AssemblyAI Universal 3.5 ProvsDeepgram Flux Multilingual
Accuracy and speed
Left gets fewer words wrong. Lower has the final text ready sooner.
- Universal 3.5 Pro1.93% · 180ms
- Flux Multilingual4.96% · 114ms
AssemblyAI Universal 3.5 Pro is ahead on the Pipecat Dataset and time to first text, and Deepgram Flux Multilingual on final-text delay. The Ocular Dataset is too close to call. AssemblyAI Universal 3.5 Pro has a newer release: AssemblyAI Universal 3.6 Pro vs Deepgram Flux Multilingual.
Last updated Methodology by Dileep Chagam
Who is better at what
- Pipecat Dataset WER1.93%4.96%
- Ocular Dataset WER4.23%4.53%
- Time to first text489ms793ms
- Final-text delay180ms114ms
Lower is better on every measure. Too close to call means the likely ranges overlap.
Related comparisons
Both providers, every model: AssemblyAI vs Deepgram
Universal 3.5 Pro vs Flux Multilingual FAQ
Which is more accurate, AssemblyAI Universal 3.5 Pro or Deepgram Flux Multilingual?
AssemblyAI Universal 3.5 Pro is more accurate on the public clips. On the 1,000 public Pipecat clips, AssemblyAI Universal 3.5 Pro scores 1.93% and Deepgram Flux Multilingual 4.96%, so AssemblyAI Universal 3.5 Pro makes fewer errors by 3.03 points. On the eight licensed Ocular recordings, AssemblyAI Universal 3.5 Pro scores 4.23% and Deepgram Flux Multilingual 4.53%, with likely ranges of 3.57 to 4.68% and 3.29 to 5.69%. The ranges overlap, so the difference is too close to call. Word error rate counts incorrect, missing, and extra words, so lower is better.
AssemblyAI Universal 3.5 Pro is more accurate on the public clips. On the 1,000 public Pipecat clips, AssemblyAI Universal 3.5 Pro scores 1.93% and Deepgram Flux Multilingual 4.96%, so AssemblyAI Universal 3.5 Pro makes fewer errors by 3.03 points. On the eight licensed Ocular recordings, AssemblyAI Universal 3.5 Pro scores 4.23% and Deepgram Flux Multilingual 4.53%, with likely ranges of 3.57 to 4.68% and 3.29 to 5.69%. 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. Deepgram Flux Multilingual finishes the transcript 66ms sooner. AssemblyAI Universal 3.5 Pro has the final transcript 180ms after the speaker stops and Deepgram Flux Multilingual 114ms, at the median. Both are measured on the same 206 streamed turns.
Deepgram Flux Multilingual finishes the transcript 66ms 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. AssemblyAI Universal 3.5 Pro shows first text after 489ms and Deepgram Flux Multilingual after 793ms, at the median, so AssemblyAI Universal 3.5 Pro is 304ms sooner.