Data as of October 17, 2026 · How the score is built
Released Sep 1, 2026N/A contextMeta model documentation
Muse Voice Transcribe
Decision readingMuse Voice Transcribe is tracked, but not publicly ranked yet. Published speech or voice results from Muse Voice Transcribe launch evaluation appear below. They do not produce a weighted text-model score.
Released Sep 1, 2026 — see all recent releases
Voice benchmark evidence
Muse Voice Transcribe launch evaluation is an owner-defined voice evaluation. Its result stays separate from BenchLM's weighted text-model ranking.
Lineage
The sequence follows explicit supersedes links. Each score is estimated for that model; a relative can inform a sparse estimate but never sets a floor, so a newer release can score below an earlier one. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.
Base entry
Spec sheet
Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.
- API model ID
- Not publishedMeta model documentation
- Context window
- N/A
- Maximum output
- Not sourced yet
- Knowledge cutoff
- Not sourced yet
- Input modalities
- Not sourced yet
- Output modalities
- Not sourced yet
- Parameters
- Not disclosed by the provider
- Availability
- Available through Meta Model API, Meta AI for Mac, and Muse Code as of September 1, 2026.
- Cloud regions
- Not tracked yet
- Lifecycle
- Current
- API capabilities
- Tool calling, structured outputs, and batch support are not tracked yet
- Prompt caching
- Not documented in the pricing recordMeta model documentation
- Self-host
- Weights are not published
- Rate limits
- Not tracked yet
How to read this profile
The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.
We track Muse Voice Transcribe, but no weighted text-model benchmark result is published on the site yet. This page shows the metadata and separate protocol evidence we can verify now; a BenchLM score will appear only if compatible public evaluations land.
Muse Voice Transcribe is a proprietary model with a N/A context window. No explicit reasoning mode is documented in this profile.
Available through Meta Model API, Meta AI for Mac, and Muse Code as of September 1, 2026.
Muse Voice Transcribe is a display-only streaming audio-perception model. Meta’s launch evaluation remains separate from BenchLM’s weighted text-model ranking.
Speech or voice evidence appears above; text-model benchmark coverage remains empty.
Last updated October 17, 2026. Runtime fields remain blank until a sourced snapshot exists.
Questions
How does Muse Voice Transcribe perform overall in AI benchmarks?
Muse Voice Transcribe has published speech or voice results in Muse Voice Transcribe launch evaluation. Those results remain separate from the weighted text-model ranking, so this profile does not assign a BenchLM score or overall rank. Use the linked evaluation's metric and run conditions to compare speech systems.
Does Muse Voice Transcribe have full benchmark coverage on BenchLM?
No. Muse Voice Transcribe's speech or voice results appear in Muse Voice Transcribe launch evaluation, but it has no published text-model benchmark rows. The voice evaluation does not fill the text-model coverage slots or produce an overall rank. Missing text coverage is not treated as a zero score.
What is the context window size of Muse Voice Transcribe?
Muse Voice Transcribe has a reported context window of N/A in the exact-model catalog record. The value stays visible, but the profile marks its source link as unavailable instead of presenting it as directly documented. Maximum output length remains separate because providers often publish a different limit.