AssemblyAI Universal 3.5 Pro vs Reson8 Rumble-2
Accuracy and speed
Left gets fewer words wrong. Lower has the final text ready sooner.
- Universal 3.5 Pro1.93% · 180ms
- Rumble-21.69% · 18ms
Reson8 Rumble-2 is ahead of AssemblyAI Universal 3.5 Pro on both datasets together, time to first text and final-text delay. The Pipecat Dataset and The Ocular Dataset are too close to call. AssemblyAI Universal 3.5 Pro has a newer release: AssemblyAI Universal 3.6 Pro vs Reson8 Rumble-2.
Last updated Methodology by Dileep Chagam
Who is better at what
- Overall WER2.72%2.05%
- Pipecat Dataset WER1.93%1.69%
- Ocular Dataset WER4.23%2.75%
- Time to first text489ms486ms
- Final-text delay180ms18ms
Lower is better on every measure. Too close to call means the likely ranges overlap.
Universal 3.5 Pro vs Rumble-2 FAQ
Which is more accurate, AssemblyAI Universal 3.5 Pro or Reson8 Rumble-2?
Reson8 Rumble-2 is more accurate on the public clips. On the 1,000 public Pipecat clips, AssemblyAI Universal 3.5 Pro scores 2.72% and Reson8 Rumble-2 2.05%, so Reson8 Rumble-2 makes fewer errors by 0.67 points. On the 300 licensed Ocular turns, AssemblyAI Universal 3.5 Pro scores 1.93% and Reson8 Rumble-2 1.69%, with likely ranges of 1.69 to 2.18% 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.
Reson8 Rumble-2 is more accurate on the public clips. On the 1,000 public Pipecat clips, AssemblyAI Universal 3.5 Pro scores 2.72% and Reson8 Rumble-2 2.05%, so Reson8 Rumble-2 makes fewer errors by 0.67 points. On the 300 licensed Ocular turns, AssemblyAI Universal 3.5 Pro scores 1.93% and Reson8 Rumble-2 1.69%, with likely ranges of 1.69 to 2.18% 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.
No. Reson8 Rumble-2 finishes the transcript 3ms sooner. AssemblyAI Universal 3.5 Pro has the final transcript 489ms after the speaker stops and Reson8 Rumble-2 486ms, at the median. Both are measured on the same 206 streamed turns.
Reson8 Rumble-2 finishes the transcript 3ms 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 3.5 Pro shows first text after 4.23% and Reson8 Rumble-2 after 2.75%, at the median.
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