Left gets fewer words wrong. Lower has the final text ready sooner.
Deepgram Nova-3 is ahead of Gradium on 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
Lower is better on every measure. Too close to call means the likely ranges overlap.
Deepgram Nova-3 is more accurate on the public clips. On the 1,000 public Pipecat clips, Deepgram Nova-3 scores 3.46% and Gradium 6.48%, so Deepgram Nova-3 makes fewer errors by 3.01 points. On the eight licensed Ocular recordings, Deepgram Nova-3 scores 4.39% and Gradium 4.45%, with likely ranges of 3.42 to 5.25% and 3.17 to 5.90%. The ranges overlap, so the difference is too close to call. Word error rate counts incorrect, missing, and extra words, so lower is better.
Deepgram Nova-3 is more accurate on the public clips. On the 1,000 public Pipecat clips, Deepgram Nova-3 scores 3.46% and Gradium 6.48%, so Deepgram Nova-3 makes fewer errors by 3.01 points. On the eight licensed Ocular recordings, Deepgram Nova-3 scores 4.39% and Gradium 4.45%, with likely ranges of 3.42 to 5.25% and 3.17 to 5.90%. 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. Deepgram Nova-3 finishes the transcript 109ms sooner. Deepgram Nova-3 has the final transcript 103ms after the speaker stops and Gradium 212ms, at the median. Both are measured on the same 206 streamed turns.
Deepgram Nova-3 finishes the transcript 109ms 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. Deepgram Nova-3 shows first text after 1.06s and Gradium after 1.71s, at the median, so Deepgram Nova-3 is 641ms sooner.