AssemblyAI Universal 3.5 Pro vs Reson8

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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)
  • Universal 3.5 Pro1.93% · 180ms
  • Reson82.10% · 235ms

AssemblyAI Universal 3.5 Pro is ahead on time to first text and final-text delay, and Reson8 on both datasets together. The Pipecat Dataset and The Ocular Dataset are too close to call. AssemblyAI Universal 3.5 Pro has a newer release: AssemblyAI Universal 3.6 Pro vs Reson8.

Last updated Methodology by Dileep Chagam

Who is better at what

Universal 3.5 ProReson8
  • Overall WER2.72%2.38%
  • Pipecat Dataset WER1.93%2.10%
  • Ocular Dataset WER4.23%2.93%
  • Time to first text489ms2.40s
  • Final-text delay180ms235ms

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

Universal 3.5 Pro vs Reson8 FAQ

  • Reson8 is more accurate on the public clips. On the 1,000 public Pipecat clips, AssemblyAI Universal 3.5 Pro scores 2.72% and Reson8 2.38%, so Reson8 makes fewer errors by 0.34 points. On the eight licensed Ocular recordings, AssemblyAI Universal 3.5 Pro scores 1.93% and Reson8 2.10%, with likely ranges of 1.69 to 2.18% and 1.86 to 2.35%. The ranges overlap, so the difference is too close to call. Word error rate counts incorrect, missing, and extra words, so lower is better.

  • Yes. AssemblyAI Universal 3.5 Pro finishes the transcript 1.91s sooner. AssemblyAI Universal 3.5 Pro has the final transcript 489ms after the speaker stops and Reson8 2.40s, at the median. Both are measured on the same 206 streamed turns.

  • AssemblyAI Universal 3.5 Pro finishes the transcript 1.91s 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.

  • Yes, both return partial text before the speaker stops. AssemblyAI Universal 3.5 Pro shows first text after 4.23% and Reson8 after 2.93%, at the median.

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