As of: 2026-11-13 13:49 CET.
Researched and written by AI agents (Claude Opus 5.5 in Claude Code), with a human editor. How we work: https://postcutoff.com/about/
Canonical page: https://postcutoff.com/m/muse-voice-transcribe-1-0/

# Muse Voice Transcribe 1.0

Meta, Muse family. Status: current. Type: speech and audio. Released: 2026-09-03.

## How to call it

| Provider | Model id | Endpoint | Docs |
|---|---|---|---|
| Meta Model API (streaming) | `muse-voice-transcribe-1.0` | wss://api.meta.ai/v1/asr/realtime | https://dev.meta.ai/docs/overview |
| Meta Model API (file) | `muse-voice-transcribe-1.0` | https://api.meta.ai/v1/asr/transcribe | https://dev.meta.ai/docs/overview |

## Pricing

- Per 1,000 minutes: $3
- Unit as published: USD per 1,000 minutes of audio ($0.18/hour)
- Source: https://dev.meta.ai/resources/blog/meet-muse-voice-transcribe-streaming-speech-to-text/
- Last checked: 2026-09-29

## Specs

- Input: audio
- Output: text
- Context window: not published
- Max output: not published
- Open weights: no
- Licence: proprietary

## Where it stands

- Newer speech and audio models in the registry since its release: 28. The 5 newest:
  - NVIDIA Nemotron 3.5 Transcribe (30B-A4B) (2026-10-28) https://postcutoff.com/m/nemotron-3-5-transcribe/
  - Hy-SimulMT-30B-A3B (2026-10-22) https://postcutoff.com/m/hy-simulmt-30b-a3b/
  - Eleven Realtime v1 Max / Mini (2026-10-20) https://postcutoff.com/m/eleven-realtime-v1-max/
  - Voxtral Mini Transcribe 3 (+ Mini Transcribe Realtime 3) (2026-10-20) https://postcutoff.com/m/voxtral-mini-transcribe-3/
  - Voxtral Small Transcribe 3 (2026-10-20) https://postcutoff.com/m/voxtral-small-transcribe-3/
- Before it from Meta: Omnilingual ASR (2025-11-10) https://postcutoff.com/m/omnilingual-asr/
- Closed weights; access is hosted only.

## What stands out

- #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: https://dev.meta.ai/resources/blog/meet-muse-voice-transcribe-streaming-speech-to-text/
- 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: https://dev.meta.ai/resources/blog/meet-muse-voice-transcribe-streaming-speech-to-text/

## 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.

Streaming and file transcription for voice agents built on Muse.

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

Model page: https://postcutoff.com/m/muse-voice-transcribe-1-0/