Nemotron 3.5 Super VL
Parameters
120B
Context Length
1.05M
Modality
Multimodal
Architecture
-
License
-
Release Date
15 Oct 2026
Knowledge Cutoff
-
API Pricing (per 1M)
Input: $0.23 · Output: $0.57
System Requirements
VRAM requirements for different quantization methods and context sizes
1,024 tokens
Consumer
12x RTX 4090
24GB VRAM
Datacenter
4x NVIDIA A100
80GB VRAM
Apple Silicon
3x Apple M3 Max
128GB VRAM
1,048,576 tokens
Consumer
19x RTX 4090
24GB VRAM
Datacenter
6x NVIDIA A100
80GB VRAM
Apple Silicon
4x Apple M3 Max
128GB VRAM
Architecture Diagram
Evaluation Benchmarks
Rank
#155
| Benchmark | Score | Rank |
|---|---|---|
Reasoning | 0.79 | 53 |
Data Analysis | 0.65 | 54 |
Coding | 0.66 | 57 |
General | 0.51 | 61 |
LiveBench Average | 0.51 | 61 |
Intelligence Index | 0.27 | 119 |
Rankings
Overall Rank
#155
Coding Rank
#124
About Nemotron 3.5 Super VL
Nemotron 3.5 Super VL is an open multimodal mixture-of-experts model from NVIDIA with 120B total and 12B active parameters. It processes text, images, video, documents, and GUI screenshots for advanced visual and agentic reasoning.
Technical Specifications
Resources
About Nemotron 3.5
NVIDIA's Nemotron 3.5 family of open models delivers leading efficiency and accuracy for agentic AI applications. Built on an advanced hybrid Mamba-2 SSM and sparse Mixture-of-Experts architecture with native Multi-Token Prediction (MTP) and speculative decoding harnesses, Nemotron 3.5 models are purpose-built for the high-volume execution layer of always-on agents.