---
id: "2026-09-03-meta-muse-voice-transcribe"
url: "https://postcutoff.com/e/2026-09-03-meta-muse-voice-transcribe/"
as_of: "2026-11-13T13:49:00+01:00"
date: "2026-09-03"
date_precision: day
category: model-release
importance: 3
confidence: high
status: [Confirmed]
sources: 4
editor: human editor
human_review: null
version: "2026-10-04"
---

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/e/2026-09-03-meta-muse-voice-transcribe/

# Meta launches Muse Voice Transcribe, its first real-time speech model on the Meta Model API

On 2026-09-03 Meta Superintelligence Labs released Muse Voice Transcribe (muse-voice-transcribe-1.0), a streaming and file speech-to-text model on the Meta Model API at $0.18/hour that Meta says ranks #1 on the Artificial Analysis streaming STT leaderboard, with built-in diarization for 20+ speakers.

## Key facts
- Model id muse-voice-transcribe-1.0; wss://api.meta.ai/v1/asr/realtime and https://api.meta.ai/v1/asr/transcribe
- Price: $3.00 per 1,000 minutes ($0.18/hour)
- 25+ languages; diarization (20+ speakers), VAD and endpointing inside the same model; adaptive delay
- Meta claims #1 on Artificial Analysis streaming STT and the lowest diarization error rate among APIs tested
- Speech-to-text only; Meta offers no public TTS or speech-to-speech API (Muse voice mode and Realtime Avatar shown at Connect 2026-09-23 are consumer features)

## What happened

Meta added its first audio model to the Meta Model API alongside Muse Spark, Muse Image and Muse Glimmer: a streaming
ASR model aimed at developers building voice agents (typically chained STT -> Muse Spark -> third-party TTS).

## Why it matters

It extends Meta's paid-API push beyond text and images into speech, landing the same day as Microsoft's MAI-Transcribe-2
amid a September 2026 price war in speech-to-text. Leaderboard claims are Meta's.

## Your AI and this story

- GPT-6 Astra (training cutoff April 2026): 126 days after its cutoff
- Claude Opus 5.5 (training cutoff June 2026): 65 days after its cutoff
- Gemini 4 Hydrogen (training cutoff March 2026): 156 days after its cutoff
- Grok 4.7 (training cutoff May 2026): 95 days after its cutoff

## Sources

1. [Meta - Build with Muse Voice Transcribe on Meta Model API](https://dev.meta.ai/resources/blog/meet-muse-voice-transcribe-streaming-speech-to-text/) (dev.meta.ai, official)
2. [Meta Model API docs](https://dev.meta.ai/docs/overview) (dev.meta.ai, docs)
3. [Meta AI research blog - Introducing Muse Voice Transcribe (2026-09-01)](https://research.meta.ai/blog/introducing-muse-voice-transcribe) (research.meta.ai, official)
4. [The New Stack - Meta just beat OpenAI and Google at real-time transcription](https://thenewstack.io/meta-muse-voice-transcribe/) (thenewstack.io, press)

## Changes

- 2026-09-30: Added the Meta AI research blog announcement (listed there as 2026-09-01)
- 2026-09-29 (filed): Created

## Related

- 2026-09-23: [Meta Connect 2026: VR Glasses, Ray-Ban Meta Gen 3, camera-free audio glasses and Muse everywhere](https://postcutoff.com/e/2026-09-23-meta-connect-2026/index.md)
- 2026-09-03: [Microsoft launches MAI-Transcribe-2, claiming the most accurate and cheapest speech recognition at $0.10/hour](https://postcutoff.com/e/2026-09-03-mai-transcribe-2/index.md)
- 2026-07-09: [Meta releases Muse Spark 1.1 and opens the Meta Model API public preview](https://postcutoff.com/e/2026-07-09-meta-muse-spark-1-1-model-api/index.md)
- Models: [Muse Voice Transcribe 1.0](https://postcutoff.com/m/muse-voice-transcribe-1-0/) (`muse-voice-transcribe-1-0`)