conversation Features
  • Transcription Features
  • Connection Management
Streaming Audio

Compare Flux to Nova-3

Compare Flux to Nova-3 to understand the differences so you can choose the right model for your use case.

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Models & Languages Overview

An overview of Deepgram’s speech-to-text models and supported languages.

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Feature Matrix Comparison

It’s important to understand the differences between Flux and Nova-3 so you can choose the right model for your use case. Below is a feature matrix comparison to help you understand the differences.

Use Cases

FeatureFluxNova-3
Voice Agents✅✅
IVR Systems✅✅
Agent Assist✅✅
Real-time Transcription✅✅
Meeting Transcription🚫✅
Event Captioning🚫✅
Pre-recorded Audio🚫✅
Call Analytics🚫✅

Language Support

FeatureFluxNova-3
English✅✅
Multilingual (10 languages)✅ flux-general-multi (Language Prompting)✅ See language support
54 languages🚫✅
Language controllanguage_hint parameterlanguage parameter
Code-switching✅ Native with flux-general-multi✅ With language=multi

Technical Details

FeatureFluxNova-3
Self-hosted Availability✅✅
Endpoint/v2/listen/v1/listen

Conversation Features

FeatureFluxNova-3
Start of Turn✅🚫
Speech Resumed✅🚫
End of Turn✅🚫
Eager End of Turn✅🚫

Transcription Features

FeatureFluxNova-3
Word Times🚫✅
Smart Formatting🚫✅
Speaker Diarization🚫✅
Filler Words✅ Transcribed by default🚫
Profanity Filtering🚫✅
Redaction🚫✅
Find and Replace🚫✅
Keyterm Prompting✅✅
Search🚫✅
Turn-based Transcription✅🚫

Connection Management

FeatureFluxNova-3
Endpointing + Utterance End✅ (Replaced by model integrated turn detection)✅
Interim Results✅ (Replaced by Update Messages)✅
Keep Alive✅ (Replaced by pings, 60s timeout)✅ (12s timeout)