GPT Realtime Whisper 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)
  • Realtime Whisper2.16% · 543ms
  • Rumble-21.69% · 18ms

Reson8 Rumble-2 is ahead of GPT Realtime Whisper 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

Realtime WhisperRumble-2
  • Overall WER2.63%2.05%
  • Pipecat Dataset WER2.16%1.69%
  • Ocular Dataset WER3.53%2.75%
  • Time to first text1.38s486ms
  • Final-text delay543ms18ms

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

Realtime Whisper vs Rumble-2 FAQ

  • Reson8 Rumble-2 is more accurate on both datasets. On the 1,000 public Pipecat clips, GPT Realtime Whisper scores 2.63% and Reson8 Rumble-2 2.05%, so Reson8 Rumble-2 makes fewer errors by 0.57 points. On the 300 licensed Ocular turns, GPT Realtime Whisper scores 2.16% and Reson8 Rumble-2 1.69%, so Reson8 Rumble-2 makes fewer errors by 0.47 points. Word error rate counts incorrect, missing, and extra words, so lower is better.

  • No. Reson8 Rumble-2 finishes the transcript 893ms sooner. GPT Realtime Whisper has the final transcript 1.38s 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 893ms 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. GPT Realtime Whisper shows first text after 3.53% and Reson8 Rumble-2 after 2.75%, at the median.

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