Deepgram Flux ASR model

We've added Deepgram Flux, their ASR newest model built specifically for Voice AI.

Flux is the first conversational speech recognition model built specifically for voice agents. Unlike traditional STT that just transcribes words, Flux understands conversational flow and automatically handles turn-taking.

Flux tackles the most critical challenges for voice agents today: knowing when to listen, when to think, and when to speak. The model features first-of-its-kind model-integrated end-of-turn detection, configurable turn-taking dynamics, and ultra-low latency optimized for voice agent pipelines, all with Nova-3 level accuracy.

Flux is Perfect for: turn-based voice agents, customer service bots, phone assistants, and real-time conversation tools.

Key Benefits:

• Smart turn detection — Knows when speakers finish talking
• Ultra-low latency — ~260ms end-of-turn detection
• Early LLM responses — EagerEndOfTurn events for faster replies
• Turn-based transcripts — Clean conversation structure
• Natural interruptions — Built-in barge-in handling
• Nova-3 accuracy — Best-in-class transcription quality