DeepgramMeta Superintelligence LabsAudio matchupSpeech to text
Fluxvs.Muse Voice Transcribe
Which model is better?
Muse Voice Transcribe is slightly ahead in independent tests, but the lead is not certain.
Pick Flux 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
Muse Voice Transcribe slightly aheadMuse Voice Transcribe is clearly ahead in 0 of 3 subtests and slightly in 1, Flux in none. 2 are level.
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.
| Flux | Muse Voice Transcribe | |
|---|---|---|
| Task | Speech to text | Speech to text |
| Developer | Deepgram | Meta Superintelligence Labs |
| Status | Active | Active |
| Released | n/a | September 1, 2026 |
| Weights | proprietary | n/a |
| Runs locally | no | no |
| Price | n/a | $0.18 per audio hour ($3 per 1,000 audio minutes) |
| Popularity (out of 100) | 37 | 0 |