NVIDIA: Nemotron 3.5 Super VL
Try Nemotron 3.5 Super VL for free in your browser, and add it to your app for free with Puter.js AI API.
Try it free Add to your app// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';
puter.ai.chat("Explain quantum computing in simple terms", {
model: "nvidia/nemotron-3.5-super-vl"
}).then(response => {
document.body.innerHTML = response.message.content;
});
<html>
<body>
<script src="https://js.puter.com/v2/"></script>
<script>
puter.ai.chat("Explain quantum computing in simple terms", {
model: "nvidia/nemotron-3.5-super-vl"
}).then(response => {
document.body.innerHTML = response.message.content;
});
</script>
</body>
</html>
Model Card
Nemotron 3.5 Super VL is an open multimodal Mixture-of-Experts model from NVIDIA with 120B total parameters and 12B active per token. It takes text, images, documents, and video, and adds reasoning and tool use for long-running agents.
NVIDIA reports results on SWE-bench Verified, SWE-bench Pro, CharXiv reasoning, and OSWorld-Verified, and says it matches Nemotron 3 Ultra on agent tasks with about one-fifth the parameters. It trails newer open models such as Qwen3.8-Flash-Next and DeepSeek-V4-Flash on most coding and agent benchmarks.
It has a 1M-token context window. It suits agent workflows that mix tool calls with document, chart, screenshot, or video inputs.
Context Window 1M
tokens
Max Output 236K
tokens
Input Cost $0.15
per million tokens
Output Cost $0.5
per million tokens
Input text, image, video
modalities
Tool Use Yes
Release Date Oct 15, 2026
Output Speed 142
tokens / sec
Latency 0.35s
time to first token
Try Nemotron 3.5 Super VL for free
Try Nemotron 3.5 Super VL instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.
Benchmarks
How Nemotron 3.5 Super VL performs on standard evaluations.
| Benchmark | Score |
|---|---|
| Humanity's Last Exam Cross-domain reasoning | 30.7% |
| SciCode Scientific programming | 47.8% |
| LCR Long-context reasoning | 69.0% |
Scores sourced from Artificial Analysis.
Find other NVIDIA models →
Nemotron 3.5 Lightning
Nemotron 3.5 Lightning is a 30B-parameter Mixture-of-Experts model from NVIDIA with 3B active parameters per token, using a hybrid Mamba-2, MoE, and attention layer architecture. It is designed for high-volume, low-latency execution inside multi-agent systems, where a larger reasoning model like Nemotron 3 Ultra plans and delegates, and Lightning handles tool calls, code review, and other repetitive subagent tasks. NVIDIA reports up to 4x higher output throughput than similarly sized open models and, on its PinchBench agent benchmark, 86% accuracy while completing 10,000 tasks 30% faster than Qwen3.6 35B at similar accuracy. The model ships with built-in multi-token prediction and draft models for speculative decoding, and is available in NVFP4 and BF16 checkpoints under the permissive OpenMDW-1.1 license with open weights and training recipes. Choose it for agent harnesses handling frequent, narrow calls, tool validation, or subagent delegation where response speed matters more than broad reasoning depth.
ChatNemotron 3 Ultra 550B A55B
Nemotron 3 Ultra 550B A55B is NVIDIA's open-weight frontier reasoning model with 550B total and 55B active parameters, built on a hybrid Mamba-Transformer Mixture-of-Experts architecture. It supports a 1M token context window and is designed for long-running agentic workflows, complex multi-step reasoning, and high-accuracy tasks across code, math, and science. NVIDIA reports up to 5.9x higher inference throughput than comparable open MoE models. On the Artificial Analysis Intelligence Index it scores 48, leading US open-weight models and delivering the highest non-hallucination score in its comparison set (78.7 on AA-Omniscience). Choose it for production agentic pipelines, deep document analysis, or reasoning-heavy API workloads where both accuracy and throughput matter.
ChatNemotron 3.5 Content Safety
Nemotron 3.5 Content Safety is a compact 4B-parameter multimodal guardrail model from NVIDIA, fine-tuned from Google Gemma-3-4B, designed to moderate both inputs and outputs of LLMs and VLMs. It classifies prompts and responses as safe or unsafe across 23 safety categories based on the Aegis v2 taxonomy, supports 12 languages, and accepts both text and image input. An optional reasoning mode provides step-by-step chain-of-thought traces explaining each decision — useful for auditing and policy tuning. Despite its 4B size, it leads external multimodal safety benchmarks including the top harmful-F1 score on VLGuard, matching or beating 8–12B models. It also supports custom operator-defined content policies enforced at inference time. Choose it for prompt and response moderation pipelines, safety evaluation of LLM outputs, or as an inference-time guardrail in enterprise AI applications requiring explainable, policy-aware content filtering.
Frequently Asked Questions
You can access Nemotron 3.5 Super VL by NVIDIA through Puter.js AI API. Include the library in your web app or Node.js project and start making calls with just a few lines of JavaScript — no backend and no configuration required. You can also use it with Python or cURL via Puter's OpenAI-compatible API.
Nemotron 3.5 Super VL is free to try with a Puter account. Every account includes a free AI allowance, and you can chat with it in the playground on this page. You can upgrade your account anytime for a larger allowance.
Nemotron 3.5 Super VL is free to integrate using the Puter.js AI API. With the User-Pays Model, you can add AI to your app for $0, since users cover their own AI usage through their Puter account.
| Price per 1M tokens | |
|---|---|
| Input | $0.15 |
| Output | $0.5 |
Nemotron 3.5 Super VL was created by NVIDIA and released on Oct 15, 2026.
Nemotron 3.5 Super VL supports a context window of 1M tokens. For reference, that is roughly equivalent to 2,097 pages of text.
Nemotron 3.5 Super VL can generate up to 236K tokens in a single response.
Nemotron 3.5 Super VL accepts the following input types: text, image, video. It produces: text.
Yes, Nemotron 3.5 Super VL supports tool use (function calling), allowing it to interact with external tools, APIs, and data sources as part of its response flow.
Nemotron 3.5 Super VL scores 26.5 on the Artificial Analysis Intelligence Index, outperforming 78% of tracked models.
Yes — the Nemotron 3.5 Super VL API works with any JavaScript framework, Node.js, or plain HTML through Puter.js. Just include the library and start building. See the documentation for more details.
Add Nemotron 3.5 Super VL to your app for free
Developers can integrate Nemotron 3.5 Super VL for free using the Puter.js AI API.
With the User-Pays Model, each user covers their own AI usage instead of the developer.