Left gets fewer words wrong. Lower has the final text ready sooner.
Deepgram Flux English is ahead on time to first text and final-text delay, and Reson8 on both datasets together and the Pipecat Dataset. 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. For costs, see our breakdown of Deepgram pricing.
Reson8 is more accurate on both datasets. On the 1,000 public Pipecat clips, Deepgram Flux English scores 4.00% and Reson8 2.38%, so Reson8 makes fewer errors by 1.61 points. On the eight licensed Ocular recordings, Deepgram Flux English scores 3.90% and Reson8 2.10%, so Reson8 makes fewer errors by 1.81 points. Word error rate counts incorrect, missing, and extra words, so lower is better.
Reson8 is more accurate on both datasets. On the 1,000 public Pipecat clips, Deepgram Flux English scores 4.00% and Reson8 2.38%, so Reson8 makes fewer errors by 1.61 points. On the eight licensed Ocular recordings, Deepgram Flux English scores 3.90% and Reson8 2.10%, so Reson8 makes fewer errors by 1.81 points. Word error rate counts incorrect, missing, and extra words, so lower is better.
Yes. Deepgram Flux English finishes the transcript 1.61s sooner. Deepgram Flux English has the final transcript 791ms after the speaker stops and Reson8 2.40s, at the median. Both are measured on the same 206 streamed turns.
It is a trade-off. Reson8 makes fewer errors on real conversations, while Deepgram Flux English finishes the transcript 1.61s 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. Deepgram Flux English shows first text after 4.18% and Reson8 after 2.93%, at the median.
Cekura runs these simulated calls on your agent and scores every one.