Audience

AI developers, machine learning engineers, enterprise AI teams, software engineers, cybersecurity researchers, data scientists, financial technology companies, and organizations building customizable multimodal agents for document intelligence, coding, video analysis, and automated business workflows

About Nemotron 3.5 Super VL

NVIDIA Nemotron 3.5 Super VL is an open, customizable multimodal AI model designed for complex reasoning, autonomous agents, and enterprise workflows. The model uses a 120-billion-parameter mixture-of-experts architecture that activates approximately 12 billion parameters per token to balance computational efficiency with model capabilities. It combines text, image, document, and video understanding with instruction following, coding, and external tool use. Its multimodal capabilities support document analysis, chart interpretation, optical character recognition, video understanding, and automated information extraction. Developers can customize the model through supervised fine-tuning, low-rank adaptation, and reinforcement learning using NVIDIA NeMo. Nemotron 3.5 Super VL supports deployment in local, cloud, and data center environments for applications such as software engineering, financial document processing, cybersecurity analysis, and enterprise automation.

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Pricing

Starting Price:
$0
Pricing Details:
The model is available at no charge under the OpenMDW-1.1 license. Hosted inference through third-party providers may have separate charges.
Free Version:
Free Version available.

Integrations

API:
Yes, Nemotron 3.5 Super VL offers API access
See Integrations

Ratings/Reviews - 1 User Review

Overall 5.0 / 5
ease 5.0 / 5
More Reviews Write a Review

Company Information

NVIDIA
Founded: 1993
United States
nvidia.com

Videos and Screen Captures

Dark AI Planner Agent chat interface showing a request about RTX6000 allocation, bullet-point constraints, and status text reading “Acknowledging constraints...” and “Solving...”.

Dark AI Planner Agent chat interface showing a request about RTX6000 allocation, bullet-point constraints, and status text reading “Acknowledging constraints...” and “Solving...”.

Dark AI Planner Agent chat interface showing a request about RTX6000 allocation, bullet-point constraints, and status text reading “Acknowledging constraints...” and “Solving...”. A three-stage isometric workflow labeled “LLM,” “Optimize,” and “Deploy,” connected by directional arrows.
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Product Details

Platforms Supported
Cloud
Linux
On-Premises
Training
Documentation

Nemotron 3.5 Super VL Frequently Asked Questions

Q: What kinds of users and organization types does Nemotron 3.5 Super VL work with?
Q: What languages does Nemotron 3.5 Super VL support in their product?
Q: What other applications or services does Nemotron 3.5 Super VL integrate with?
Q: Does Nemotron 3.5 Super VL have an API?
Q: What type of training does Nemotron 3.5 Super VL provide?
Q: How much does Nemotron 3.5 Super VL cost?

Nemotron 3.5 Super VL Product Features

Nemotron 3.5 Super VL Verified User Reviews

Write a Review
  • A Nemotron 3.5 Super VL User
    AI Developer
    Used the software for: Less than 6 months
    Frequency of Use: Daily
    User Role: User, Deployment
    Company Size: 26 - 99
    Ease
    Pricing
    Probability You Would Recommend?
    1 2 3 4 5 6 7 8 9 10

    "Frontier open source agentic AI"

    Posted 2026-10-15

    Pros: The agent performance is probably the biggest win. It is strong for coding, web research, document analysis, cybersecurity, and other multi-step tasks where the model has to understand what it is looking at and then actually do something with that information. I also really like the efficiency. NVIDIA says the 120B model only activates 12B parameters per token and can hit more than 600 output tokens per second in some agentic evaluations, which makes it much more practical for high-volume workflows than the headline model size suggests. The openness is another advantage. NVIDIA is releasing model checkpoints, datasets, training recipes, and customization tools through NeMo, so teams can adapt it to their own documents, policies, tools, and specialized workflows instead of depending entirely on a closed API.

    Cons: This is not the model I would pick if I just wanted the easiest plug-and-play chatbot experience.

    Overall: Nemotron 3.5 Super VL feels like one of the more practical open models for serious multimodal agents. The combination of vision, reasoning, tool use, customization, and strong inference efficiency makes it especially compelling for enterprise workflows where one agent needs to understand both documents and the systems around them.

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