Gradium vs Reson8

Compare

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)
  • Gradium6.48% · 212ms
  • Reson82.10% · 235ms

Gradium is ahead on time to first text and final-text delay, and Reson8 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

GradiumReson8
  • Overall WER5.78%2.38%
  • Pipecat Dataset WER6.48%2.10%
  • Ocular Dataset WER4.45%2.93%
  • Time to first text1.71s2.40s
  • Final-text delay212ms235ms

Lower is better on every measure. Too close to call means the likely ranges overlap. Our guide explains how word error rate is measured.

Gradium vs Reson8 FAQ

  • Reson8 is more accurate on both datasets. On the 1,000 public Pipecat clips, Gradium scores 5.78% and Reson8 2.38%, so Reson8 makes fewer errors by 3.39 points. On the eight licensed Ocular recordings, Gradium scores 6.48% and Reson8 2.10%, so Reson8 makes fewer errors by 4.38 points. Word error rate counts incorrect, missing, and extra words, so lower is better.

  • Yes. Gradium finishes the transcript 695ms sooner. Gradium has the final transcript 1.71s after the speaker stops and Reson8 2.40s, at the median. Both are measured on the same 206 streamed turns.

  • It is a trade-off. Reson8 makes fewer errors on real conversations, while Gradium finishes the transcript 695ms 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. Gradium shows first text after 4.45% and Reson8 after 2.93%, at the median.

Test your voice agent the same way.

Cekura runs these simulated calls on your agent and scores every one.