NVIDIA's Nemotron 3.5 Transcribe ties for #1 among open weights Speech to Text models…
This is a dev post classified by AGK Intelligence as Other (a tool drop), kept by the Dev Radar because it carries real work, not commentary.
NVIDIA's Nemotron 3.5 Transcribe ties for #1 among open weights Speech to Text models with 2.8% WER, using just 4B active parameters Nemotron 3.5 Transcribe is NVIDIA's new open weights Speech to Text model for non-streaming transcription, with 30B total and 4B active parameters, and the most accurate NVIDIA model on our non-streaming Speech to Text leaderboard. Key takeaways ➤ Accuracy: Nemotron 3.5 Transcribe scores 2.8% on the AA-WER Index, tied with Mistral's Voxtral Small for #1 among open-weight models. It leads Voxtral Small on AA-AgentTalk, our dataset of voice agent conversations,
Posted by Artificial Analysis (173.4k followers) 2 days ago · 573 likes · 103.8k views · view the original post on X. Kept by the Dev Radar as Other.
More dev work like this
- took @rehan_shei's open-source pixel fx into a real 3D scene and made the wizard… — @majidmanzarpour
- 彭博终端贵得让个人用户直摇头，这感受你应该不陌生。 — @bkdgiffug
- I went quiet for a few weeks because what I’m building now is better than every library… — @dwhitedesign
- Celestia’s Voyager handled 21M transactions per second in its first big test — @BSCNews
- Our annual kiroween hackathon is here, and submissions are officially open. 🎃 — @kirodotdev
- Em paralelo ao projeto do Launcher de Colin McRae (que tá funcionando bonitinho,… — @AkitaOnRails
- 😱炸了！智谱Zai创始人唐杰在清华课堂硬核算账：大模型尽头是算账！揭秘GLM系列模型跑在纯国产芯片是怎么“玩得起”的？！ — @NFT_Chen
- Ano passado brinquei de 4K upscaling com Real ERSGAN. Bom ver o claudinho automatizando… — @AkitaOnRails
Every post is read and classified by AGK Intelligence: what it is, which market it belongs to, and whether the link is a real tool. 31.2k posts from 5k X accounts over the last 21 days, 8.8k tools, 12 markets. New posts are collected several times an hour and the full ranking is recomputed every hour — last update 2026-10-30 20:27 UTC. Full method.