Nemotron 3.5 Super VL API

NVIDIA's open multimodal mixture-of-experts model with 12B active out of 120B total parameters, reading text, images, documents, GUI screenshots and video.

Modalities
Text, Image, VideoText
In / Out price
$0.2645/$1.59per 1M
Context window
1.05M tokens
Released
Oct 15, 2026

Nemotron 3.5 Super VL overview

The pelican test: one prompt, every text model, unedited SVG output from Nov 3, 2026.

SVG of a pelican riding a bicycle, written by Nemotron 3.5 Super VL through AI/ML API

Nemotron 3.5 Super VL by NVIDIA

Send text, images, documents, screenshots or video to the chat completions endpoint and receive text.

Nemotron 3.5 Super VL specs

Model ID
nvidia/nemotron-3.5-super-vl
Developer
NVIDIA
Context window
1,048,576 tokens
Max output
235,929 tokens
Input
Text, Image, Video
Output
Text
API
OpenAI-compatible, base URL https://api.aimlapi.com/v1

What Is Nemotron 3.5 Super VL?

Nemotron 3.5 Super VL is an open multimodal model from NVIDIA. It is a mixture-of-experts model with 120B total parameters, of which 12B are active for each token, so it runs with the compute cost of a much smaller dense model. It takes text, images, documents, GUI screenshots and video as input and answers in text, with optional reasoning, tool calling and structured outputs. It was released on 15 October 2026 and is available on AI/ML API as nvidia/nemotron-3.5-super-vl.

Specifications

  • Architecture: mixture of experts, 120B total / 12B active parameters
  • Context window: 1,048,576 tokens
  • Input: text, images, documents, GUI screenshots, video, output: text
  • Capabilities: optional reasoning, tool calling, structured outputs, vision, streaming

Where It Fits in the Nemotron Family

Nemotron 3.5 Super VL is the vision-language model of the Nemotron 3.5 generation. Nemotron 3.5 Lightning is a smaller text model (3B active out of 30B) built for high-throughput agentic workloads, and Nemotron 3 Super 120B-A12B is the earlier text-only model of the same size class. Super VL keeps the 120B/12B mixture-of-experts layout and adds visual input.

What It Is Built For

The input types point to three groups of tasks: document understanding (scanned pages, forms, charts and tables), GUI agents that read screenshots of an application before deciding on the next action, and video understanding. Tool calling and structured outputs let the model return its findings as JSON that downstream code can consume directly.

Use cases

Document intelligence: extracting fields from invoices, forms and contracts, reading charts and tables, and answering questions about long scanned documents.

GUI and computer-use agents that take a screenshot of an application or web page, identify the elements on it and decide which action to take next through tool calls.

Video understanding, such as summarising a recording, finding the moment something happens or describing the steps shown in a screen capture.

Multimodal pipelines that need structured output, where images or video go in and a JSON object that follows a schema comes out.

Capabilities

  • Streaming
  • Structured outputs
  • Function calling
  • Vision

Nemotron 3.5 Super VL benchmarks by Artificial Analysis

See how Nemotron 3.5 Super VL compares in intelligence, generation speed, cost per task and latency. Data retrieved Nov 3, 2026.

Intelligence

Index v5.0

Speed

Output tokens / second

Cost per task

USD / benchmark task

Benchmark results

Compare 5 models available on AI/ML API across 4 independent benchmarks.

Humanity's Last Exam

Expert-written questions across academic subjects.

Nemotron 3.5 Super VL API pricing

Nemotron 3.5 Super VL pricing in US dollars
UsagePriceUnit
Input$0.26451M tokens
Output$1.591M tokens
Cached input$0.10581M tokens

Prices from the AI/ML API price list, checked on Nov 4, 2026.

Nemotron 3.5 Super VL vs other models: token prices

AI/ML API input and output rates for 5 models, per million tokens.

AI/ML API model prices in USD per million tokens
ModelInputOutput
Nemotron 3.5 Super VL$0.2645$1.59
Nemotron 3.5 Content Safety$0.2116$0.2116
Nemotron 3 Nano 30B A3B$0.0529$0.2116
Nemotron 3 Super 120B-A12B$0.0952$0.4761
Nemotron 3 Ultra$0.6348$3.81

How to use the Nemotron 3.5 Super VL API

View docs

Build with your agent

Give your agent the model details, code and documentation.

1Get your API key

Create API key
export AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"

2Make your first request

curl 'https://api.aimlapi.com/v1/chat/completions' \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H 'Content-Type: application/json' \
  -d '{
  "model": "nvidia/nemotron-3.5-super-vl",
  "messages": [
    {
      "role": "user",
      "content": "Write a haiku about the ocean."
    }
  ]
}'

Nemotron 3.5 Super VL FAQ

Is Nemotron 3.5 Super VL available on AI/ML API?

Yes. Nemotron 3.5 Super VL is live on AI/ML API as nvidia/nemotron-3.5-super-vl, through the chat completions endpoint.

How many parameters does Nemotron 3.5 Super VL have?

It is a mixture-of-experts model with 120B total parameters, of which 12B are active for each token.

What inputs does Nemotron 3.5 Super VL accept?

Text, images, documents, GUI screenshots and video. The model answers in text and supports structured outputs and tool calling.

What is the context window of Nemotron 3.5 Super VL?

The context window is 1,048,576 tokens, with up to 235,929 output tokens per request.

How does it differ from Nemotron 3.5 Lightning?

Nemotron 3.5 Lightning is a smaller text-only model (3B active out of 30B) aimed at high-throughput agentic work. Nemotron 3.5 Super VL is larger (12B active out of 120B) and reads images, documents, screenshots and video.

How much does Nemotron 3.5 Super VL cost?

Nemotron 3.5 Super VL costs $0.2645 input and $1.59 output per 1M tokens on AI/ML API, billed as you go with no subscription.

What is the Nemotron 3.5 Super VL model ID?

Use nvidia/nemotron-3.5-super-vl as the model parameter. Requests go to the OpenAI-compatible endpoint with your AI/ML API key.

Start building with Nemotron 3.5 Super VL

Nemotron 3.5 Super VL API

nvidia/nemotron-3.5-super-vl

Build with your agent

Give your agent the model details, code and documentation.

1Get your API key

Create API key
export AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"

2Make your first request

curl 'https://api.aimlapi.com/v1/chat/completions' \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H 'Content-Type: application/json' \
  -d '{
  "model": "nvidia/nemotron-3.5-super-vl",
  "messages": [
    {
      "role": "user",
      "content": "Write a haiku about the ocean."
    }
  ]
}'