Decision summary
- Need a talking agent -> GPT-Live-1
- Need transcripts only -> Muse Voice Transcribe
- Need hosted Google ASR -> Gemini 3.5 Transcribe
- Need ChatGPT free voice -> GPT-Live-1 mini in ChatGPT, not this API
Voice conversation vs ASR comparison
Frontier comparisonGPT-Live-1 vs Muse Voice Transcribe
GPT-Live-1 is OpenAI's full-duplex voice model for spoken conversation.
Featured · Updated 6 weeks ago · Last verified: September 2026
Choose GPT-Live-1 when
Full-duplex voice agents and ChatGPT-style spoken conversation in an app.
Choose Muse Voice Transcribe when
Official Meta ASR: speech in, text out.
- Need a talking agent: GPT-Live-1
- Need transcripts only: Muse Voice Transcribe
- Need hosted Google ASR: Gemini 3.5 Transcribe
Decision axes: Best for · Access · Job class · Cost posture
Reasoning
Live delegates reasoning. Muse returns text for a model you already run.
Coding
Neither is a coding model. Live can delegate to Codex or another backend.
Multimodal
Live is audio and text. Muse is audio in, text out.
Speed
Live is a continuous session. Muse is a transcription job.
Enterprise
Live is OpenAI API plus backend. Muse is Meta weights and your serving.
Curated matrix for GPT-Live-1 vs Muse Voice 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 | GPT-Live-1 | Muse Voice Transcribe |
|---|---|---|
| Best for | Full-duplex voice agents and ChatGPT-style spoken conversation in an app. | Official Meta ASR: speech in, text out. |
| Access | API ID gpt-live-1 on Live sessions. Paid ChatGPT voice default per the system card. | API ID muse-voice-transcribe-1.0 on Meta Model API. Not a live voice API. |
| Job class | Speech-to-speech front-end. Native transcripts exist, but the product is conversation. | Speech-to-text. It does not speak back. |
| Cost posture | $0.05 per minute billed per second. Backend model and tool usage is extra. | $0.18 per hour of audio. There is no $0.05/min Live session meter. |
| Operational risk | Small live context. Interrupts do not cancel delegated backend work. No image or video. | Wrong pick if you wanted a talking agent. Pair it with TTS if you need audio out. |
Key insights
Concrete technical or product signals.
- Do not treat GPT-Live-1 as an ASR replacement or Muse Voice as a ChatGPT Voice clone.
- GPT-Live-1 mini is the ChatGPT free voice default. It has no API model card and is not a third row here.
- For hosted ASR vs ASR, use Muse Voice Transcribe vs Gemini 3.5 Transcribe.
Use cases
Where this shines in production.
- Picking a voice agent front-end vs an ASR model
- Migrating a chained STT → LLM → TTS stack
- Deciding whether Muse Voice coverage is enough
Limitations & trade-offs
What to watch for.
- Not vs Gemini 3.5 Transcribe.
- Not vs Whisper.
- Not vs ChatGPT Sites.
Watch-outs
Who should pass, and what to validate before rollout.
- Do not pick Live for batch transcription.
- Do not pick Muse for a voice agent.
- Do not invent GPT-Live-1 mini in the API.
Final recommendation
What to do after reading the table.
Start with the job. Conversation is GPT-Live-1. Transcripts are Muse or Gemini Transcribe.
FAQ
Is GPT-Live-1 better than Muse Voice Transcribe?
Start with the job. Conversation is GPT-Live-1. Transcripts are Muse or Gemini Transcribe.
Which is cheaper: GPT-Live-1 or Muse Voice Transcribe?
Listed unit prices: GPT-Live-1 $0.05 per minute billed per second. Backend model and tool usage is extra; Muse Voice Transcribe $0.18 per hour of audio. There is no $0.05/min Live session meter. 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 GPT-Live-1 and Muse Voice Transcribe?
Yes. Many teams keep both and route by constraint. Use GPT-Live-1 for Full-duplex voice agents and ChatGPT-style spoken conversation in an app, and Muse Voice Transcribe for Official Meta ASR: speech in, text out. Confirm vendor terms before mixing them in one production workflow.