OpenAIMeta Superintelligence LabsAudio matchupSpeech to text
GPT-Realtime-Whispervs.Muse Voice Transcribe
Which model is better?
Muse Voice Transcribe is slightly ahead in independent tests, but the lead is not certain.
Pick GPT-Realtime-Whisper 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”.
Pipecat STT Benchmark
Muse Voice Transcribe slightly aheadMuse Voice Transcribe is clearly ahead in 0 of 2 subtests and slightly in 2, GPT-Realtime-Whisper in none.
Pipecat STT Benchmark semantic pooled WER
lower is better, as of October 16, 2026
Pipecat STT Benchmark semantic WER mean
lower is better, as of October 16, 2026
Source · latest October 16, 2026
All data side by side
Prices are verbatim from the provider, because audio models bill per minute, character or token.
| GPT-Realtime-Whisper | Muse Voice Transcribe | |
|---|---|---|
| Task | Speech to text | Speech to text |
| Developer | OpenAI | Meta Superintelligence Labs |
| Status | Active | Active |
| Released | n/a | 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) | 34 | 0 |