Decision summary

Meta API / Muse Code dictation -> Muse Voice Transcribe
Gemini API / Antigravity -> Gemini 3.5 Transcribe
20+ speakers -> Muse Voice Transcribe
Google custom vocabulary / filler cleanup -> Gemini 3.5 Transcribe
Self-host MIT weights -> Whisper large-v3

Hosted speech-to-text comparison

Frontier comparison

Muse Voice Transcribe vs Gemini 3.5 Transcribe

Name: Muse Voice Transcribe vs Gemini 3.5 Transcribe
Keywords: Hosted speech-to-text comparison

Muse Voice Transcribe is Meta's September 1, 2026 streaming ASR model; Gemini 3.5 Transcribe is Google's August 2026 public-preview speech-to-text SKU.

Featured · Updated 6 weeks ago · Last verified: September 2026

Choose Muse Voice Transcribe when

Meta-stack live captions, many-speaker meetings, and Muse Code / Meta AI Mac dictation.

Choose Gemini 3.5 Transcribe when

Google-stack voice agents, captioning, and Gemini / Antigravity dictation.

Meta API / Muse Code dictation: Muse Voice Transcribe
Gemini API / Antigravity: Gemini 3.5 Transcribe
20+ speakers: Muse Voice Transcribe

Decision axes: Best for · Access · Streaming · Languages

Reasoning

N/A for ASR. Compare WER, latency, and speaker labels on held-out audio.

Coding

Both show up in voice-agent stacks. Test the exact SDK.

Multimodal

Audio in, text out for both.

Speed

Adaptive-delay streaming vs Gemini live ID. Measure time-to-final.

Enterprise

Meta Model API meter vs Gemini preview/enterprise surfaces.

Curated matrix for Muse Voice Transcribe vs Gemini 3.5 Transcribe — confirm live limits and pricing on each vendor’s official pages.

How they compare

Criterion-by-criterion notes from the catalog—not a ranking. Validate on your own gold set.

Criterion	Muse Voice Transcribe	Gemini 3.5 Transcribe
Best for	Meta-stack live captions, many-speaker meetings, and Muse Code / Meta AI Mac dictation.	Google-stack voice agents, captioning, and Gemini / Antigravity dictation.
Access	API ID muse-voice-transcribe-1.0. WebSocket wss://api.meta.ai/v1/asr/realtime and POST /v1/asr/transcribe.	Public preview via Gemini API, AI Studio, Antigravity, and Gemini Enterprise Agent Platform.
Streaming	Streaming ASR with adaptive delay; file transcription uses the same price.	gemini-3.5-transcribe-live for bidirectional streaming; gemini-3.5-transcribe for recorded audio.
Languages	Trained on 70+ languages; Meta recommends 25 extensively verified languages at launch. Native code-switching.	Multilingual ASR; Google cites FLEURS WER of 5.50% streaming and 5.04% non-streaming.
Speakers	Diarization documented for 20+ speakers. Native endpointing tokens.	Pre-recorded speaker attribution documented for up to three speakers; more than three is experimental.
Formatting	Turn-level timestamps. No word-level timestamps, TTS, or emotion labels.	Filler-word cleanup and custom vocabulary are positioned for voice agents.
Cost posture	$0.18 per hour of audio. 8 concurrent streams and 1,000 streams/hour. No contributor tier.	Follow live Gemini API speech pricing; preview status.
Operational risk	Vendor Artificial Analysis rank claims. Not a speech-to-speech API.	Preview surfaces and languages vary by product. Remeasure WER on your domain.

Key insights

Concrete technical or product signals.

Pick the cloud you already authenticate against. These are not drop-in IDs.
Muse documents many more speakers; Gemini documents richer Google-product formatting and a three-speaker preview label.
Self-hosted Whisper remains the MIT alternative in this catalog.

Use cases

Where this shines in production.

Choosing a hosted streaming ASR default
Many-speaker meeting notes vs Google voice agents
Dictation in Muse Code vs Antigravity

Limitations & trade-offs

What to watch for.

Not a Muse Spark vs Gemini Flash page.
WER tables are vendor-reported.
Neither replaces a TTS or speech-to-speech stack.

Watch-outs

Who should pass, and what to validate before rollout.

Do not pick Muse expecting Gemini live tool formatting.
Do not pick Gemini expecting 20+ speaker diarization.
Do not skip a domain audio set.

Final recommendation

What to do after reading the table.

Do not dual-run both in production until WER on your audio is measured. Start with the stack you already have.

FAQ

Is Muse Voice Transcribe better than Gemini 3.5 Transcribe?

Do not dual-run both in production until WER on your audio is measured. Start with the stack you already have.

Which is cheaper: Muse Voice Transcribe or Gemini 3.5 Transcribe?

Listed unit prices: Muse Voice Transcribe $0.18 per hour of audio. 8 concurrent streams and 1,000 streams/hour. No contributor tier; Gemini 3.5 Transcribe Follow live Gemini API speech pricing; preview status. A lower listed unit price is not the same as a lower total workload cost—tokens, session minutes, caching, introductory rates, and add-on modes can reverse the ranking. Confirm live rates on each vendor’s official page.

Can I use both Muse Voice Transcribe and Gemini 3.5 Transcribe?

Yes. Many teams keep both and route by constraint. Use Muse Voice Transcribe for Meta-stack live captions, many-speaker meetings, and Muse Code / Meta AI Mac dictation, and Gemini 3.5 Transcribe for Google-stack voice agents, captioning, and Gemini / Antigravity dictation. Confirm vendor terms before mixing them in one production workflow.