Nvidia: Nvidia Nemotron 3.5 Super VL
nvidia/nvidia-nemotron-3.5-super-vl
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.
Model specifications
- Input
- text, image, video
- Output
- text
- Context
- 262,144 tokens
- Max output
- 262,144 tokens
- Input price
- $0.2 / 1M tokens
- Output price
- $1 / 1M tokens
- Released
- 2026-10-16
Capabilities
- Streaming
- Function calling
- Vision
- JSON mode
Provider pricing, discounts and data privacy
Compare effective provider prices, published discounts, regions, retention policies, training use, compliance, and privacy links by service tier.
Standard service tier
1 available provider · tier input average $0.2 / 1M tokens · tier output average $1 / 1M tokens
DeepInfra
Tier: Standard · Region: US · Quantization: fp4
Pricing
- Input
- $0.2 / 1M tokens
- Output
- $1 / 1M tokens
- Cache read
- $0.1 / 1M tokens
No provider discount is currently published.
Data privacy and compliance
- Region
- US
- Zero data retention
- Yes
- Data retention
- Zero retention
- Used for training
- No
- Data collection
- Moderated
- No
- GDPR compliant
- Yes
- HIPAA compliant
- No
- SOC 2 certified
- Yes
- BYOK supported
- Yes
Privacy policy · Terms · Official website · Documentation · Status · Support
Frequently asked questions
- What is Nvidia: Nvidia Nemotron 3.5 Super VL?
- 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.
- How much does Nvidia: Nvidia Nemotron 3.5 Super VL cost?
- Input costs start at $0.2 / 1M tokens and output costs start at $1 / 1M tokens. Provider-level prices vary by service tier.
- What is the context length of Nvidia: Nvidia Nemotron 3.5 Super VL?
- Nvidia: Nvidia Nemotron 3.5 Super VL supports a 262,144 token context window and up to 262,144 output tokens.
- What capabilities does Nvidia: Nvidia Nemotron 3.5 Super VL support?
- Nvidia: Nvidia Nemotron 3.5 Super VL supports Streaming, Function calling, Vision, JSON mode.
- Which providers offer Nvidia: Nvidia Nemotron 3.5 Super VL?
- Nvidia: Nvidia Nemotron 3.5 Super VL is available from DeepInfra.
- How do providers handle data privacy for Nvidia: Nvidia Nemotron 3.5 Super VL?
- 1 of 1 providers report that customer data is not used for training, and 1 offer zero-data-retention routing. Retention, compliance, and privacy-policy links are listed per provider.