# Nvidia Nemotron 3.5 Super VL 120B A12B API Pricing

As of October 21, 2026, Nvidia Nemotron 3.5 Super VL 120B A12B costs $0.15 per 1M input tokens and $0.75 per 1M output tokens from Weights & Biases, the lowest of 2 providers, with cache reads at $0.02 per 1M tokens. It has a 1,049,000-token context window and returns up to 1,048,576 tokens per response.

- Page: https://models.litellm.ai/models/nvidia-nemotron-3.5-super-vl-120b-a12b
- Lab: NVIDIA
- LiteLLM model name: `wandb/nvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B`
- Context window: 1,049,000 tokens
- Max output: 1,048,576 tokens
- Added to LiteLLM: October 16, 2026
- Prices updated: October 16, 2026

## Pricing by provider

Token prices in USD per 1M tokens.

| Provider | Model name | Input | Output | Cache read | Per image | Per second | Context |
|---|---|---|---|---|---|---|---|
| Weights & Biases | `wandb/nvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B` | $0.15 | $0.75 | $0.02 | – | – | 1M |
| Baseten | `baseten/nvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B` | $0.20 | $0.50 | $0.04 | – | – | 1M |

## Cost examples

1,000 requests with 2,000 input and 500 output tokens each:

- Weights & Biases: $0.675
- Baseten: $0.65

100 long-document requests with 100,000 input and 2,000 output tokens each:

- Weights & Biases: $1.65
- Baseten: $2.10

## Features

Supported: Function calling, Structured output, Image input, Reasoning, Prompt caching.

## Use it with LiteLLM

```python
from litellm import completion

response = completion(
    model="wandb/nvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B",
    messages=[{"role": "user", "content": "Hello!"}],
)
```

## Cost calculator

10,000 requests a day with 1,000 input and 500 output tokens each, at Weights & Biases's price: $0.000525 per request, $5.25 per day, $158 per month (30 days). Try other numbers at https://models.litellm.ai/calculator?model=nvidia-nemotron-3.5-super-vl-120b-a12b

## FAQ

### How much does Nvidia Nemotron 3.5 Super VL 120B A12B cost?

Nvidia Nemotron 3.5 Super VL 120B A12B costs $0.15 per 1M input tokens and $0.75 per 1M output tokens from Weights & Biases, the lowest of 2 providers, with cache reads at $0.02 per 1M tokens.

### What is the context window of Nvidia Nemotron 3.5 Super VL 120B A12B?

Nvidia Nemotron 3.5 Super VL 120B A12B has a 1,049,000-token context window and returns up to 1,048,576 tokens per response.

### Which providers offer Nvidia Nemotron 3.5 Super VL 120B A12B?

Nvidia Nemotron 3.5 Super VL 120B A12B is available from 2 providers through LiteLLM: Weights & Biases and Baseten. The lowest price is on Weights & Biases.

### How do I call Nvidia Nemotron 3.5 Super VL 120B A12B with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="wandb/nvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B", or add the model to the LiteLLM proxy's config.yaml and send requests to /v1/chat/completions from any OpenAI client. LiteLLM tracks the cost of every request at the prices on this page.

### What features does Nvidia Nemotron 3.5 Super VL 120B A12B support?

Nvidia Nemotron 3.5 Super VL 120B A12B supports function calling, structured output, image input, reasoning and prompt caching.

### When did LiteLLM add Nvidia Nemotron 3.5 Super VL 120B A12B?

Nvidia Nemotron 3.5 Super VL 120B A12B was added to LiteLLM's model price file on October 16, 2026.

Source: LiteLLM model price file, https://github.com/BerriAI/litellm/blob/main/model_prices_and_context_window.json. Maintainers update it from each provider's published pricing, and this page is usually rebuilt within 20 minutes of every change.