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 Cartesia Ink 2 on 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.
Cartesia Ink 2 is more accurate on the public clips. On the 1,000 public Pipecat clips, Cartesia Ink 2 scores 2.39% and Deepgram Flux English 3.90%, so Cartesia Ink 2 makes fewer errors by 1.52 points. On the eight licensed Ocular recordings, Cartesia Ink 2 scores 3.09% and Deepgram Flux English 4.18%, with likely ranges of 2.43 to 3.84% and 3.08 to 5.23%. The ranges overlap, so the difference is too close to call. Word error rate counts incorrect, missing, and extra words, so lower is better.
Cartesia Ink 2 is more accurate on the public clips. On the 1,000 public Pipecat clips, Cartesia Ink 2 scores 2.39% and Deepgram Flux English 3.90%, so Cartesia Ink 2 makes fewer errors by 1.52 points. On the eight licensed Ocular recordings, Cartesia Ink 2 scores 3.09% and Deepgram Flux English 4.18%, with likely ranges of 2.43 to 3.84% and 3.08 to 5.23%. The ranges overlap, so the difference is too close to call. Word error rate counts incorrect, missing, and extra words, so lower is better.
No. Deepgram Flux English finishes the transcript 15ms sooner. Cartesia Ink 2 has the final transcript 123ms after the speaker stops and Deepgram Flux English 108ms, at the median. Both are measured on the same 206 streamed turns.
Deepgram Flux English finishes the transcript 15ms 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. Cartesia Ink 2 shows first text after 1.51s and Deepgram Flux English after 791ms, at the median, so Deepgram Flux English is 720ms sooner.