Deepgram Flux English vs GPT Realtime Whisper
Accuracy and speed
Left gets fewer words wrong. Lower has the final text ready sooner.
- Flux English3.90% · 108ms
- Realtime Whisper2.16% · 543ms
Deepgram Flux English is ahead on time to first text and final-text delay, and GPT Realtime Whisper on both datasets together and the Pipecat Dataset. The Ocular Dataset is too close to call.
Last updated Methodology by Dileep Chagam
Who is better at what
- Overall WER4.00%2.63%
- Pipecat Dataset WER3.90%2.16%
- Ocular Dataset WER4.18%3.53%
- Time to first text791ms1.38s
- Final-text delay108ms543ms
Lower is better on every measure. Too close to call means the likely ranges overlap. For costs, see our breakdown of Deepgram pricing.
Flux English vs Realtime Whisper FAQ
Which is more accurate, Deepgram Flux English or GPT Realtime Whisper?
GPT Realtime Whisper is more accurate on both datasets. On the 1,000 public Pipecat clips, Deepgram Flux English scores 4.00% and GPT Realtime Whisper 2.63%, so GPT Realtime Whisper makes fewer errors by 1.37 points. On the eight licensed Ocular recordings, Deepgram Flux English scores 3.90% and GPT Realtime Whisper 2.16%, so GPT Realtime Whisper makes fewer errors by 1.75 points. Word error rate counts incorrect, missing, and extra words, so lower is better.
GPT Realtime Whisper is more accurate on both datasets. On the 1,000 public Pipecat clips, Deepgram Flux English scores 4.00% and GPT Realtime Whisper 2.63%, so GPT Realtime Whisper makes fewer errors by 1.37 points. On the eight licensed Ocular recordings, Deepgram Flux English scores 3.90% and GPT Realtime Whisper 2.16%, so GPT Realtime Whisper makes fewer errors by 1.75 points. Word error rate counts incorrect, missing, and extra words, so lower is better.
Yes. Deepgram Flux English finishes the transcript 588ms sooner. Deepgram Flux English has the final transcript 791ms after the speaker stops and GPT Realtime Whisper 1.38s, at the median. Both are measured on the same 206 streamed turns.
It is a trade-off. GPT Realtime Whisper makes fewer errors on real conversations, while Deepgram Flux English finishes the transcript 588ms sooner. A voice agent cannot reply until the final transcript arrives, and the Ocular recordings are real conversations.
Yes, both return partial text before the speaker stops. Deepgram Flux English shows first text after 4.18% and GPT Realtime Whisper after 3.53%, at the median.
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