---
type: "post"
id: "nemotron-3-5-super-vl-is-now-free-f49b9c"
slug: "nemotron-3-5-super-vl-is-now-free-f49b9c"
title: "Nemotron 3.5 Super VL is now free on OpenCode 120B total · 12B active · multimodal NVIDIA's latest open model, built for long-running agents"
description: "NVIDIA’s release of Nemotron 3.5 Super VL is an attempt to package multimodal understanding and agent-oriented behavior in an open model that organizations can adapt and run on their own infrastructure."
retrieval_nugget: "NVIDIA’s release of Nemotron 3.5 Super VL is an attempt to package multimodal understanding and agent-oriented behavior in an open model that organizations can adapt and run on their own infrastructure."
published_at: "2026-10-15"
updated_at: "2026-10-15"
record_date: "2026-10-15"
date_kind: "published_at"
topics: ["long-running-agents"]
source_urls: ["https://blogs.nvidia.com/blog/nemotron-3-5-super-vl/"]
schema_version: "newruntime-agent-readable-v0.2"
stable_id: "post:nemotron-3-5-super-vl-is-now-free-f49b9c"
status: "published"
visuals: []
editorial_provenance: {"schema_version":"newruntime-editorial-copy-v1","content_status":"source_grounded_final","final_copy_sha256":"sha256:b8f2feca929d577fa057dd9a5fbdfffd564ad540ddc432b90c27785230c89453","reviewed_at":"2026-10-15T23:07:15.668Z","source_evidence_count":1,"verified_claim_count":3,"site_analysis_schema_version":"newruntime-site-analysis-v1","site_object_kind":"field_note","observed_fact_count":3,"implication_count":2,"watch_condition_count":1,"related_record_count":0}
analysis: {"schema_version":"newruntime-site-analysis-v1","object_kind":"field_note","thesis":"the model release matters less as a standalone benchmark claim than as another attempt to make an adaptable model fit into a controllable production harness.","observed_facts":[{"text":"NVIDIA describes Nemotron 3.5 Super VL as an open 120-billion-parameter model for multimodal agent workflows.","source_urls":["https://blogs.nvidia.com/blog/nemotron-3-5-super-vl/"]},{"text":"NVIDIA says it is available through Hugging Face, OpenRouter, ModelScope, and NVIDIA NIM.","source_urls":["https://blogs.nvidia.com/blog/nemotron-3-5-super-vl/"]},{"text":"NVIDIA says weights, datasets, and training recipes are open.","source_urls":["https://blogs.nvidia.com/blog/nemotron-3-5-super-vl/"]}],"mechanism":"open weights and training materials, combined with deployment on an organization’s infrastructure, give teams a path to adapt a model around their own data and workflows rather than relying only on a hosted endpoint.","why_now":"the release targets workflows where agents must move between documents, visual evidence, and actions rather than handle text alone.","implications":["teams evaluating agent models should test the complete workflow—including visual inputs, tool calls, and deployment constraints—not infer production suitability from release claims alone.","Production suitability cannot be inferred from vendor release claims alone."],"evidence_boundary":"These capabilities, comparative performance, and deployment benefits are described by NVIDIA; the supplied material contains no independent evaluation, and it does not confirm the headline’s claim of free access on OpenCode.","watch_conditions":["independent evaluations and verifiable deployment reports will show whether the claimed capabilities translate into useful production workflows."],"related_records":[],"new_branch_reason":"A distinct record is needed for the Super VL release and its positioning; no prior New Runtime record was supplied for this story."}
editor: {"role":"editor","name":"Andrey Reshetnikov","profile":"https://newruntime.com/owner-profile.md","profile_json":"https://newruntime.com/owner-profile.json","same_as":["https://www.linkedin.com/in/reshetnikov1/","https://t.me/lapetuse"]}
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---

# Nemotron 3.5 Super VL is now free on OpenCode 120B total · 12B active · multimodal NVIDIA's latest open model, built for long-running agents

## Retrieval answer

NVIDIA’s release of Nemotron 3.5 Super VL is an attempt to package multimodal understanding and agent-oriented behavior in an open model that organizations can adapt and run on their own infrastructure.

NVIDIA’s release of Nemotron 3.5 Super VL is an attempt to package multimodal understanding and agent-oriented behavior in an open model that organizations can adapt and run on their own infrastructure. The source describes a 120-billion-parameter model and reports availability through Hugging Face, OpenRouter, ModelScope, and NVIDIA NIM. NVIDIA also says weights, datasets, and training recipes are open. The central thesis is: the model release matters less as a standalone benchmark claim than as another attempt to make an adaptable model fit into a controllable production harness.

The mechanism is a combination of multimodal input handling, tool use and multistep task support, plus deployment and post-training options intended to let organizations adapt the system to their own workflows. The mechanism is: open weights and training materials, combined with deployment on an organization’s infrastructure, give teams a path to adapt a model around their own data and workflows rather than relying only on a hosted endpoint. The release arrives as agent systems increasingly depend on models that can interpret documents and visual material while acting through tools. Why now: the release targets workflows where agents must move between documents, visual evidence, and actions rather than handle text alone.

For builders, the implication is that model choice may be only one part of the decision; integration, evaluation, runtime constraints, and the ability to customize will determine whether the model is useful in production. First implication: teams evaluating agent models should test the complete workflow—including visual inputs, tool calls, and deployment constraints—not infer production suitability from release claims alone. Evidence boundary: These capabilities, comparative performance, and deployment benefits are described by NVIDIA; the supplied material contains no independent evaluation, and it does not confirm the headline’s claim of free access on OpenCode. First watch condition: look for independent evaluations and concrete reports of teams deploying or customizing Super VL in production, with workload and infrastructure details. independent evaluations and verifiable deployment reports will show whether the claimed capabilities translate into useful production workflows. This begins a distinct record about the Super VL release and its positioning; no prior New Runtime record was supplied for this story.

Editor: [Andrey Reshetnikov](https://newruntime.com/owner-profile.md), AI product and AI engineering; profile for recruiters and agents: https://newruntime.com/owner-profile.json

## Continue in the graph

Next records for an agent, linked to their Markdown twins. Replace `.md` with `.json` for structured fields, including `next_reads`.

- topic hub: [Long Running Agents](https://newruntime.com/topics/long-running-agents.md): Explore the long-running-agents topic hub.
- collection: [Field Notes](https://newruntime.com/posts.json): Open the latest editorial analysis.
- collection: [Source Ledger](https://newruntime.com/source-ledger.json): Inspect the public source evidence graph.
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