Intelligence
Index v5.0
Custom pricing for production workloads
NVIDIA's open multimodal mixture-of-experts model with 12B active out of 120B total parameters, reading text, images, documents, GUI screenshots and video.
Send text, images, documents, screenshots or video to the chat completions endpoint and receive text.
nvidia/nemotron-3.5-super-vlhttps://api.aimlapi.com/v1Nemotron 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.
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.
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.
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.
See how Nemotron 3.5 Super VL compares in intelligence, generation speed, cost per task and latency. Data retrieved Nov 3, 2026.
Compare 5 models available on AI/ML API across 4 independent benchmarks.
Expert-written questions across academic subjects.
Agentic tasks completed in a command-line environment.
Reasoning across long documents of about 100k tokens.
Python coding tasks drawn from scientific research.
| Usage | Price | Unit |
|---|---|---|
| Input | $0.2645 | 1M tokens |
| Output | $1.59 | 1M tokens |
| Cached input | $0.1058 | 1M tokens |
Prices from the AI/ML API price list, checked on Nov 4, 2026.
AI/ML API input and output rates for 5 models, per million tokens.
| Model | Input | Output |
|---|---|---|
| $0.2645 | $1.59 | |
| $0.2116 | $0.2116 | |
| $0.0529 | $0.2116 | |
| $0.0952 | $0.4761 | |
| $0.6348 | $3.81 |
Give your agent the model details, code and documentation.
export AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"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."
}
]
}'import os
import requests
headers = {
"Authorization": f"Bearer {os.environ['AIMLAPI_KEY']}",
"Content-Type": "application/json",
}
payload = {
"model": "nvidia/nemotron-3.5-super-vl",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}
response = requests.post("https://api.aimlapi.com/v1/chat/completions", headers=headers, json=payload, timeout=120)
response.raise_for_status()
print(response.json())const response = await fetch("https://api.aimlapi.com/v1/chat/completions", {
method: "POST",
headers: {
Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"model": "nvidia/nemotron-3.5-super-vl",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}),
});
if (!response.ok) throw new Error(`HTTP ${response.status}`);
console.log(await response.json());Yes. Nemotron 3.5 Super VL is live on AI/ML API as nvidia/nemotron-3.5-super-vl, through the chat completions endpoint.
It is a mixture-of-experts model with 120B total parameters, of which 12B are active for each token.
Text, images, documents, GUI screenshots and video. The model answers in text and supports structured outputs and tool calling.
The context window is 1,048,576 tokens, with up to 235,929 output tokens per request.
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.
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.
Use nvidia/nemotron-3.5-super-vl as the model parameter. Requests go to the OpenAI-compatible endpoint with your AI/ML API key.