NVIDIA Open-Sources Nemotron 3.5 Vision-Language Model Family

On October 15, NVIDIA released and open-sourced the multimodal model Nemotron 3.5 Super VL, which merges vision and text understanding into a single model for long-running Agent workloads, with weights, datasets, and training recipes all made public.

Confirmed

• Architecture and specs: a MoE with 120B total parameters and 12B active per token, plus a vision encoder; supports text, image, document, and video understanding along with reasoning and tool calling, with up to 1M tokens of context (Artificial Anlys data)
• Hugging Face releases include base, BF16, and NVFP4 quantized versions plus a LiLiCorr speculative decoding config; per NVIDIA team member gordicaleksa, the open release covers Base BF16 and post-trained BF16/NVFP4 weights, datasets, and training recipes (kuchaev post)
• Performance: NVIDIA cites Artificial Analysis data showing 640 token/s output speed, roughly 5x faster than open models in the same Intelligence Index band at 100K input tokens; on 4 B200 GPUs, 10,000 SWE-Bench Pro coding tasks completed in about 12 hours with up to 4x speedups; gordicaleksa reports SWE-bench Pro 51.78% and 2.34x throughput
• Leaderboards: Artificial Analysis gives it an Intelligence Index of 26, topping US open-weights models; kuchaev says it beats their own Ultra-3.0 on most benchmarks
• Ecosystem: Baseten (Model APIs and Loops) and Together AI offer day 0 support, with Together highlighting NVFP4 KV cache; official demos include a visual investigation Agent that spots store safety hazards, analyzes charts, and audits accounts, runnable on a single DGX Spark
• NVIDIA also launched the 74B-A9B Nemotron 3.5 Bolt (2-bit quantized to fit local Agents in 24GB of VRAM) and the Lightning model (mentioned by gordicaleksa)
• NVIDIA showed accuracy gains after post-training across five verticals: document intelligence, cybersecurity, finance, scientific experiments, and travel

Why it matters

• Unifying text and vision in one model removes the overhead of passing context between separate text and vision models in traditional setups, directly targeting the hot area of multimodal Agent workflows
• Fully open (weights + data + recipes), high throughput, and single-GPU runnability lower barriers to local and cloud deployment, shaking up the open multimodal model landscape

2026-10-15 ~ 2026-10-16 · 31 related posts

Full story(3 episodes)→

• Episode 1: NVIDIA Launches Nemotron 3.5: Super 120B and Lightning 30B Dual Models(2026-10-15, 5 posts)
• Episode 2: NVIDIA Open-Sources Nemotron 3.5 Vision-Language Model Family(2026-10-15, 31 posts)
• Episode 3: NVIDIA Nemotron 3.5 Super VL tops US open-weight models(2026-10-15, 2 posts)

• NVIDIA releases Nemotron 3.5 Super VL 120B-A12B open model family — jinnyjuice · 2026-10-15
• NVIDIA Nemotron 3.5 Super VL, an open-weight visual reasoning model, is live on Together AI — togethercompute · 2026-10-15
• NVIDIA open-sources Nemotron 3.5 Bolt 74B VLM that fits local agents in 24GB via native 2-bit quant — jacek2023 · 2026-10-15
• NVIDIA explains how Nemotron 3.5 Super VL unifies text and vision in one model — NVIDIAAI · 2026-10-15
• NVIDIA: Nemotron 3.5 Super VL completes 10,000 coding tasks up to 4x faster — NVIDIAAI · 2026-10-15
• NVIDIA shows post-training accuracy gains for Nemotron 3.5 Super VL across five domains — NVIDIAAI · 2026-10-15
• [source] NVIDIA open-sources Nemotron 3.5 Super VL: 120B MoE with 5x faster agentic throughput — NVIDIAAI · 2026-10-15
• NVIDIA charts Nemotron 3.5 Super VL at 5x faster throughput among open-weights models — NVIDIAAI · 2026-10-15
• [source] NVIDIA releases open Nemotron 3.5 Super VL: 120B total params, 12B active for vision agents — nvidia · 2026-10-15
• NVIDIA ships Nemotron-3.5-Super-VL: 120B/12B-active VLM beats Ultra-3.0 on benchmarks — kuchaev · 2026-10-15
• NVIDIA open-sources Nemotron 3.5 Super VL, a 120B multimodal model built for long-running agents — NVIDIA Developer · 2026-10-15
• [source] NVIDIA open-sources Nemotron-3.5-Super-VL: 120B weights, datasets, recipes and tech report — kuchaev · 2026-10-15
• NVIDIA's open 120B Super VL model powers a visual agent that audits your AI bills — NVIDIA Developer · 2026-10-15
• NVIDIA's open Nemotron 3.5 Super VL (120B-A12B) lands on Baseten day 0 — baseten · 2026-10-15
• Nemotron 3.5 Super VL Goes Live on Baseten with LoRA Fine-tuning SDK — baseten · 2026-10-15
• NVIDIA ships Nemotron 3.5 Super & Lightning: 120B MoE VLM scores 51.78% on SWE-bench Pro — gordic_aleksa · 2026-10-15
• NVIDIA ships two open Nemotron 3.5 Bolt models: a 74B-A9B MoE and a mobile-friendly E4B — HankYeomans · 2026-10-15
• NVIDIA's Nemotron 3.5 Super VL scores 26 to become top US open-weight model; Bolt 74B nears Ultra at 1/7 the params — ArtificialAnlys · 2026-10-15
• NVIDIA ships two Nemotron-3.5 open models in one day: Super for H100, Bolt for RTX — kuchaev · 2026-10-16
• NVIDIA squeezes a 74B open model into 24GB VRAM, plus a 120B agent model that reads PDFs — mawcopolow · 2026-10-16

11 near-duplicate retellings: togethercompute · togethercompute · kuchaev · testingcatalog · baseten · NVIDIAAI · IanAndrewsDC · yoavartzi · simonguozirui · markjeffrey · TinfoilTricorn