Deepgram Flux Multilingual vs Smallest Pulse
Accuracy and speed
Left gets fewer words wrong. Lower has the final text ready sooner.
- Flux Multilingual4.96% · 114ms
- Pulse3.66% · 201ms
Deepgram Flux Multilingual is ahead on time to first text and final-text delay, and Smallest Pulse 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%3.59%
- Pipecat Dataset WER4.96%3.66%
- Ocular Dataset WER4.53%3.46%
- Time to first text793ms1.06s
- Final-text delay114ms201ms
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 Pulse FAQ
Which is more accurate, Deepgram Flux Multilingual or Smallest Pulse?
Smallest Pulse is more accurate on both datasets. On the 1,000 public Pipecat clips, Deepgram Flux Multilingual scores 4.81% and Smallest Pulse 3.59%, so Smallest Pulse makes fewer errors by 1.22 points. On the eight licensed Ocular recordings, Deepgram Flux Multilingual scores 4.96% and Smallest Pulse 3.66%, so Smallest Pulse makes fewer errors by 1.30 points. Word error rate counts incorrect, missing, and extra words, so lower is better.
Smallest Pulse is more accurate on both datasets. On the 1,000 public Pipecat clips, Deepgram Flux Multilingual scores 4.81% and Smallest Pulse 3.59%, so Smallest Pulse makes fewer errors by 1.22 points. On the eight licensed Ocular recordings, Deepgram Flux Multilingual scores 4.96% and Smallest Pulse 3.66%, so Smallest Pulse makes fewer errors by 1.30 points. Word error rate counts incorrect, missing, and extra words, so lower is better.
Yes. Deepgram Flux Multilingual finishes the transcript 264ms sooner. Deepgram Flux Multilingual has the final transcript 793ms after the speaker stops and Smallest Pulse 1.06s, at the median. Both are measured on the same 206 streamed turns.
It is a trade-off. Smallest Pulse makes fewer errors on real conversations, while Deepgram Flux Multilingual finishes the transcript 264ms 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 Smallest Pulse after 3.46%, at the median.
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