Muse Voice Transcribe 1.0: model ids and price

How to call it

2 ways to use Muse Voice Transcribe 1.0, with the model id each provider expects.

Providers, model ids, endpoints and docs for Muse Voice Transcribe 1.0
Provider	Model id	Endpoint	Docs
Meta Model API (streaming)	`muse-voice-transcribe-1.0`	`wss://api.meta.ai/v1/asr/realtime`	dev.meta.ai
Meta Model API (file)	`muse-voice-transcribe-1.0`	`https://api.meta.ai/v1/asr/transcribe`	dev.meta.ai

Pricing

Prices for Muse Voice Transcribe 1.0
Per 1,000 minutes	$3

As published: “USD per 1,000 minutes of audio ($0.18/hour)”.

Source: dev.meta.ai, checked 29 September 2026.

Specs

Input: Audio
Output: Text
Context window: Not published
Max output: Not published
Open weights: No
Licence: Proprietary
Released: 3 September 2026
Status: Current
Type: Speech and audio

What stands out

What its maker marketed at launch, and what people found later, each with its source.

#1 streaming STT on Artificial Analysis (claimed)

Meta says it ranks first on the Artificial Analysis streaming speech-to-text leaderboard and had the lowest average diarization error rate among APIs tested, streaming and offline.

Source: dev.meta.ai
Diarization, VAD and endpointing in one model

Speaker attribution for 20+ speakers, punctuation, speech-boundary detection and adaptive delay (uses more audio context only for ambiguous words).

Source: dev.meta.ai

Notes

Meta’s first real-time audio perception model on the Meta Model API (launched 2026-09-03); 25+ languages. Speech-to-text only: Meta does not offer a TTS or speech-to-speech API; Muse’s realtime voice mode and Muse Realtime Avatar (Connect, 2026-09-23) are consumer features without a documented API.

Sources: https://dev.meta.ai/resources/blog/meet-muse-voice-transcribe-streaming-speech-to-text/ · https://dev.meta.ai/docs/overview