Model comparison
Compare Muse Voice Transcribe and Chirp 3 using the same provider-sourced speech recognition & transcription rubric. No mystery score and no invented benchmark ranking.
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) |
|---|---|---|
| Chirp 3Google Cloud | Google Cloud | No reviewed rate |
| Muse Voice TranscribeMeta | Meta | 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.
Google Cloud's general speech-to-text model for streaming, file, and low-cost dynamic-batch transcription across many languages and regions.
Check the Chirp 3 table for your precise language and region. Speaker labels, timestamps, adaptation, and batch behavior have route-specific constraints that a single coverage number can hide.
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 | Chirp 3 |
|---|---|---|
| Transcription priceCurrent provider price per audio hour or minute for the listed processing route. | $0.18 / audio hour | $0.016/min standard · $0.003/min dynamic batch |
| Live or batchWhether the model handles realtime streams, uploaded recordings, or both. | Realtime streaming and long-form audio | Streaming, synchronous, and batch |
| LanguagesProvider-published language coverage, separating trained or advertised coverage from specifically verified languages where needed. | Trained on 70+ languages; 25 specifically verified | 85+ languages and locales |
| Speaker labelsWhether the model identifies who spoke and any published speaker limit. | Yes; more than 20 speakers advertised | Supported for a documented subset of languages |
| TimestampsAvailable word-, segment-, or utterance-level timing information. | Streaming transcript timing and endpointing | Word-level timestamps with route constraints |
| Vocabulary controlKeyword boosting, custom spelling, context, prompting, or other ways to improve domain terms. | Language, keyword, and context biasing; code-switching | Speech adaptation, custom vocabulary, language detection, denoising |
| Where to use itDirect API, cloud catalog, application, or regional endpoint documented by the provider. | Meta Model API, Meta AI for Mac, Muse Code | Google Cloud Speech-to-Text V2 |
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
Google says Speech-to-Text content is not used beyond providing the service unless the customer opts into data logging. Streaming and synchronous content is handled in memory; asynchronous results may be retained temporarily as documented.
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. Chirp 3: Google Cloud's general speech-to-text model for streaming, file, and low-cost dynamic-batch transcription across many languages and regions.
Consider Muse Voice Transcribe when your priority is Live captions and conversational interfaces. Consider Chirp 3 when your priority is Multilingual cloud 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.
