Deepgram Flux English vs Reson8 Rumble-2

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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
  • Rumble-21.69% · 18ms

Reson8 Rumble-2 is ahead of Deepgram Flux English on both datasets together, the Pipecat Dataset, time to first text and final-text delay. The Ocular Dataset is too close to call.

Last updated Methodology by Dileep Chagam

Who is better at what

Flux EnglishRumble-2
  • Overall WER4.00%2.05%
  • Pipecat Dataset WER3.90%1.69%
  • Ocular Dataset WER4.18%2.75%
  • Time to first text791ms486ms
  • Final-text delay108ms18ms

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

Flux English vs Rumble-2 FAQ

  • Reson8 Rumble-2 is more accurate on both datasets. On the 1,000 public Pipecat clips, Deepgram Flux English scores 4.00% and Reson8 Rumble-2 2.05%, so Reson8 Rumble-2 makes fewer errors by 1.94 points. On the 300 licensed Ocular turns, Deepgram Flux English scores 3.90% and Reson8 Rumble-2 1.69%, so Reson8 Rumble-2 makes fewer errors by 2.21 points. Word error rate counts incorrect, missing, and extra words, so lower is better.

  • No. Reson8 Rumble-2 finishes the transcript 305ms sooner. Deepgram Flux English has the final transcript 791ms after the speaker stops and Reson8 Rumble-2 486ms, at the median. Both are measured on the same 206 streamed turns.

  • Reson8 Rumble-2 is the stronger pick for voice agents: it makes fewer errors on real conversations and finishes the transcript 305ms 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 Rumble-2 after 2.75%, at the median.

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