Built for voice agents that can't wait 600ms

Deepgram: Flux

deepgram/flux
active stt 1 provider
Playground

Conversational speech recognition model built for voice agents, with model-integrated end-of-turn detection and ultra-low latency at Nova-3-level accuracy.

AuthorDeepgram
Languages10 languages
Variant models2 IDs
Statusactive

Variant Models

These are native model IDs accepted by the author/provider for the same canonical model family.

Flux English Default

English-only Flux model; recommended for English workloads.

flux-general-en
Flux Multilingual Variant

Multilingual Flux model (10 languages); the only Flux variant that accepts the language_hint parameter.

flux-general-multi

Providers

Different providers can host the same model. Choose one provider when you need a fixed backend, or let routing select among them.

ProviderSlugPer hourLatencyiFor TTS, latency is measured as time to first byte of audio. For STT, latency is measured as time to first token.ModesUptime
Deepgram 3 params
deepgram
From $0.462
—
Streaming

Supported languages

10 languages
English en
Spanish es
French fr
German de
Hindi hi
Russian ru
Portuguese pt
Japanese ja
Italian it
Dutch nl

Features

Speech to text

Transcribes spoken audio to text.

speech_to_text
Streaming

Flux is a streaming-only (WebSocket) model; no documented prerecorded/synchronous path.

streaming
End-of-turn detection

Model-integrated end-of-turn detection with configurable turn-taking thresholds.

turn_detection

Code

Client
Mode
Language

ElevenLabs SDK streaming STT

Streams microphone or file audio through the ElevenLabs-compatible allmodels route.

import { ElevenLabsClient } from "elevenlabs";

const client = new ElevenLabsClient({
  apiKey: process.env.ALLMODELS_API_KEY,
  baseUrl: "https://api.allmodels.io/el"
});

const connection = await client.speechToText.realtime.connect({
  modelId: "deepgram/flux",
  languageCode: "en"
}, {
  queryParams: {
    provider: {
      "only": [
        "deepgram"
      ]
    }
  }
});

// Send audio frames to connection, then handle transcript events.