Deepgram Flux English vs GPT-4o Mini Transcribe
Accuracy and speed
Left gets fewer words wrong. Lower has the final text ready sooner.
- Flux English3.90% · 108ms
- 4o Mini Transcribe3.35% · 630ms
Deepgram Flux English is ahead on final-text delay, and GPT-4o Mini Transcribe on both datasets together. The Pipecat Dataset and The Ocular Dataset are too close to call.
Last updated Methodology by Dileep Chagam
Who is better at what
- Overall WER4.00%3.73%
- Pipecat Dataset WER3.90%3.35%
- Ocular Dataset WER4.18%4.45%
- Time to first text791msn/a
- Final-text delay108ms630ms
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 4o Mini Transcribe FAQ
Which is more accurate, Deepgram Flux English or GPT-4o Mini Transcribe?
GPT-4o Mini Transcribe is more accurate on the public clips. On the 1,000 public Pipecat clips, Deepgram Flux English scores 4.00% and GPT-4o Mini Transcribe 3.73%, so GPT-4o Mini Transcribe makes fewer errors by 0.27 points. On the eight licensed Ocular recordings, Deepgram Flux English scores 3.90% and GPT-4o Mini Transcribe 3.35%, with likely ranges of 3.53 to 4.29% and 3.08 to 3.65%. The ranges overlap, so the difference is too close to call. Word error rate counts incorrect, missing, and extra words, so lower is better.
GPT-4o Mini Transcribe is more accurate on the public clips. On the 1,000 public Pipecat clips, Deepgram Flux English scores 4.00% and GPT-4o Mini Transcribe 3.73%, so GPT-4o Mini Transcribe makes fewer errors by 0.27 points. On the eight licensed Ocular recordings, Deepgram Flux English scores 3.90% and GPT-4o Mini Transcribe 3.35%, with likely ranges of 3.53 to 4.29% and 3.08 to 3.65%. The ranges overlap, so the difference is too close to call. Word error rate counts incorrect, missing, and extra words, so lower is better.
Final-text delay was not measured for one or both, so speed cannot be compared. Both are measured on the same 206 streamed turns.
Deepgram Flux English and GPT-4o Mini Transcribe are level on the two figures a voice agent depends on most. A voice agent cannot reply until the final transcript arrives, and the Ocular recordings are real conversations.
Only Deepgram Flux English. GPT-4o Mini Transcribe returns no text until the speaker stops, which matters if your agent reacts to partial transcripts.
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