Intelligence index
Outperforms 72% of compared models

NVIDIA Nemotron 3.5 Super VL is an open multimodal mixture-of-experts model from NVIDIA, with 12B active parameters out of 120B total. It takes text, images, documents, GUI screenshots, and video as input and returns text, and is built for long-running agents that combine visual understanding with reasoning and tool use.
It uses a hybrid Mamba-Transformer architecture with multi-token prediction and supports a 1M-token context. Typical uses include document intelligence, web research, coding validation, customer service, and video understanding. Reasoning is on by default and can be turned off or given a token budget.
Outperforms 72% of compared models
Elo scores and win rates across design and agent tasks.
1169Elo
Win rate 35.1%
1120Elo
Win rate 28.6%
1153Elo
Win rate 33%
1134Elo
Win rate 30.3%
1110Elo
Win rate 29.4%