Deepgram Flux Multilingual vs GPT-4o Mini Transcribe
Accuracy and speed
Left gets fewer words wrong. Lower has the final text ready sooner.
- Flux Multilingual4.96% · 114ms
- 4o Mini Transcribe3.35% · 630ms
GPT-4o Mini Transcribe is ahead on both datasets together and the Pipecat Dataset, 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%3.73%
- Pipecat Dataset WER4.96%3.35%
- Ocular Dataset WER4.53%4.45%
- Time to first text793msn/a
- Final-text delay114ms630ms
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 Mini Transcribe FAQ
Which is more accurate, Deepgram Flux Multilingual or GPT-4o Mini Transcribe?
GPT-4o Mini Transcribe is more accurate on both datasets. On the 1,000 public Pipecat clips, Deepgram Flux Multilingual scores 4.81% and GPT-4o Mini Transcribe 3.73%, so GPT-4o Mini Transcribe makes fewer errors by 1.08 points. On the eight licensed Ocular recordings, Deepgram Flux Multilingual scores 4.96% and GPT-4o Mini Transcribe 3.35%, so GPT-4o Mini Transcribe makes fewer errors by 1.61 points. Word error rate counts incorrect, missing, and extra words, so lower is better.
GPT-4o Mini Transcribe is more accurate on both datasets. On the 1,000 public Pipecat clips, Deepgram Flux Multilingual scores 4.81% and GPT-4o Mini Transcribe 3.73%, so GPT-4o Mini Transcribe makes fewer errors by 1.08 points. On the eight licensed Ocular recordings, Deepgram Flux Multilingual scores 4.96% and GPT-4o Mini Transcribe 3.35%, so GPT-4o Mini Transcribe makes fewer errors by 1.61 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 Mini 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 Mini Transcribe returns no text until the speaker stops, which matters if your agent reacts to partial transcripts.
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