Nvidia’s Nemotron 3.5 Super VL takes aim at Claude and GPT models

Nvidia has a new model, and it is picking fights with the biggest names in AI. The company introduced Nemotron 3.5 Super VL, a vision-language model that, according to VentureBeat’s reporting, outperforms Anthropic’s Claude Opus 5 and OpenAI’s GPT-6.1 Sol on specialized benchmarks after post-training. The catch is that no independent benchmarking has been published yet. What Nvidia actually built The full name is Nemotron 3.5 Super VL 120B A12B, which reads like a license plate but carries real information. The model was officially documented on October 15, 2026. It packs around 121 billion total parameters and a context window of 1 million tokens. A context window is the model’s working memory: how much text it can hold in view at once. Under the hood, the model pairs two components. The language side runs on a hybrid mixture-of-experts backbone called NemotronH_Omni_Reasoning_V3. The vision side uses a RADIO v2.5-H encoder, which lets the model take in images alongside text. In this model, there are 512 routed experts, and 22 of them activate for each token. The rest sit idle, which is the point: you get the knowledge of a large model while paying the compute bill of a much small...