GPT-4o Mini TranscribevsReson8

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Accuracy and speed

Left gets fewer words wrong. Lower has the final text ready sooner.

Accurate and fast0ms200ms400ms600ms800ms0%2%4%6%8%Words wrong on clean audio (Pipecat WER)
  • 4o Mini Transcribe3.35% · 630ms
  • Reson82.10% · 235ms

Reson8 is ahead of GPT-4o Mini Transcribe on the Pipecat Dataset and final-text delay. The Ocular Dataset is too close to call.

Last updated Methodology by Dileep Chagam

Who is better at what

4o Mini TranscribeReson8
  • Pipecat Dataset WER3.35%2.10%
  • Ocular Dataset WER4.45%2.93%
  • Time to first textn/a2.40s
  • Final-text delay630ms235ms

Lower is better on every measure. Too close to call means the likely ranges overlap.

4o Mini Transcribe vs Reson8 FAQ

  • Reson8 is more accurate on the public clips. On the 1,000 public Pipecat clips, GPT-4o Mini Transcribe scores 3.35% and Reson8 2.10%, so Reson8 makes fewer errors by 1.26 points. On the eight licensed Ocular recordings, GPT-4o Mini Transcribe scores 4.45% and Reson8 2.93%, with likely ranges of 3.22 to 5.55% and 2.29 to 3.68%. The ranges overlap, so the difference is too close to call. Word error rate counts incorrect, missing, and extra words, so lower is better.

  • No. Reson8 finishes the transcript 395ms sooner. GPT-4o Mini Transcribe has the final transcript 630ms after the speaker stops and Reson8 235ms, at the median. Both are measured on the same 206 streamed turns.

  • Reson8 finishes the transcript 395ms sooner, and the two are too close to call on real conversations. A voice agent cannot reply until the final transcript arrives, and the Ocular recordings are real conversations.

  • Only Reson8. GPT-4o Mini Transcribe returns no text until the speaker stops, which matters if your agent reacts to partial transcripts.