Moduck

Nvidia: Nemotron 3.5 Super VL 120B A12B

NVIDIA vision-language reasoning model for text, image, and video understanding and agentic tool use

Model lab
Nvidia
Model family
nemotron
Modalitiestext, image, video → text
Context window1,048,576
Maximum output8,192
InputUSD 0.24 / 1M tokens
OutputUSD 0.72 / 1M tokens

Quickstart

Use your Moduck API Key, set the API base URL to https://api.moduck.ai/v1, and set the model parameter to nvidia/nemotron-3.5-super-vl-120b-a12b.

import os
import requests

base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "nvidia/nemotron-3.5-super-vl-120b-a12b"

response = requests.post(
    f"{base_url}/chat/completions",
    headers={
        "Authorization": f"Bearer {api_key}",
        "Content-Type": "application/json",
    },
    json={
        "model": model_id,
        "messages": [{"role": "user", "content": "Hello!"}],
        "stream": False,
    },
    timeout=60,
)
response.raise_for_status()
print(response.json())

Use the familiar OpenAI-style chat request format to make model integration easier.

Nemotron 3.5 Super VL 120B A12B API Pricing

TypePrice information
InputUSD 0.24 / 1M tokens
OutputUSD 0.72 / 1M tokens
Cached inputUSD 0.24 / 1M tokens

Performance

Measured on the Moduck gateway across live traffic, hour by hour over the last 24 hours. Time to first token is how long before anything appears; throughput is how fast the answer is written after that; end-to-end latency is the whole round trip. Figures are medians unless the card says otherwise.

Performance trends

Throughput90.4 tok/sCurrent
Time to first token1.3 sCurrent
End-to-end latency7.6 sCurrent
Throughput
Current90.4 tok/s
Window average88.4 tok/s
Time to first token
Current1.3 s
Window average1.5 s
End-to-end latency
Current7.6 s
Window average7.5 s
Tail latency (P99)
Current16.2 s
Window average16.8 s
Prompt cache hit rate
Current19.3%
Window average24.0%
Error rate
Current0.0%
Window average0.2%

Availability

Uptime is the share of time at least one provider serving this model responded. Availability is stricter: the share of requests actually served. A provider that answers but fails part of the traffic lowers availability without lowering uptime. Both cover the last three days.

Uptime100%At least one provider responded
Availability100%Requests actually served
Error rate0%Share of failed requests
Served requests, hour by hour
24 hours agoNow

Nemotron 3.5 Super VL 120B A12B Compare models

ModelInput priceOutput priceContext windowCapabilities
Nemotron 3.5 Super VL 120B A12BThis pageUSD 0.24 / 1M tokensUSD 0.72 / 1M tokens1,048,576Text output · Reasoning · Tool calling
Nemotron Nano 12B v2 VLUSD 0.16 / 1M tokens · Context ≤ 128000 tokens · Maximum output 16384 tokensUSD 0.48 / 1M tokens · Context ≤ 128000 tokens · Maximum output 16384 tokens128,000Text output · Reasoning · Tool calling
Nemotron 3.5 Lightning 30B A3BUSD 0.04 / 1M tokensUSD 0.16 / 1M tokens262,144Text output · Reasoning · Tool calling
Nemotron 3 Ultra 550B A55BUSD 0.4 / 1M tokensUSD 1.76 / 1M tokens1,000,000Text output · Reasoning · Tool calling
Nemotron 3.5 Content SafetyUSD 0.04 / 1M tokensUSD 0.12 / 1M tokens128,000Text output · Reasoning

Model specifications

Input
text, image, video
Output
text
Context window
1,048,576
Maximum output
8,192
Release date
2026-10-15
Attachments
Yes
Reasoning
Yes
Tool calling
Yes
Temperature setting
Yes
Open weights
Yes

Frequently asked questions

What is Nemotron 3.5 Super VL 120B A12B for?

NVIDIA vision-language reasoning model for text, image, and video understanding and agentic tool use

What inputs and outputs does Nemotron 3.5 Super VL 120B A12B support?

Recorded inputs: text, images, video; outputs: text.

How is Nemotron 3.5 Super VL 120B A12B priced?

The pricing table shows the current recorded Moduck price. For example: Input USD 0.24 / 1M tokens; Output USD 0.72 / 1M tokens. See the pricing table for all units, variants, and conditions.

What specifications are recorded for Nemotron 3.5 Super VL 120B A12B?

Current model records list Context window 1,048,576 tokens; Maximum output 8,192 tokens.

What model parameter does the Quickstart use?

The example uses nvidia/nemotron-3.5-super-vl-120b-a12b. This value comes from the page identifier and is not confirmed as a callable Moduck public ID.

Can I call this model through the Moduck API now?

This page has no verified Moduck API call for this model. A Quickstart example or reserved ID does not establish access; check the models available to your account.