Left gets fewer words wrong. Lower has the final text ready sooner.
Deepgram Nova-3 is ahead on both datasets together, and Inworld STT-1 on final-text delay. The two tie on time to first text. The Pipecat Dataset and The Ocular Dataset are 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. For costs, see our breakdown of Deepgram pricing.
Deepgram Nova-3 is more accurate on the public clips. On the 1,000 public Pipecat clips, Deepgram Nova-3 scores 3.78% and Inworld STT-1 5.44%, so Deepgram Nova-3 makes fewer errors by 1.65 points. On the eight licensed Ocular recordings, Deepgram Nova-3 scores 3.46% and Inworld STT-1 2.72%, with likely ranges of 3.16 to 3.78% and 1.67 to 4.68%. 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 3.78% and Inworld STT-1 5.44%, so Deepgram Nova-3 makes fewer errors by 1.65 points. On the eight licensed Ocular recordings, Deepgram Nova-3 scores 3.46% and Inworld STT-1 2.72%, with likely ranges of 3.16 to 3.78% and 1.67 to 4.68%. The ranges overlap, so the difference is too close to call. Word error rate counts incorrect, missing, and extra words, so lower is better.
They finish the transcript at the same median time. Deepgram Nova-3 has the final transcript 1.06s after the speaker stops and Inworld STT-1 1.06s, at the median. Both are measured on the same 206 streamed turns.
Deepgram Nova-3 and Inworld STT-1 are level on the two figures a voice agent depends on most. 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 4.39% and Inworld STT-1 after 10.60%, at the median.
Cekura runs these simulated calls on your agent and scores every one.