Model comparison
Compare Muse Voice Transcribe and Scribe v2 using the same provider-sourced speech recognition & transcription rubric. No mystery score and no invented benchmark ranking.
Facts checked September 4, 2026
Set your usage. Your estimate updates as you type.
Uses the recording length in hours: 30 minutes = 0.5 hours. Extra features and minimum charges may change the bill.
Estimates exclude taxes, tools, cache storage/writes, free allowances and custom discounts. Image estimates cover output only, not prompt or reference-image charges. Quality modes differ by model. Unlisted settings are not treated as free.
| Model | Access | Estimated total (USD) |
|---|---|---|
| Muse Voice TranscribeMeta | Meta | No reviewed rate |
| Scribe v2ElevenLabs | ElevenLabs | No reviewed rate |
Quick take
Meta's streaming speech-recognition model for live captions, long audio, many speakers, code-switching, and domain-aware transcription.
The Model API is in public preview, and the public demo's privacy statement is not a complete API data policy. Confirm endpoint regions, retention, training use, and the exact supported language list before launch.
ElevenLabs' multilingual speech-to-text model for detailed transcripts with many speakers, word timing, audio events, and large custom keyterm lists.
Do not assume batch and realtime are the same route or price. Zero-data-retention is conditional rather than automatic, so verify the plan, endpoint, region, and enable_logging behavior before processing sensitive audio.
Compare the published facts
Values use each provider's own published units and limits. A blank means the provider did not publish a directly comparable value in the sources reviewed.
| Speech recognition & transcription | Muse Voice Transcribe | Scribe v2 |
|---|---|---|
| Transcription priceCurrent provider price per audio hour or minute for the listed processing route. | $0.18 / audio hour | $0.22 / audio hour; realtime listed separately |
| Live or batchWhether the model handles realtime streams, uploaded recordings, or both. | Realtime streaming and long-form audio | Batch and long audio; separate realtime route |
| LanguagesProvider-published language coverage, separating trained or advertised coverage from specifically verified languages where needed. | Trained on 70+ languages; 25 specifically verified | 90+ languages |
| Speaker labelsWhether the model identifies who spoke and any published speaker limit. | Yes; more than 20 speakers advertised | Up to 32 speakers |
| TimestampsAvailable word-, segment-, or utterance-level timing information. | Streaming transcript timing and endpointing | Word-level timestamps |
| Vocabulary controlKeyword boosting, custom spelling, context, prompting, or other ways to improve domain terms. | Language, keyword, and context biasing; code-switching | Up to 1,000 keyterms; audio tags and language detection |
| Where to use itDirect API, cloud catalog, application, or regional endpoint documented by the provider. | Meta Model API, Meta AI for Mac, Muse Code | ElevenLabs Speech-to-Text API |
How to choose
Start with the job you need to complete, then validate cost, access, and policy details on your exact provider route.
Meta's launch page describes privacy for its public demo, not a complete Model API retention or training-use commitment. Review current Model API terms and enterprise controls before sending sensitive audio.
Provider and API links
ElevenLabs lets eligible API customers manage data-use preferences. Zero-data-retention through enable_logging=false is limited to qualifying enterprise configurations and supported models, including Scribe v2; verify the live plan and regional endpoint.
Provider and API links
Frequently asked questions
Muse Voice Transcribe: Meta's streaming speech-recognition model for live captions, long audio, many speakers, code-switching, and domain-aware transcription. Scribe v2: ElevenLabs' multilingual speech-to-text model for detailed transcripts with many speakers, word timing, audio events, and large custom keyterm lists.
Consider Muse Voice Transcribe when your priority is Live captions and conversational interfaces. Consider Scribe v2 when your priority is Multilingual media transcription. Test both with your own data and provider route before committing.
No. This comparison aligns provider-published facts for the Speech recognition & transcription category. It does not claim a universal winner or combine incompatible third-party benchmark scores.
