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
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
| Type | Price information |
|---|---|
| Input | USD 0.24 / 1M tokens |
| Output | USD 0.72 / 1M tokens |
| Cached input | USD 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
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.
Nemotron 3.5 Super VL 120B A12B Compare models
| Model | Input price | Output price | Context window | Capabilities |
|---|---|---|---|---|
| Nemotron 3.5 Super VL 120B A12BThis page | USD 0.24 / 1M tokens | USD 0.72 / 1M tokens | 1,048,576 | Text output · Reasoning · Tool calling |
| Nemotron Nano 12B v2 VL | USD 0.16 / 1M tokens · Context ≤ 128000 tokens · Maximum output 16384 tokens | USD 0.48 / 1M tokens · Context ≤ 128000 tokens · Maximum output 16384 tokens | 128,000 | Text output · Reasoning · Tool calling |
| Nemotron 3.5 Lightning 30B A3B | USD 0.04 / 1M tokens | USD 0.16 / 1M tokens | 262,144 | Text output · Reasoning · Tool calling |
| Nemotron 3 Ultra 550B A55B | USD 0.4 / 1M tokens | USD 1.76 / 1M tokens | 1,000,000 | Text output · Reasoning · Tool calling |
| Nemotron 3.5 Content Safety | USD 0.04 / 1M tokens | USD 0.12 / 1M tokens | 128,000 | Text 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.