Meta: Muse Voice Transcribe 1.0

meta/muse-voice-transcribe-1.0

Our take

AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.

According to the OpenRouter catalog, meta/muse-voice-transcribe-1.0 is Meta's synchronous speech-to-text model, accepting audio and returning a transcription. The catalog describes it as suited to push-to-talk interactions, endpointing, and speaker-aware transcription, with keyword biasing for domain terminology and language biasing; the language-biasing details are truncated in the supplied record. No measured performance results or independent model card were included, so these capabilities should be treated as source-reported and validated against the intended workload.[1]

Strengths

Provides a synchronous audio-to-transcription workflow, according to the catalog.[1]
The catalog positions it for push-to-talk, endpointing, and speaker-aware transcription.[1]
It reportedly supports keyword biasing for domain terms and language biasing.[1]

Limitations

Only OpenRouter catalog evidence was supplied; an independent model card was unavailable.[1]
No benchmark measurements were provided, so accuracy, latency, and robustness require workload validation.[1]
Supported languages, audio formats, duration limits, and integration constraints are not specified.[1]

Where to use it

Consider piloting it for push-to-talk or request-response dictation workflows.[1]
Evaluate it for transcription flows that need endpointing or speaker awareness.[1]
Test it where domain-term keyword biasing or language biasing may be useful.[1]

Sources

[1] OpenRouter catalog · Meta: Muse Voice Transcribe 1.0Sources checked: Nov 13, 2026

About this model

Description below is the original text supplied by OpenRouter, shown in the source language.

Muse Voice Transcribe 1.0 is a synchronous speech-to-text model from Meta. It is suited for push-to-talk, endpointing, and speaker-aware transcription, with keyword biasing for domain terms and language biasing through...

Specifications

Model ID: meta/muse-voice-transcribe-1.0
Canonical ID: meta/muse-voice-transcribe-1.0-20260903
Creator: meta
Added to OpenRouter: 11.09.2026
Context length: 0
Modality: audio->transcription
Input modalities: audio
Output modalities: transcription
Token pricing: No per-token price in the source snapshot — see OpenRouter for the billing unit
Knowledge cutoff: —
Expiration date: —

Tasks and capabilities

A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.

Task	Grade	Source-declared capability
General quality	No measurement	—
Coding	No measurement	—
Agents	No measurement	—
Writing	No measurement	—
Reasoning	No measurement	—
Document analysis	No measurement	—
Vision	No measurement	—
Image generation	No measurement	—
Audio	No measurement	input: audio
Video	No measurement	—
Embeddings	No measurement	—

Evaluations

No evaluations are supplied for this model.

How grades work

Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.

S — S — top 10% of the cohort
A — A — next 20% of the cohort
B — B — next 30% of the cohort
C — C — below the B band

Providers

Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.

Provider	Context length	Price in /1M	Price out /1M	Latency p50 (30m, s)	Throughput p50 (30m, tok/s)	Uptime (30m)
Meta	0	—	—	—	—	100%

Provider data retrieved: 13.11.2026

No published articles identify this model yet.