Deepgram Flux Multilingual vs Reson8
Accuracy and speed
Left gets fewer words wrong. Lower has the final text ready sooner.
- Flux Multilingual4.96% · 114ms
- Reson82.10% · 235ms
Deepgram Flux Multilingual 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
Who is better at what
- Overall WER4.81%2.38%
- Pipecat Dataset WER4.96%2.10%
- Ocular Dataset WER4.53%2.93%
- Time to first text793ms2.40s
- Final-text delay114ms235ms
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 Reson8 FAQ
Which is more accurate, Deepgram Flux Multilingual or Reson8?
Reson8 is more accurate on both datasets. On the 1,000 public Pipecat clips, Deepgram Flux Multilingual scores 4.81% and Reson8 2.38%, so Reson8 makes fewer errors by 2.43 points. On the eight licensed Ocular recordings, Deepgram Flux Multilingual scores 4.96% and Reson8 2.10%, so Reson8 makes fewer errors by 2.86 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 Multilingual scores 4.81% and Reson8 2.38%, so Reson8 makes fewer errors by 2.43 points. On the eight licensed Ocular recordings, Deepgram Flux Multilingual scores 4.96% and Reson8 2.10%, so Reson8 makes fewer errors by 2.86 points. Word error rate counts incorrect, missing, and extra words, so lower is better.
Yes. Deepgram Flux Multilingual finishes the transcript 1.61s sooner. Deepgram Flux Multilingual has the final transcript 793ms 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 Multilingual 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 Multilingual shows first text after 4.53% and Reson8 after 2.93%, at the median.
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