Nemotron 3 Diarization

A 100M-parameter open-weight speaker diarization model handling up to 8 speakers for both live and recorded audio.

NVIDIA · Open-weight/community models · model

Published in Feed

Overview

NVIDIA released Nemotron 3 Diarization on September 23, 2026, a 100-million-parameter open-weight model that assigns anonymous speaker labels to overlapping speech, expanding support from 4 to 8 speakers versus its predecessor. It offers four configurable latency modes (30.4s, 1.04s, 0.64s, 0.32s) and works as one model for both offline and streaming conversations. It ranked #1 on VoiceArena's Diarization-Bench with a 14.72% Diarization Error Rate, a 40% average relative DER reduction versus NVIDIA's previous baseline at 1.04-second latency, and a claimed 15,113x real-time factor speedup at batch size 32.

This is a sourced directory entry. Features and capabilities are reported in the linked sources; this entry does not document independent Aymorphic testing.

Key features

  • Supports up to 8 speakers, up from 4 in the prior generation
  • Four configurable latency modes from 0.32s to 30.4s
  • Single model for both offline and streaming diarization
  • Handles overlapping speech natively
  • Chunked processing for flexible recording lengths

Use cases

  • Meeting and call transcription with speaker labeling
  • Real-time streaming diarization for live conversations
  • Post-call analytics pipelines needing speaker-attributed transcripts

Pricing

Free; open weights on Hugging Face under the OpenMDW License Agreement v1.1. Hosted integration available via Baseten, DigitalOcean, and Argmax Pro SDK 3.

Pricing reflects the source record and may change. Confirm current terms with the provider.

Dates and sources

Released
23 Sept 2026
Record updated
24 Sept 2026
Record last checked
24 Sept 2026

Explore the Feed

Other entries filed under open-weight/community models; inclusion does not imply equivalent features.

Browse the Feed