Google Chirp 2vsGoogle Chirp 3

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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)
  • Chirp 22.59% · 568ms
  • Chirp 32.00% · 475ms

Google Chirp 3 is ahead of Google Chirp 2 on the Pipecat Dataset, time to first text and final-text delay. The Ocular Dataset is too close to call.

Last updated Methodology by Dileep Chagam

Who is better at what

Chirp 2Chirp 3
  • Pipecat Dataset WER2.59%2.00%
  • Ocular Dataset WER3.80%4.19%
  • Time to first text4.50s4.48s
  • Final-text delay568ms475ms

Lower is better on every measure. Too close to call means the likely ranges overlap.

Chirp 2 vs Chirp 3 FAQ

  • Google Chirp 3 is more accurate on the public clips. On the 1,000 public Pipecat clips, Google Chirp 2 scores 2.59% and Google Chirp 3 2.00%, so Google Chirp 3 makes fewer errors by 0.59 points. On the eight licensed Ocular recordings, Google Chirp 2 scores 3.80% and Google Chirp 3 4.19%, with likely ranges of 2.93 to 4.60% and 2.97 to 5.27%. The ranges overlap, so the difference is too close to call. Word error rate counts incorrect, missing, and extra words, so lower is better.

  • No. Google Chirp 3 finishes the transcript 93ms sooner. Google Chirp 2 has the final transcript 568ms after the speaker stops and Google Chirp 3 475ms, at the median. Both are measured on the same 206 streamed turns.

  • Google Chirp 3 finishes the transcript 93ms 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. Google Chirp 2 shows first text after 4.50s and Google Chirp 3 after 4.48s, at the median, so Google Chirp 3 is 17ms sooner.