Deepgram Flux Multilingual vs NVIDIA Nemotron 3.5 Transcribe
Accuracy and speed
Left gets fewer words wrong. Lower has the final text ready sooner. Nemotron 3.5 Transcribe doesn't support streaming, so it is not shown.
- Flux Multilingual4.96% · 114ms
- Nemotron 3.5 Transcribe1.89%
NVIDIA Nemotron 3.5 Transcribe is ahead of Deepgram Flux Multilingual on both datasets together and the Pipecat Dataset. The Ocular Dataset is too close to call.
Last updated Methodology by Dileep Chagam
Who is better at what
- Overall WER4.81%2.28%
- Pipecat Dataset WER4.96%1.89%
- Ocular Dataset WER4.53%3.03%
- Time to first text793msn/a
- Final-text delay114msn/a
Lower is better on every measure. Too close to call means the likely ranges overlap.
Flux Multilingual vs Nemotron 3.5 Transcribe FAQ
Which is more accurate, Deepgram Flux Multilingual or NVIDIA Nemotron 3.5 Transcribe?
NVIDIA Nemotron 3.5 Transcribe is more accurate on both datasets. On the 1,000 public Pipecat clips, Deepgram Flux Multilingual scores 4.81% and NVIDIA Nemotron 3.5 Transcribe 2.28%, so NVIDIA Nemotron 3.5 Transcribe makes fewer errors by 2.53 points. On the eight licensed Ocular recordings, Deepgram Flux Multilingual scores 4.96% and NVIDIA Nemotron 3.5 Transcribe 1.89%, so NVIDIA Nemotron 3.5 Transcribe makes fewer errors by 3.07 points. Word error rate counts incorrect, missing, and extra words, so lower is better.
NVIDIA Nemotron 3.5 Transcribe is more accurate on both datasets. On the 1,000 public Pipecat clips, Deepgram Flux Multilingual scores 4.81% and NVIDIA Nemotron 3.5 Transcribe 2.28%, so NVIDIA Nemotron 3.5 Transcribe makes fewer errors by 2.53 points. On the eight licensed Ocular recordings, Deepgram Flux Multilingual scores 4.96% and NVIDIA Nemotron 3.5 Transcribe 1.89%, so NVIDIA Nemotron 3.5 Transcribe makes fewer errors by 3.07 points. Word error rate counts incorrect, missing, and extra words, so lower is better.
They cannot be compared on speed. NVIDIA Nemotron 3.5 Transcribe was tested on whole recordings rather than a live stream, so its speed is not measured.
NVIDIA Nemotron 3.5 Transcribe makes fewer errors on real conversations. NVIDIA Nemotron 3.5 Transcribe was tested on whole recordings rather than a live stream, so its speed is not measured. A voice agent cannot reply until the final transcript arrives, and the Ocular recordings are real conversations.
NVIDIA Nemotron 3.5 Transcribe was tested on whole recordings rather than a live stream, so whether it streams partial text was not measured. Deepgram Flux Multilingual returns partial text before the speaker stops.
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