Deepgram Flux Multilingual vs Google Chirp 2
Accuracy and speed
Left gets fewer words wrong. Lower has the final text ready sooner.
- Flux Multilingual4.96% · 114ms
- Chirp 22.59% · 568ms
Deepgram Flux Multilingual 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 Multilingual vs Google Chirp 3.
Last updated Methodology by Dileep Chagam
Who is better at what
- Overall WER4.81%3.01%
- Pipecat Dataset WER4.96%2.59%
- Ocular Dataset WER4.53%3.80%
- Time to first text793ms4.50s
- Final-text delay114ms568ms
Lower is better on every measure. Too close to call means the likely ranges overlap.
Flux Multilingual vs Chirp 2 FAQ
Which is more accurate, Deepgram Flux Multilingual or Google Chirp 2?
Google Chirp 2 is more accurate on both datasets. On the 1,000 public Pipecat clips, Deepgram Flux Multilingual scores 4.81% and Google Chirp 2 3.01%, so Google Chirp 2 makes fewer errors by 1.80 points. On the eight licensed Ocular recordings, Deepgram Flux Multilingual scores 4.96% and Google Chirp 2 2.59%, so Google Chirp 2 makes fewer errors by 2.37 points. Word error rate counts incorrect, missing, and extra words, so lower is better.
Google Chirp 2 is more accurate on both datasets. On the 1,000 public Pipecat clips, Deepgram Flux Multilingual scores 4.81% and Google Chirp 2 3.01%, so Google Chirp 2 makes fewer errors by 1.80 points. On the eight licensed Ocular recordings, Deepgram Flux Multilingual scores 4.96% and Google Chirp 2 2.59%, so Google Chirp 2 makes fewer errors by 2.37 points. Word error rate counts incorrect, missing, and extra words, so lower is better.
Yes. Deepgram Flux Multilingual finishes the transcript 3.70s sooner. Deepgram Flux Multilingual has the final transcript 793ms 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 Multilingual finishes the transcript 3.70s 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 Multilingual shows first text after 4.53% and Google Chirp 2 after 3.80%, at the median.
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