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Expert Score8.4
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Deepgram•product

Deepgram Flux

World's first conversational STT model with native turn detection, cutting voice agent response time by 200-600ms at $0.0077 per minute.

Expert Rating
8.4/10

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The Analysis

Quick Specs

Latency650
Free Tier Yes
Model TypeNative conversational STT with integrated end-of-turn detection
Sdk SupportPython, JavaScript

Expert Review Summary

Deepgram Flux is the world's first conversational speech recognition model built specifically for real-time voice agents, combining STT and end-of-turn detection in a single neural model. Launched October 2, 2025, Flux eliminates the separate voice activity detection layer that traditional voice agent pipelines require, reducing false interruptions by approximately 30 percent and cutting agent response time by 200 to 600 milliseconds compared to STT plus VAD cascade architectures. Its semantic turn detection understands context rather than silence alone, enabling an optional eager end-of-turn event 150 to 250ms before the standard signal for latency-sensitive applications. Flux is accessed via Deepgram's streaming API at the /v2/listen endpoint with native integrations into Jambonz, Vapi, LiveKit, Pipecat, Cloudflare Workers AI, and Telnyx. Developers supply their own LLM and TTS components, keeping Flux as the purpose-built STT layer priced at $0.0077 per minute for English pay-as-you-go. Flux STT Multilingual, launched April 29, 2026, extends support to 10 languages including English, Spanish, French, German, Hindi, Russian, Portuguese, Japanese, Italian, and Dutch, with native code-switching and mid-conversation language reconfiguration without reconnecting. Deepgram Flux is ideal for voice AI startup founders building outbound calling pipelines or low-latency conversational agents who already have a preferred LLM and TTS and need only a best-in-class STT plus turn detection layer. At $0.0077 per minute for English, it is one of the most cost-effective STT components for high-volume voice workloads, with Telnyx edge deployment removing public cloud hops for further latency reduction.

Technical Specifications

Latency650
Free Tier Yes
Model TypeNative conversational STT with integrated end-of-turn detection
Sdk SupportPython, JavaScript
Sip Support Yes
Stt Accuracy5.7
Tool Calling No
Voice Cloning No
Voice QualityNone
Byo ComponentsLLM, TTS
Reliable Uptime99.5
Multilingual S T T Yes
Concurrency Limit100
Language Coverage10
Pricing Per Minute0.0077
Websocket Streaming Yes
Interruption Handling Yes
Telephony Integration Yes
Emotional Intelligence No

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