AssemblyAI Universal 3.6 Pro vs Reson8 Rumble-2

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)
  • Universal 3.6 Pro1.77% · 91ms
  • Rumble-21.69% · 18ms

Reson8 Rumble-2 is ahead on both datasets together, the Ocular Dataset and final-text delay, and AssemblyAI Universal 3.6 Pro on time to first text. The Pipecat Dataset is too close to call.

Last updated Methodology by Dileep Chagam

Who is better at what

Universal 3.6 ProRumble-2
  • Overall WER2.71%2.05%
  • Pipecat Dataset WER1.77%1.69%
  • Ocular Dataset WER4.50%2.75%
  • Time to first text485ms486ms
  • Final-text delay91ms18ms

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

Universal 3.6 Pro vs Rumble-2 FAQ

  • Reson8 Rumble-2 is more accurate on the public clips. On the 1,000 public Pipecat clips, AssemblyAI Universal 3.6 Pro scores 2.71% and Reson8 Rumble-2 2.05%, so Reson8 Rumble-2 makes fewer errors by 0.66 points. On the 300 licensed Ocular turns, AssemblyAI Universal 3.6 Pro scores 1.77% and Reson8 Rumble-2 1.69%, with likely ranges of 1.55 to 2.00% and 1.48 to 1.92%. The ranges overlap, so the difference is too close to call. Word error rate counts incorrect, missing, and extra words, so lower is better.

  • Yes. AssemblyAI Universal 3.6 Pro finishes the transcript 1ms sooner. AssemblyAI Universal 3.6 Pro has the final transcript 485ms after the speaker stops and Reson8 Rumble-2 486ms, at the median. Both are measured on the same 206 streamed turns.

  • AssemblyAI Universal 3.6 Pro finishes the transcript 1ms sooner, and the two are too close to call on real conversations. 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. AssemblyAI Universal 3.6 Pro shows first text after 4.50% and Reson8 Rumble-2 after 2.75%, at the median, so Reson8 Rumble-2 is 1.75 points lower.

Test your voice agent the same way.

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