Deepgram Flux Multilingual vs Deepgram Nova-3
Accuracy and speed
Left gets fewer words wrong. Lower has the final text ready sooner.
- Flux Multilingual4.96% · 114ms
- Nova-33.46% · 103ms
Deepgram Nova-3 is ahead on both datasets together, the Pipecat Dataset and final-text delay, and Deepgram Flux Multilingual on time to first text. The Ocular Dataset is too close to call.
Last updated Methodology by Dileep Chagam
Who is better at what
- Overall WER4.81%3.78%
- Pipecat Dataset WER4.96%3.46%
- Ocular Dataset WER4.53%4.39%
- Time to first text793ms1.06s
- Final-text delay114ms103ms
Lower is better on every measure. Too close to call means the likely ranges overlap. For costs, see our breakdown of Deepgram pricing.
Flux Multilingual vs Nova-3 FAQ
Which is more accurate, Deepgram Flux Multilingual or Deepgram Nova-3?
Deepgram Nova-3 is more accurate on both datasets. On the 1,000 public Pipecat clips, Deepgram Flux Multilingual scores 4.81% and Deepgram Nova-3 3.78%, so Deepgram Nova-3 makes fewer errors by 1.03 points. On the eight licensed Ocular recordings, Deepgram Flux Multilingual scores 4.96% and Deepgram Nova-3 3.46%, so Deepgram Nova-3 makes fewer errors by 1.50 points. Word error rate counts incorrect, missing, and extra words, so lower is better.
Deepgram Nova-3 is more accurate on both datasets. On the 1,000 public Pipecat clips, Deepgram Flux Multilingual scores 4.81% and Deepgram Nova-3 3.78%, so Deepgram Nova-3 makes fewer errors by 1.03 points. On the eight licensed Ocular recordings, Deepgram Flux Multilingual scores 4.96% and Deepgram Nova-3 3.46%, so Deepgram Nova-3 makes fewer errors by 1.50 points. Word error rate counts incorrect, missing, and extra words, so lower is better.
Yes. Deepgram Flux Multilingual finishes the transcript 271ms sooner. Deepgram Flux Multilingual has the final transcript 793ms after the speaker stops and Deepgram Nova-3 1.06s, at the median. Both are measured on the same 206 streamed turns.
It is a trade-off. Deepgram Nova-3 makes fewer errors on real conversations, while Deepgram Flux Multilingual finishes the transcript 271ms 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 Multilingual shows first text after 4.53% and Deepgram Nova-3 after 4.39%, at the median.
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