Deepgram Flux English 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)
  • Flux English3.90% · 108ms
  • Reson82.10% · 235ms

Deepgram Flux English 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

Flux EnglishReson8
  • Overall WER4.00%2.38%
  • Pipecat Dataset WER3.90%2.10%
  • Ocular Dataset WER4.18%2.93%
  • Time to first text791ms2.40s
  • Final-text delay108ms235ms

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 Reson8 FAQ

  • Reson8 is more accurate on both datasets. On the 1,000 public Pipecat clips, Deepgram Flux English scores 4.00% and Reson8 2.38%, so Reson8 makes fewer errors by 1.61 points. On the eight licensed Ocular recordings, Deepgram Flux English scores 3.90% and Reson8 2.10%, so Reson8 makes fewer errors by 1.81 points. Word error rate counts incorrect, missing, and extra words, so lower is better.

  • Yes. Deepgram Flux English finishes the transcript 1.61s sooner. Deepgram Flux English has the final transcript 791ms 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 Deepgram Flux English finishes the transcript 1.61s 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 Reson8 after 2.93%, at the median.

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