NVIDIA Releases Nemotron 3.5 Transcribe: An Open 30B MoE Model for 40-Language Transcription with ~4B Active Parameters

NVIDIA released Nemotron 3.5 Transcribe, an open-weights speech LLM with about 34B total and 4.3B active parameters that handles 40 languages and audio up to 1 hour, with text instructions selecting verbatim, speaker-attributed, contextual or translated output. NVIDIA reports 4.71% mean WER on 9 public English Open ASR sets, the best open-weights score, while commercial APIs still lead, and notes weak Mandarin meeting accuracy (34.95% cpCER on AliMeeting) and offline-only operation. Weights ship in BF16, FP8, NVFP4 and GGUF under the OpenMDW-1.1 license, with runtimes including vLLM 0.32.0, Transformers and SGLang-Omni 0.2.0.