Deepgram Flux EnglishvsDeepgram Nova-3
Accuracy and speed
Left gets fewer words wrong. Lower has the final text ready sooner.
- Flux English3.90% · 108ms
- Nova-33.46% · 103ms
Deepgram Flux English is ahead on time to first text, and Deepgram Nova-3 on final-text delay. The Pipecat Dataset and The Ocular Dataset are too close to call.
Last updated Methodology by Dileep Chagam
Who is better at what
- Pipecat Dataset WER3.90%3.46%
- Ocular Dataset WER4.18%4.39%
- Time to first text791ms1.06s
- Final-text delay108ms103ms
Lower is better on every measure. Too close to call means the likely ranges overlap.
Flux English vs Nova-3 FAQ
Which is more accurate, Deepgram Flux English or Deepgram Nova-3?
Deepgram Flux English and Deepgram Nova-3 are too close to call on accuracy. On the 1,000 public Pipecat clips, Deepgram Flux English scores 3.90% and Deepgram Nova-3 3.46%, with likely ranges of 3.53 to 4.29% and 3.16 to 3.78%. The ranges overlap, so the difference is too close to call. On the eight licensed Ocular recordings, Deepgram Flux English scores 4.18% and Deepgram Nova-3 4.39%, with likely ranges of 3.08 to 5.23% and 3.42 to 5.25%. 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 and Deepgram Nova-3 are too close to call on accuracy. On the 1,000 public Pipecat clips, Deepgram Flux English scores 3.90% and Deepgram Nova-3 3.46%, with likely ranges of 3.53 to 4.29% and 3.16 to 3.78%. The ranges overlap, so the difference is too close to call. On the eight licensed Ocular recordings, Deepgram Flux English scores 4.18% and Deepgram Nova-3 4.39%, with likely ranges of 3.08 to 5.23% and 3.42 to 5.25%. 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 Nova-3 finishes the transcript 5ms sooner. Deepgram Flux English has the final transcript 108ms after the speaker stops and Deepgram Nova-3 103ms, at the median. Both are measured on the same 206 streamed turns.
Deepgram Nova-3 finishes the transcript 5ms 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 791ms and Deepgram Nova-3 after 1.06s, at the median, so Deepgram Flux English is 273ms sooner.