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NVIDIA Nemotron 3.5 Transcribe ties Voxtral Small atop Artificial Analysis’s open-weight speech recognition ranking

1 reports 1 reporting sources 2 hours agoNew

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Artificial Analysis ranked NVIDIA’s Nemotron 3.5 Transcribe joint first among open-weight speech-to-text models on its AA-WER Index, tying Mistral’s Voxtral Small with a 2.8% word error rate. Nemotron 3.5 Transcribe is a non-streaming transcription model with 30B total parameters and 4B active parameters, compared with Voxtral Small’s 24B active parameters. On AA-AgentTalk, Artificial Analysis’s dataset of voice agent conversations, the evaluator reported a 1.8% word error rate for Nemotron 3.5 Transcribe versus 2.3% for Voxtral Small.

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Latest development10/28 23:05 (UTC+8)
NVIDIA’s Nemotron 3.5 Transcribe ties for #1 among open-weight speech-to-text models at 2.8% WERArtificial Analysis · X

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10/28
  1. Artificial Analysis · X
    NVIDIA’s Nemotron 3.5 Transcribe ties for #1 among open-weight speech-to-text models at 2.8% WER

    Artificial Analysis reports that NVIDIA’s new Nemotron 3.5 Transcribe ties Mistral’s Voxtral Small for #1 among open-weight models on its AA-WER Index at 2.8% WER. The non-streaming transcription model has 30B total and 4B active parameters, matching Voxtral Small’s accuracy with 6x fewer active parameters (4B vs. 24B). On AA-AgentTalk, Artificial Analysis’s voice agent conversation dataset, it scores 1.8% WER versus Voxtral Small’s 2.3%.

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