Model comparison
Compare Muse Voice Transcribe and Universal-3.5 Pro 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 |
| Universal-3.5 ProAssemblyAI | AssemblyAI | 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.
AssemblyAI's accuracy-focused transcription model for files and live audio, with code-switching, speaker labels, timestamps, and contextual prompting.
Async and realtime routes have different prices, and retention depends on endpoint and account controls. Verify optional feature charges, EU routing, training opt-out, BAA status, and zero-retention eligibility.
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 | Universal-3.5 Pro |
|---|---|---|
| Transcription priceCurrent provider price per audio hour or minute for the listed processing route. | $0.18 / audio hour | $0.21/hour async · $0.45/hour streaming |
| Live or batchWhether the model handles realtime streams, uploaded recordings, or both. | Realtime streaming and long-form audio | Uploaded files and realtime streaming |
| LanguagesProvider-published language coverage, separating trained or advertised coverage from specifically verified languages where needed. | Trained on 70+ languages; 25 specifically verified | 18 languages at launch with native code-switching |
| Speaker labelsWhether the model identifies who spoke and any published speaker limit. | Yes; more than 20 speakers advertised | Yes |
| 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 | Contextual prompting and keyterm prompting |
| Where to use itDirect API, cloud catalog, application, or regional endpoint documented by the provider. | Meta Model API, Meta AI for Mac, Muse Code | AssemblyAI US and EU APIs |
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
AssemblyAI's retention and model-training behavior depends on endpoint, contract, BAA status, EU processing, and opt-out settings. Its docs describe zero-data-retention options for eligible realtime use; verify the exact account configuration.
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. Universal-3.5 Pro: AssemblyAI's accuracy-focused transcription model for files and live audio, with code-switching, speaker labels, timestamps, and contextual prompting.
Consider Muse Voice Transcribe when your priority is Live captions and conversational interfaces. Consider Universal-3.5 Pro when your priority is Meetings and calls with language switching. 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.
