Left gets fewer words wrong. Lower has the final text ready sooner.
Soniox STT-RT v5 is ahead of GPT-4o Mini Transcribe on the Pipecat Dataset and final-text delay. The Ocular Dataset is too close to call.
Last updated Methodology by Dileep Chagam
Lower is better on every measure. Too close to call means the likely ranges overlap.
Soniox STT-RT v5 is more accurate on the public clips. On the 1,000 public Pipecat clips, GPT-4o Mini Transcribe scores 3.35% and Soniox STT-RT v5 2.54%, so Soniox STT-RT v5 makes fewer errors by 0.81 points. On the eight licensed Ocular recordings, GPT-4o Mini Transcribe scores 4.45% and Soniox STT-RT v5 3.92%, with likely ranges of 3.22 to 5.55% and 2.60 to 4.86%. The ranges overlap, so the difference is too close to call. Word error rate counts incorrect, missing, and extra words, so lower is better.
Soniox STT-RT v5 is more accurate on the public clips. On the 1,000 public Pipecat clips, GPT-4o Mini Transcribe scores 3.35% and Soniox STT-RT v5 2.54%, so Soniox STT-RT v5 makes fewer errors by 0.81 points. On the eight licensed Ocular recordings, GPT-4o Mini Transcribe scores 4.45% and Soniox STT-RT v5 3.92%, with likely ranges of 3.22 to 5.55% and 2.60 to 4.86%. 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. Soniox STT-RT v5 finishes the transcript 592ms sooner. GPT-4o Mini Transcribe has the final transcript 630ms after the speaker stops and Soniox STT-RT v5 38ms, at the median. Both are measured on the same 206 streamed turns.
Soniox STT-RT v5 finishes the transcript 592ms 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.
Only Soniox STT-RT v5. GPT-4o Mini Transcribe returns no text until the speaker stops, which matters if your agent reacts to partial transcripts.