Deepgram Nova-3 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)
  • Nova-33.46% · 103ms
  • Rumble-21.69% · 18ms

Reson8 Rumble-2 is ahead of Deepgram Nova-3 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

Nova-3Rumble-2
  • Overall WER3.78%2.05%
  • Pipecat Dataset WER3.46%1.69%
  • Ocular Dataset WER4.39%2.75%
  • Time to first text1.06s486ms
  • Final-text delay103ms18ms

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

Nova-3 vs Rumble-2 FAQ

  • Reson8 Rumble-2 is more accurate on both datasets. On the 1,000 public Pipecat clips, Deepgram Nova-3 scores 3.78% and Reson8 Rumble-2 2.05%, so Reson8 Rumble-2 makes fewer errors by 1.73 points. On the 300 licensed Ocular turns, Deepgram Nova-3 scores 3.46% and Reson8 Rumble-2 1.69%, so Reson8 Rumble-2 makes fewer errors by 1.77 points. Word error rate counts incorrect, missing, and extra words, so lower is better.

  • No. Reson8 Rumble-2 finishes the transcript 578ms sooner. Deepgram Nova-3 has the final transcript 1.06s 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 578ms 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 Nova-3 shows first text after 4.39% and Reson8 Rumble-2 after 2.75%, at the median.

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