Nvidia Nemotron 3.5 Transcribe
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Ranked by a public rubric, not by votes: what a comment adds counts, not who wrote it. How comments are ranked · Comment rules
Summary
Nvidia released Nemotron 3.5 Transcribe, an open-weight offline model (34B total, about 4.3B active parameters) covering transcription in 40 languages, translation, speaker labels and audio Q&A for recordings up to an hour. Its own tables show a 4.71 mean WER on nine English Open ASR sets, against 4.94 for Qwen3-ASR-1.7B. The 2,238x throughput figure comes from Nvidia's NIM on one Blackwell GPU; the open-source vLLM path is about two times slower. These results are Nvidia's own and not independently verified.