# Nemotron 3.5 Super VL (120B-A12B)

> NVIDIA's vision-language model extends the Nemotron 3 Super backbone with C-RADIO vision encoding and shared-weight multi-token prediction. The figure shows the language backbone, with the vision encoder and MTP omitted.

| Property | Value |
| --- | --- |
| Lab | NVIDIA (United States) |
| Released | 2026-10-15 |
| Decoder type | Hybrid MoE |
| Family | Hybrid MoE |
| Scale | 120B total, 12B active (10% active) |
| Context window | 1,048,576 tokens |
| Attention | Mostly Mamba-2 with eight GQA layers |
| Layer mix | 8 GQA + 40 Mamba-2 + 40 LatentMoE; GQA + MoE MTP predictor |
| KV cache / token (bf16) | 8 KiB (Very low) |
| License | OpenMDW 1.1 |

**Key detail:** Routes each token to 22 of 512 experts in a 1,024-dimensional latent space, alongside one shared expert at the full 4,096-dimensional width.

## Architecture concepts

- [Grouped-Query Attention (GQA)](https://llm-atlas-7or.pages.dev/concepts/gqa.md): Several query heads share one key/value head, shrinking the KV cache with little quality loss.
- [Mixture of Experts (MoE)](https://llm-atlas-7or.pages.dev/concepts/moe.md): Many feed-forward experts, but a router sends each token to only a few of them.
- [Latent MoE (Latent MoE)](https://llm-atlas-7or.pages.dev/concepts/latent-moe.md): Routed experts operate in a smaller latent space instead of the full hidden width.
- [Hybrid Attention (Hybrid attention)](https://llm-atlas-7or.pages.dev/concepts/hybrid-attention.md): Mixes cheap linear-attention or state-space layers with a few full-attention layers.
- [Multi-Token Prediction (MTP)](https://llm-atlas-7or.pages.dev/concepts/mtp.md): Extra heads learn to predict several future tokens, and can draft tokens at inference.

## Benchmark (Artificial Analysis Intelligence Index)

- AA Intelligence Index v5.0: total 13.6 (Knowledge Work 19.5, Coding 3.7, Science 5.4, General 25.9)
- AA Intelligence Index v4.3.2: total 26.5 (General 32.6, Scientific 20.6, Coding 23.9, Agents 26)

## Links

- Architecture diagram: https://sebastianraschka.com/llm-architecture-gallery/images/architectures/nemotron-3-5-super-vl-120b-a12b.webp
- config.json: https://huggingface.co/nvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-NVFP4/blob/main/config.json
- License: https://openmdw.ai/license/1-1/
- Tech report: https://research.nvidia.com/labs/nemotron/files/NVIDIA-Nemotron-3.5-Super-and-Lightning-Technical-Report.pdf
- Source card (source of truth): https://sebastianraschka.com/llm-architecture-gallery/#card-nemotron-3-5-super-vl-120b-a12b
- Web page: https://llm-atlas-7or.pages.dev/models/nemotron-3-5-super-vl-120b-a12b/
- JSON: https://llm-atlas-7or.pages.dev/api/models/nemotron-3-5-super-vl-120b-a12b.json

_Data from Sebastian Raschka's LLM Architecture Gallery (https://sebastianraschka.com/llm-architecture-gallery/). Synced 2026-11-04._