Deepgram Flux Multilingual vs Inworld STT-1
Accuracy and speed
Left gets fewer words wrong. Lower has the final text ready sooner.
- Flux Multilingual4.96% · 114ms
- STT-12.72% · 41ms
Deepgram Flux Multilingual 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
- Overall WER4.81%5.44%
- Pipecat Dataset WER4.96%2.72%
- Ocular Dataset WER4.53%10.60%
- Time to first text793ms1.06s
- Final-text delay114ms41ms
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 STT-1 FAQ
Which is more accurate, Deepgram Flux Multilingual or Inworld STT-1?
Deepgram Flux Multilingual is more accurate on the public clips. On the 1,000 public Pipecat clips, Deepgram Flux Multilingual scores 4.81% and Inworld STT-1 5.44%, so Deepgram Flux Multilingual makes fewer errors by 0.63 points. On the eight licensed Ocular recordings, Deepgram Flux Multilingual scores 4.96% and Inworld STT-1 2.72%, with likely ranges of 4.49 to 5.46% 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.
Deepgram Flux Multilingual is more accurate on the public clips. On the 1,000 public Pipecat clips, Deepgram Flux Multilingual scores 4.81% and Inworld STT-1 5.44%, so Deepgram Flux Multilingual makes fewer errors by 0.63 points. On the eight licensed Ocular recordings, Deepgram Flux Multilingual scores 4.96% and Inworld STT-1 2.72%, with likely ranges of 4.49 to 5.46% 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 Multilingual finishes the transcript 270ms sooner. Deepgram Flux Multilingual has the final transcript 793ms after the speaker stops and Inworld STT-1 1.06s, at the median. Both are measured on the same 206 streamed turns.
Deepgram Flux Multilingual finishes the transcript 270ms 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 Multilingual shows first text after 4.53% and Inworld STT-1 after 10.60%, at the median.
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