Inworld STT-1 vs GPT Realtime Whisper

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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)
  • STT-12.72% · 41ms
  • Realtime Whisper2.16% · 543ms

Inworld STT-1 is ahead on time to first text and final-text delay, and GPT Realtime Whisper 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

STT-1Realtime Whisper
  • Overall WER5.44%2.63%
  • Pipecat Dataset WER2.72%2.16%
  • Ocular Dataset WER10.60%3.53%
  • Time to first text1.06s1.38s
  • Final-text delay41ms543ms

Lower is better on every measure. Too close to call means the likely ranges overlap. Our guide explains how word error rate is measured.

STT-1 vs Realtime Whisper FAQ

  • GPT Realtime Whisper is more accurate on the public clips. On the 1,000 public Pipecat clips, Inworld STT-1 scores 5.44% and GPT Realtime Whisper 2.63%, so GPT Realtime Whisper makes fewer errors by 2.81 points. On the eight licensed Ocular recordings, Inworld STT-1 scores 2.72% and GPT Realtime Whisper 2.16%, with likely ranges of 1.67 to 4.68% and 1.92 to 2.41%. 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. Inworld STT-1 finishes the transcript 316ms sooner. Inworld STT-1 has the final transcript 1.06s after the speaker stops and GPT Realtime Whisper 1.38s, at the median. Both are measured on the same 206 streamed turns.

  • Inworld STT-1 finishes the transcript 316ms 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. Inworld STT-1 shows first text after 10.60% and GPT Realtime Whisper after 3.53%, at the median.

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