← Friday, October 16, 2026AgentsRelease

Nemotron 3.5 Super VL combines multimodal reasoning and agent tool use

developer.nvidia.com by Michelle Horton 11 min read Editor score 8/10

NVIDIA describes a 120B-parameter MoE model activating 12B parameters per token, with tool use and text, image, document, and video understanding; it reports up to 5× throughput versus open models in its size category. The architecture and claimed throughput are relevant to teams choosing models for specialized agents.

What

- Nemotron 3.5 Super VL is an open, customizable 120B-parameter MoE model that activates 12B parameters per token.

How

- It combines reasoning, instruction following, tool use, and text, image, document, and video understanding in one model.

Why it matters

- NVIDIA reports up to 5× higher single-GPU throughput for agentic tasks than other open models in its size category.

Read on developer.nvidia.com →

Headline, summary, brief and diagram are written by a model from the source's own text; the link, byline and numbers come from the source. Read the original before relying on a claim.