Cartesia Ink 2 vs Deepgram Flux Multilingual

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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)
  • Ink 22.39% · 123ms
  • Flux Multilingual4.96% · 114ms

Cartesia Ink 2 is ahead on both datasets together and the Pipecat Dataset, and Deepgram Flux Multilingual on 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

Ink 2Flux Multilingual
  • Overall WER2.63%4.81%
  • Pipecat Dataset WER2.39%4.96%
  • Ocular Dataset WER3.09%4.53%
  • Time to first text1.51s793ms
  • Final-text delay123ms114ms

Lower is better on every measure. Too close to call means the likely ranges overlap. For its voices, see our notes on Cartesia text to speech.

Ink 2 vs Flux Multilingual FAQ

  • Cartesia Ink 2 is more accurate on both datasets. On the 1,000 public Pipecat clips, Cartesia Ink 2 scores 2.63% and Deepgram Flux Multilingual 4.81%, so Cartesia Ink 2 makes fewer errors by 2.18 points. On the eight licensed Ocular recordings, Cartesia Ink 2 scores 2.39% and Deepgram Flux Multilingual 4.96%, so Cartesia Ink 2 makes fewer errors by 2.57 points. Word error rate counts incorrect, missing, and extra words, so lower is better.

  • No. Deepgram Flux Multilingual finishes the transcript 718ms sooner. Cartesia Ink 2 has the final transcript 1.51s after the speaker stops and Deepgram Flux Multilingual 793ms, at the median. Both are measured on the same 206 streamed turns.

  • It is a trade-off. Cartesia Ink 2 makes fewer errors on real conversations, while Deepgram Flux Multilingual finishes the transcript 718ms 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. Cartesia Ink 2 shows first text after 3.09% and Deepgram Flux Multilingual after 4.53%, at the median.

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