From the source
NVIDIA just released Nemotron 3.5 Super VL , an open vision-language model built for always-on enterprise agents.
- Nemotron 3.5 Super VL is a 120B-parameter mixture-of-experts model from NVIDIA that activates 12B parameters per token.
- It reads text, images, documents and video, then reasons, calls tools and writes code in one model.
- For developers, 1 open checkpoint replaces a separate text model along with a separate vision model.
- NVIDIA also shipped 2 edge models, Nemotron 3.5 Bolt 74B-A9B and Bolt E4B.
- TL;DR Size: 120B total parameters, 12B active (MoE).
- Context up to 1M tokens.
- Runs on: 1x DGX Spark, 1x H200, 2x H100 or 1x GB200 with the NVFP4 checkpoint.
- A BF16 checkpoint is also published.
- Performance: Strong reasoning, agentic coding and document vision.
- NVIDIA claims up to 5x higher single-GPU throughput than open peers.
- Best: 89.90 on GPQA-Diamond (NVFP4).
- Worst: 17.78 on tau3-bench banking (NVFP4).
- What is Nemotron 3.5 Super VL?
- It is an open multimodal agent model.
- Weights ship under the OpenMDW-1.1 license .
- NVIDIA also released open datasets , training recipes and RL environments in NeMo Gym.
- The model card lists text, image and video inputs with text output.
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