Deepgram Flux MultilingualvsGPT-4o Transcribe
Accuracy and speed
Left gets fewer words wrong. Lower has the final text ready sooner.
- Flux Multilingual4.96% · 114ms
- 4o Transcribe3.90% · 652ms
Deepgram Flux Multilingual is ahead on the Ocular Dataset and final-text delay, and GPT-4o Transcribe on the Pipecat Dataset.
Last updated Methodology by Dileep Chagam
Who is better at what
- Pipecat Dataset WER4.96%3.90%
- Ocular Dataset WER4.53%12.45%
- Time to first text793msn/a
- Final-text delay114ms652ms
Lower is better on every measure. Too close to call means the likely ranges overlap.
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Flux Multilingual vs 4o Transcribe FAQ
Which is more accurate, Deepgram Flux Multilingual or GPT-4o Transcribe?
GPT-4o Transcribe is more accurate on clean public clips and Deepgram Flux Multilingual on real conversations. On the 1,000 public Pipecat clips, Deepgram Flux Multilingual scores 4.96% and GPT-4o Transcribe 3.90%, so GPT-4o Transcribe makes fewer errors by 1.06 points. On the eight licensed Ocular recordings, Deepgram Flux Multilingual scores 4.53% and GPT-4o Transcribe 12.45%, so Deepgram Flux Multilingual makes fewer errors by 7.92 points. Word error rate counts incorrect, missing, and extra words, so lower is better.
GPT-4o Transcribe is more accurate on clean public clips and Deepgram Flux Multilingual on real conversations. On the 1,000 public Pipecat clips, Deepgram Flux Multilingual scores 4.96% and GPT-4o Transcribe 3.90%, so GPT-4o Transcribe makes fewer errors by 1.06 points. On the eight licensed Ocular recordings, Deepgram Flux Multilingual scores 4.53% and GPT-4o Transcribe 12.45%, so Deepgram Flux Multilingual makes fewer errors by 7.92 points. Word error rate counts incorrect, missing, and extra words, so lower is better.
Yes. Deepgram Flux Multilingual finishes the transcript 538ms sooner. Deepgram Flux Multilingual has the final transcript 114ms after the speaker stops and GPT-4o Transcribe 652ms, at the median. Both are measured on the same 206 streamed turns.
Deepgram Flux Multilingual is the stronger pick for voice agents: it makes fewer errors on real conversations and finishes the transcript 538ms sooner. A voice agent cannot reply until the final transcript arrives, and the Ocular recordings are real conversations.
Only Deepgram Flux Multilingual. GPT-4o Transcribe returns no text until the speaker stops, which matters if your agent reacts to partial transcripts.