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OpenAIDeepgramAudio matchupSpeech to text

GPT-Realtime-Whispervs.Flux

Which model is better?

GPT-Realtime-Whisper and Flux each lead in different tests.

Independent tests
GPT-Realtime-Whisper0 of 2
Flux0 of 2
Coval, Artificial Analysis
Popularity
GPT-Realtime-Whisper34
Flux37
out of 100
Weights and access
GPT-Realtime-Whisperproprietary
Fluxproprietary
Price
GPT-Realtime-Whisper$0.017 per audio minute
Fluxn/a
verbatim from the provider

Pick GPT-Realtime-Whisper for

leaning Artificial Analysis

Pick Flux for

leaning Coval

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”.

Coval

Flux slightly ahead

Flux is clearly ahead in 0 of 16 subtests and slightly in 13, GPT-Realtime-Whisper in 0 clearly and slightly in 3.

Coval Word Error Rate (WER) per-sample p50

GPT-Realtime-Whisper0.0 %
Flux3.1 %

lower is better, as of November 5, 2026

Coval Time to Final Segment (TTFS) mean

GPT-Realtime-Whisper564 ms
Flux102 ms

lower is better, as of November 5, 2026

Coval Time to Final Segment (TTFS) p50

GPT-Realtime-Whisper547 ms
Flux99 ms

lower is better, as of November 5, 2026

Show all 16 subtests
SubtestGPT-Realtime-WhisperFluxVerdict
Coval Word Error Rate (WER) per-sample p50 (lower is better)0.0 %3.1 %GPT-Realtime-Whisper slightly ahead
Coval Time to Final Segment (TTFS) mean (lower is better)564 ms102 msFlux slightly ahead
Coval Time to Final Segment (TTFS) p50 (lower is better)547 ms99 msFlux slightly ahead
Coval Time to First Token (TTFT) maximum (lower is better)10,968 ms4,616 msFlux slightly ahead
Coval AudioToFinal maximum (lower is better)30.01 s17.25 sFlux slightly ahead
Coval Time to First Token (TTFT) mean (lower is better)1,820 ms1,095 msFlux slightly ahead
Coval Time to First Token (TTFT) p50 (lower is better)1,878 ms1,172 msFlux slightly ahead
Coval Time to Final Segment (TTFS) maximum (lower is better)20,386 ms13,993 msFlux slightly ahead
Coval pooled corpus Word Error Rate (WER) (lower is better)4.0 %5.7 %GPT-Realtime-Whisper slightly ahead
Coval Word Error Rate (WER) per-sample mean (lower is better)4.5 %6.4 %GPT-Realtime-Whisper slightly ahead
Coval Word Error Rate (WER) per-sample maximum (lower is better)100.0 %92.3 %Flux slightly ahead
Coval RTF mean (lower is better)1.091.02Flux slightly ahead
Coval AudioToFinal mean (lower is better)8.51 s8.05 sFlux slightly ahead
Coval AudioToFinal p50 (lower is better)8.88 s8.42 sFlux slightly ahead
Coval RTF p50 (lower is better)1.071.01Flux slightly ahead
Coval RTF maximum (lower is better)5.555.29Flux slightly ahead

Source · latest November 5, 2026

Artificial Analysis

GPT-Realtime-Whisper slightly ahead

Artificial Analysis AA-WER Streaming (final transcription)

GPT-Realtime-Whisper4.9 %
Flux7.4 %

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-Realtime-WhisperFlux
TaskSpeech to textSpeech to text
DeveloperOpenAIDeepgram
StatusActiveActive
Weightsproprietaryproprietary
Runs locallynono
Price$0.017 per audio minuten/a
Popularity (out of 100)3437