Deepgram Flux Multilingual vs Fish Audio Transcribe Stream 1
Accuracy and speed
Left gets fewer words wrong. Lower has the final text ready sooner.
- Flux Multilingual4.96% · 114ms
- Transcribe Stream 11.90% · 123ms
Fish Audio Transcribe Stream 1 is ahead on both datasets together, the Pipecat Dataset and time to first text, and Deepgram Flux Multilingual on final-text delay. The Ocular Dataset is too close to call.
Last updated Methodology by Dileep Chagam
Who is better at what
- Overall WER4.81%2.21%
- Pipecat Dataset WER4.96%1.90%
- Ocular Dataset WER4.53%2.78%
- Time to first text793ms730ms
- Final-text delay114ms123ms
Lower is better on every measure. Too close to call means the likely ranges overlap. For costs, see our breakdown of Deepgram pricing.
Flux Multilingual vs Transcribe Stream 1 FAQ
Which is more accurate, Deepgram Flux Multilingual or Fish Audio Transcribe Stream 1?
Fish Audio Transcribe Stream 1 is more accurate on both datasets. On the 1,000 public Pipecat clips, Deepgram Flux Multilingual scores 4.81% and Fish Audio Transcribe Stream 1 2.21%, so Fish Audio Transcribe Stream 1 makes fewer errors by 2.61 points. On the eight licensed Ocular recordings, Deepgram Flux Multilingual scores 4.96% and Fish Audio Transcribe Stream 1 1.90%, so Fish Audio Transcribe Stream 1 makes fewer errors by 3.06 points. Word error rate counts incorrect, missing, and extra words, so lower is better.
Fish Audio Transcribe Stream 1 is more accurate on both datasets. On the 1,000 public Pipecat clips, Deepgram Flux Multilingual scores 4.81% and Fish Audio Transcribe Stream 1 2.21%, so Fish Audio Transcribe Stream 1 makes fewer errors by 2.61 points. On the eight licensed Ocular recordings, Deepgram Flux Multilingual scores 4.96% and Fish Audio Transcribe Stream 1 1.90%, so Fish Audio Transcribe Stream 1 makes fewer errors by 3.06 points. Word error rate counts incorrect, missing, and extra words, so lower is better.
No. Fish Audio Transcribe Stream 1 finishes the transcript 63ms sooner. Deepgram Flux Multilingual has the final transcript 793ms after the speaker stops and Fish Audio Transcribe Stream 1 730ms, at the median. Both are measured on the same 206 streamed turns.
Fish Audio Transcribe Stream 1 is the stronger pick for voice agents: it makes fewer errors on real conversations and finishes the transcript 63ms 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 Fish Audio Transcribe Stream 1 after 2.78%, at the median.
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