Deepgram Nova-3 vs GPT-4o Transcribe
Accuracy and speed
Left gets fewer words wrong. Lower has the final text ready sooner.
- Nova-33.46% · 103ms
- 4o Transcribe3.90% · 652ms
Deepgram Nova-3 is ahead of GPT-4o Transcribe on both datasets together, the Ocular Dataset and final-text delay. The Pipecat Dataset is too close to call.
Last updated Methodology by Dileep Chagam
Who is better at what
- Overall WER3.78%6.85%
- Pipecat Dataset WER3.46%3.90%
- Ocular Dataset WER4.39%12.45%
- Time to first text1.06sn/a
- Final-text delay103ms652ms
Lower is better on every measure. Too close to call means the likely ranges overlap. For costs, see our breakdown of Deepgram pricing.
Nova-3 vs 4o Transcribe FAQ
Which is more accurate, Deepgram Nova-3 or GPT-4o Transcribe?
Deepgram Nova-3 is more accurate on the public clips. On the 1,000 public Pipecat clips, Deepgram Nova-3 scores 3.78% and GPT-4o Transcribe 6.85%, so Deepgram Nova-3 makes fewer errors by 3.07 points. On the eight licensed Ocular recordings, Deepgram Nova-3 scores 3.46% and GPT-4o Transcribe 3.90%, with likely ranges of 3.16 to 3.78% and 3.43 to 4.42%. The ranges overlap, so the difference is too close to call. Word error rate counts incorrect, missing, and extra words, so lower is better.
Deepgram Nova-3 is more accurate on the public clips. On the 1,000 public Pipecat clips, Deepgram Nova-3 scores 3.78% and GPT-4o Transcribe 6.85%, so Deepgram Nova-3 makes fewer errors by 3.07 points. On the eight licensed Ocular recordings, Deepgram Nova-3 scores 3.46% and GPT-4o Transcribe 3.90%, with likely ranges of 3.16 to 3.78% and 3.43 to 4.42%. The ranges overlap, so the difference is too close to call. 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.
Deepgram Nova-3 and GPT-4o Transcribe are level on the two figures a voice agent depends on most. A voice agent cannot reply until the final transcript arrives, and the Ocular recordings are real conversations.
Only Deepgram Nova-3. GPT-4o Transcribe returns no text until the speaker stops, which matters if your agent reacts to partial transcripts.
Test your voice agent the same way.
Cekura runs these simulated calls on your agent and scores every one.