Deepgram Flux Multilingual vs GPT-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 both datasets together, 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
- Overall WER4.81%6.85%
- 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. For costs, see our breakdown of Deepgram pricing.
Flux Multilingual vs 4o Transcribe FAQ
Which is more accurate, Deepgram Flux Multilingual or GPT-4o Transcribe?
Deepgram Flux Multilingual is more accurate on clean public clips and GPT-4o Transcribe on real conversations. On the 1,000 public Pipecat clips, Deepgram Flux Multilingual scores 4.81% and GPT-4o Transcribe 6.85%, so Deepgram Flux Multilingual makes fewer errors by 2.04 points. On the eight licensed Ocular recordings, Deepgram Flux Multilingual scores 4.96% and GPT-4o Transcribe 3.90%, so GPT-4o Transcribe makes fewer errors by 1.06 points. Word error rate counts incorrect, missing, and extra words, so lower is better.
Deepgram Flux Multilingual is more accurate on clean public clips and GPT-4o Transcribe on real conversations. On the 1,000 public Pipecat clips, Deepgram Flux Multilingual scores 4.81% and GPT-4o Transcribe 6.85%, so Deepgram Flux Multilingual makes fewer errors by 2.04 points. On the eight licensed Ocular recordings, Deepgram Flux Multilingual scores 4.96% and GPT-4o Transcribe 3.90%, so GPT-4o Transcribe makes fewer errors by 1.06 points. Word error rate counts incorrect, missing, and extra words, so lower is better.
Final-text delay was not measured for one or both, so speed cannot be compared. Both are measured on the same 206 streamed turns.
GPT-4o Transcribe makes fewer errors on real conversations, and the two are not separated on speed. 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.
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