OpenAIMeta Superintelligence LabsAudio matchupSpeech to text
GPT-Live-Transcribevs.Muse Voice Transcribe
Which model is better?
GPT-Live-Transcribe is slightly ahead in independent tests, but the lead is not certain.
Pick GPT-Live-Transcribe for
Pick Muse Voice Transcribe for
Shared tests
Independent evaluators and leaderboards only, the newest shared snapshot per evaluator. With 95 % ranges a lead counts when they do not overlap; for hit rates, when it holds in a 95 % test. Without any uncertainty figure at most “slightly ahead”.
Vals AI
GPT-Live-Transcribe slightly aheadGPT-Live-Transcribe is clearly ahead in 0 of 3 subtests and slightly in 3, Muse Voice Transcribe in none.
VoiceCodeBench · WER
lower is better, as of October 31, 2026
VoiceCodeBench · Overall
as of October 31, 2026
VoiceCodeBench · CTEM
as of October 31, 2026
Source · latest October 31, 2026
All data side by side
Prices are verbatim from the provider, because audio models bill per minute, character or token.
| GPT-Live-Transcribe | Muse Voice Transcribe | |
|---|---|---|
| Task | Speech to text | Speech to text |
| Developer | OpenAI | Meta Superintelligence Labs |
| Status | Active | Active |
| Released | July 28, 2026 | September 1, 2026 |
| Weights | proprietary | n/a |
| Runs locally | no | no |
| Price | $0.017 per audio minute | $0.18 per audio hour ($3 per 1,000 audio minutes) |
| Popularity (out of 100) | 39 | 0 |