Nvidia Opens 120B Nemotron 3.5 Super VL, Claims Task Wins
TL;DR
- Nvidia released Nemotron 3.5 Super VL, a 120-billion-parameter open multimodal model, under its OpenMDW license through Hugging Face, OpenRouter, ModelScope and NIM.
- Post-training raised accuracy on five specialized tasks by 9 to 44%, with medical insurance claims going from 28% to 72% versus 38% for Claude Opus 5.
- A smaller Bolt 74B-A9B variant fits in 24GB with native 2-bit compression, and a 4GB edge model, Bolt E4B, is slated for October 23.
Nvidia on October 15 released Nemotron 3.5 Super VL, a 120-billion-parameter open multimodal model aimed at agents that read PDFs, charts, tables, images and webpages, and says post-trained versions beat Claude Opus 5 and GPT-6.1 Sol on five domain tasks.
The comparison chart in VentureBeat's writeup covers "document intelligence, security attack resilience, financial receipt extraction, scientific experimentation and medical insurance claims," with gains Nvidia puts at 9 to 44% after post-training. On medical insurance claims, accuracy rises from roughly 28% to 72%, compared with about 38% for Claude Opus 5. On security attack resilience it rises from roughly 35% to 76%, compared with about 66% for GPT-6.1 Sol. The report flags that "NVIDIA has not supplied the task definitions, sample sizes or testing protocol with the chart, so a buyer should test the same approach against its own work."
Nvidia is also pushing two smaller Bolt variants: a 74B-A9B model with native 2-bit compression that fits in 24GB of GPU memory, and a 4GB Bolt E4B edge model slated for October 23. The training recipe spans roughly 26 trillion tokens, 3.8 million post-training samples, and reinforcement learning across about 100 open environments. Weights ship under Nvidia's OpenMDW license, which "permits commercial use, fine-tuning and redistribution," and distribute through Hugging Face, OpenRouter, ModelScope and NIM, with a rate-limited free Nvidia-hosted API for development and NVIDIA AI Enterprise at $4,500 per GPU per year for production.
Nvidia describes Super VL as "up to five times faster than a comparable open model," citing near 625 output tokens per second on four Blackwell B200 GPUs. The launch follows Nvidia's agreement to acquire Hugging Face, a major distribution platform for open models.
The drop lands in a run of Nvidia coverage our tracker has clocked at 201 stories in the last 90 days, and in the broader open-source lane where 344 releases have crossed the feed in the same window.
Originally reported by venturebeat.com
Read the original article →Original headline: Nvidia Open-Weights Nemotron 3.5 Super VL, a 120B MoE With 12B Active Parameters and 1M Context