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Nvidia’s new Nemotron 3.5 Super VL is another step forward for US open-weight AI

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Nvidia’s new Nemotron 3.5 Super VL is another step forward for US open-weight AI

Nvidia's new models join a wave of open-weight releases from US labs on the heels of the Hugging Face hack.

China-based AI labs have had the upper hand on competitive open-weight AI models over the last few years, but a recent surge in Western-made open models is challenging that.

Nvidia’s new model, the open-weight Nemotron 3.5 Super VL, aims to be the latest data point in that surge. The 120-billion-parameter model, available today, targets the industry’s increasing focus on agentic work by delivering “the fastest task completion and highest accuracy for specialized, always-on agents,” according to Nvidia.

“As the fastest open agentic model in its class — 5x faster than the next best — it helps enterprise agents complete high-volume tasks faster across workflows that span days or weeks,” Nvidia said in the release. That’s based on Artificial Analysis’ benchmark testing of the model against its similarly sized competitors; InclusionAI’s Ling 3.0 Flash and DeepSeek’s V4.1 Flash came in second and third, respectively, but with significant distance between them and Super VL.

Nvidia also said Super VL achieves top-tier accuracy for specialized agents with post-training. The company cited how far post-training a base version of the model could take its capabilities — in one case, a 44% gain in medical insurance claims, which put the model far above Claude Opus 5. While that means the base model didn’t top proprietary frontier models on its own, it does give enterprises the chance to tailor the model to their needs and see highly specific gains.


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