OpenAIDeepgramAudio matchupSpeech to text
GPT-Live-Transcribevs.Flux
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 Flux 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, Flux 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
Artificial Analysis
GPT-Live-Transcribe slightly aheadArtificial Analysis AA-WER Streaming (final transcription)
lower is better, as of October 15, 2026
Source · latest October 15, 2026
All data side by side
Prices are verbatim from the provider, because audio models bill per minute, character or token.
| GPT-Live-Transcribe | Flux | |
|---|---|---|
| Task | Speech to text | Speech to text |
| Developer | OpenAI | Deepgram |
| Status | Active | Active |
| Released | July 28, 2026 | n/a |
| Weights | proprietary | proprietary |
| Runs locally | no | no |
| Price | $0.017 per audio minute | n/a |
| Popularity (out of 100) | 39 | 37 |