GoKawiilNvidia releases open-weight Nemotron 3.5 Super VL agentic AI model
Nvidia has launched Nemotron 3.5 Super VL, a 120-billion-parameter open-weight model aimed at agentic enterprise tasks. The company says benchmark testing by Artificial Analysis shows it is five times faster than the next-best open model in its class, outperforming InclusionAI's Ling 3.0 Flash and DeepSeek's V4.1 Flash. Nvidia also cited a 44% accuracy gain in a medical insurance claims task after post-training, surpassing Claude Opus 5 on that specific benchmark.
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The release adds to a wave of Western open-weight models that could narrow the gap with Chinese labs, which have led open-weight AI development in recent years. Because the model is open-weight, Nvidia argues enterprises can post-train it on proprietary data and run it on their own infrastructure, which may offer more customization and control than closed proprietary models. The emphasis on post-training gains suggests Nvidia is positioning the base model as a starting point rather than a finished product competing directly with frontier closed systems.
- Nemotron 3.5 Super VL is a 120B-parameter open-weight model focused on agentic workflows.
- Nvidia claims it is 5x faster than the next-best open model per Artificial Analysis benchmarks.
- Post-training reportedly boosted accuracy by 44% on a medical insurance claims task, beating Claude Opus 5 there.
Source: zdnet.com — Radhika Rajkumar, 2026-10-15
Published there as: “Nvidia’s new Nemotron 3.5 Super VL is another step forward for US open-weight AI”
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