Deepgram Flux English vs Inworld STT-1

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Accuracy and speed

Left gets fewer words wrong. Lower has the final text ready sooner.

Accurate and fast0ms200ms400ms600ms800ms0%2%4%6%8%Words wrong on clean audio (Pipecat WER)
  • Flux English3.90% · 108ms
  • STT-12.72% · 41ms

Deepgram Flux English is ahead on both datasets together and time to first text, and Inworld STT-1 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

Flux EnglishSTT-1
  • Overall WER4.00%5.44%
  • Pipecat Dataset WER3.90%2.72%
  • Ocular Dataset WER4.18%10.60%
  • Time to first text791ms1.06s
  • Final-text delay108ms41ms

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 STT-1 FAQ

  • Deepgram Flux English is more accurate on the public clips. On the 1,000 public Pipecat clips, Deepgram Flux English scores 4.00% and Inworld STT-1 5.44%, so Deepgram Flux English makes fewer errors by 1.44 points. On the eight licensed Ocular recordings, Deepgram Flux English scores 3.90% and Inworld STT-1 2.72%, with likely ranges of 3.53 to 4.29% and 1.67 to 4.68%. 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 272ms sooner. Deepgram Flux English has the final transcript 791ms after the speaker stops and Inworld STT-1 1.06s, at the median. Both are measured on the same 206 streamed turns.

  • Deepgram Flux English finishes the transcript 272ms 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 Inworld STT-1 after 10.60%, at the median.

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