Left gets fewer words wrong. Lower has the final text ready sooner.
Deepgram Flux English is ahead on both datasets together and time to first text, and Inworld STT-1 on final-text delay. 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 Flux English is more accurate on the public clips. On the 1,000 public Pipecat clips, Deepgram Flux English scores 4.00% and Inworld STT-1 5.44%, so Deepgram Flux English makes fewer errors by 1.44 points. On the eight licensed Ocular recordings, Deepgram Flux English scores 3.90% and Inworld STT-1 2.72%, with likely ranges of 3.53 to 4.29% 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 Flux English is more accurate on the public clips. On the 1,000 public Pipecat clips, Deepgram Flux English scores 4.00% and Inworld STT-1 5.44%, so Deepgram Flux English makes fewer errors by 1.44 points. On the eight licensed Ocular recordings, Deepgram Flux English scores 3.90% and Inworld STT-1 2.72%, with likely ranges of 3.53 to 4.29% 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.
Yes. Deepgram Flux English finishes the transcript 272ms sooner. Deepgram Flux English has the final transcript 791ms after the speaker stops and Inworld STT-1 1.06s, at the median. Both are measured on the same 206 streamed turns.
Deepgram Flux English finishes the transcript 272ms 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 Flux English shows first text after 4.18% and Inworld STT-1 after 10.60%, at the median.
Cekura runs these simulated calls on your agent and scores every one.