Left gets fewer words wrong. Lower has the final text ready sooner.
AssemblyAI Universal 3.5 Pro is ahead of Gradium on both datasets together, the Pipecat Dataset, time to first text and final-text delay. The Ocular Dataset is too close to call. AssemblyAI Universal 3.5 Pro has a newer release: AssemblyAI Universal 3.6 Pro vs Gradium.
Last updated Methodology by Dileep Chagam
Lower is better on every measure. Too close to call means the likely ranges overlap.
AssemblyAI Universal 3.5 Pro is more accurate on both datasets. On the 1,000 public Pipecat clips, AssemblyAI Universal 3.5 Pro scores 2.72% and Gradium 5.78%, so AssemblyAI Universal 3.5 Pro makes fewer errors by 3.06 points. On the eight licensed Ocular recordings, AssemblyAI Universal 3.5 Pro scores 1.93% and Gradium 6.48%, so AssemblyAI Universal 3.5 Pro makes fewer errors by 4.55 points. Word error rate counts incorrect, missing, and extra words, so lower is better.
AssemblyAI Universal 3.5 Pro is more accurate on both datasets. On the 1,000 public Pipecat clips, AssemblyAI Universal 3.5 Pro scores 2.72% and Gradium 5.78%, so AssemblyAI Universal 3.5 Pro makes fewer errors by 3.06 points. On the eight licensed Ocular recordings, AssemblyAI Universal 3.5 Pro scores 1.93% and Gradium 6.48%, so AssemblyAI Universal 3.5 Pro makes fewer errors by 4.55 points. Word error rate counts incorrect, missing, and extra words, so lower is better.
Yes. AssemblyAI Universal 3.5 Pro finishes the transcript 1.22s sooner. AssemblyAI Universal 3.5 Pro has the final transcript 489ms after the speaker stops and Gradium 1.71s, at the median. Both are measured on the same 206 streamed turns.
AssemblyAI Universal 3.5 Pro is the stronger pick for voice agents: it makes fewer errors on real conversations and finishes the transcript 1.22s 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. AssemblyAI Universal 3.5 Pro shows first text after 4.23% and Gradium after 4.45%, at the median.
Cekura runs these simulated calls on your agent and scores every one.