Deepgram Flux English vs Google Chirp 2

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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
  • Chirp 22.59% · 568ms

Deepgram Flux English is ahead on time to first text and final-text delay, and Google Chirp 2 on both datasets together and the Pipecat Dataset. The Ocular Dataset is too close to call. Google Chirp 2 has a newer release: Deepgram Flux English vs Google Chirp 3.

Last updated Methodology by Dileep Chagam

Who is better at what

Flux EnglishChirp 2
  • Overall WER4.00%3.01%
  • Pipecat Dataset WER3.90%2.59%
  • Ocular Dataset WER4.18%3.80%
  • Time to first text791ms4.50s
  • Final-text delay108ms568ms

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

Flux English vs Chirp 2 FAQ

  • Google Chirp 2 is more accurate on both datasets. On the 1,000 public Pipecat clips, Deepgram Flux English scores 4.00% and Google Chirp 2 3.01%, so Google Chirp 2 makes fewer errors by 0.99 points. On the eight licensed Ocular recordings, Deepgram Flux English scores 3.90% and Google Chirp 2 2.59%, so Google Chirp 2 makes fewer errors by 1.31 points. Word error rate counts incorrect, missing, and extra words, so lower is better.

  • Yes. Deepgram Flux English finishes the transcript 3.71s sooner. Deepgram Flux English has the final transcript 791ms after the speaker stops and Google Chirp 2 4.50s, at the median. Both are measured on the same 206 streamed turns.

  • It is a trade-off. Google Chirp 2 makes fewer errors on real conversations, while Deepgram Flux English finishes the transcript 3.71s sooner. 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 Google Chirp 2 after 3.80%, at the median.

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