OpenAIMeta Superintelligence LabsAudio matchupSpeech to text
GPT-4o Mini Transcribevs.Muse Voice Transcribe
Which model is better?
Muse Voice Transcribe does better in independent tests, while GPT-4o Mini Transcribe is more popular.
Pick GPT-4o Mini 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”.
Speko
Muse Voice Transcribe aheadMuse Voice Transcribe is clearly ahead in 1 of 3 subtests and slightly in 1, GPT-4o Mini Transcribe in 0 clearly and slightly in 1.
Speko FLEURS German de_de, streaming WER
95 % ranges 5.6 % to 7.0 % and 4.0 % to 5.2 %, 862 tasks, lower is better, as of October 17, 2026
Speko FLEURS French fr_fr, streaming WER
95 % ranges 7.5 % to 9.5 % and 6.1 % to 7.5 %, 676 tasks, lower is better, as of October 17, 2026
Speko FLEURS Spanish es_419, streaming WER
95 % ranges 3.5 % to 4.9 % and 4.1 % to 5.8 %, 908 tasks, lower is better, as of October 17, 2026
Source · latest October 17, 2026
All data side by side
Prices are verbatim from the provider, because audio models bill per minute, character or token.
| GPT-4o Mini Transcribe | Muse Voice Transcribe | |
|---|---|---|
| Task | Speech to text | Speech to text |
| Developer | OpenAI | Meta Superintelligence Labs |
| Status | Deprecated | Active |
| Released | n/a | September 1, 2026 |
| Weights | proprietary | n/a |
| Runs locally | no | no |
| Price | $1.25 per 1M audio tokens | $0.18 per audio hour ($3 per 1,000 audio minutes) |
| Popularity (out of 100) | 33 | 0 |