Deepgram Flux English vs Smallest Pulse
Accuracy and speed
Left gets fewer words wrong. Lower has the final text ready sooner.
- Flux English3.90% · 108ms
- Pulse3.66% · 201ms
Deepgram Flux English is ahead on time to first text and final-text delay, and Smallest Pulse on both datasets together. The Pipecat Dataset and The Ocular Dataset are too close to call.
Last updated Methodology by Dileep Chagam
Who is better at what
- Overall WER4.00%3.59%
- Pipecat Dataset WER3.90%3.66%
- Ocular Dataset WER4.18%3.46%
- Time to first text791ms1.06s
- Final-text delay108ms201ms
Lower is better on every measure. Too close to call means the likely ranges overlap. For costs, see our breakdown of Deepgram pricing.
Flux English vs Pulse FAQ
Which is more accurate, Deepgram Flux English or Smallest Pulse?
Smallest Pulse is more accurate on the public clips. On the 1,000 public Pipecat clips, Deepgram Flux English scores 4.00% and Smallest Pulse 3.59%, so Smallest Pulse makes fewer errors by 0.41 points. On the eight licensed Ocular recordings, Deepgram Flux English scores 3.90% and Smallest Pulse 3.66%, with likely ranges of 3.53 to 4.29% and 3.34 to 3.99%. The ranges overlap, so the difference is too close to call. Word error rate counts incorrect, missing, and extra words, so lower is better.
Smallest Pulse is more accurate on the public clips. On the 1,000 public Pipecat clips, Deepgram Flux English scores 4.00% and Smallest Pulse 3.59%, so Smallest Pulse makes fewer errors by 0.41 points. On the eight licensed Ocular recordings, Deepgram Flux English scores 3.90% and Smallest Pulse 3.66%, with likely ranges of 3.53 to 4.29% and 3.34 to 3.99%. The ranges overlap, so the difference is too close to call. Word error rate counts incorrect, missing, and extra words, so lower is better.
Yes. Deepgram Flux English finishes the transcript 266ms sooner. Deepgram Flux English has the final transcript 791ms after the speaker stops and Smallest Pulse 1.06s, at the median. Both are measured on the same 206 streamed turns.
Deepgram Flux English finishes the transcript 266ms 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 4.18% and Smallest Pulse after 3.46%, at the median.
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