Nvidia Nemotron 3.5 Super VL 120B A12B API Pricing
- Input / output
- $0.15 / $0.75 per 1M tokens
- Cache read
- $0.02 / 1M
- Context
- 1M tokens
- Max output
- 1M tokens
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.
Nvidia Nemotron 3.5 Super VL 120B A12B pricing by provider
2 listings across 2 providers. Token prices are in US dollars per 1M tokens. The highlighted row is the price quoted above.
| Provider | Model name in LiteLLM | Input | Output | Cache read | 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 |
What Nvidia Nemotron 3.5 Super VL 120B A12B costs in practice
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 |
Nvidia Nemotron 3.5 Super VL 120B A12B cost calculator
At Weights & Biases's price ($0.15 input, $0.75 output per 1M tokens), 10,000 requests a day with 1,000 input and 500 output tokens each cost $5.25 a day, about $158 a month. Change the numbers for your workload, or compare it with other models.
- Per request
- $0.000525
- Per day
- $5.25
- Per month (30 days)
- $158
Nvidia Nemotron 3.5 Super VL 120B A12B features
- Function calling
- Structured output
- Image input
- Reasoning
- Prompt caching
Use Nvidia Nemotron 3.5 Super VL 120B A12B with LiteLLM
Call Nvidia Nemotron 3.5 Super VL 120B A12B through the LiteLLM Python SDK, or put it behind the LiteLLM proxy and send OpenAI-format requests to /v1/chat/completions. LiteLLM tracks the cost of every request at these prices.
from litellm import completion
response = completion(
model="wandb/nvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B",
messages=[{"role": "user", "content": "Hello!"}],
)model_list:
- model_name: nvidia-nemotron-3.5-super-vl-120b-a12b
litellm_params:
model: wandb/nvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B
# credentials: see the provider's LiteLLM docs pagecurl http://0.0.0.0:4000/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $LITELLM_API_KEY" \
-d '{
"model": "nvidia-nemotron-3.5-super-vl-120b-a12b",
"messages": [{"role": "user", "content": "Hello!"}]
}'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.
Sources
Prices come from LiteLLM's open-source model_prices_and_context_window.json, which LiteLLM uses to calculate the cost of every request. Maintainers update it from each provider's published pricing, and this page is usually rebuilt within 20 minutes of every change. Provider pricing pages:
LiteLLM docs: Weights & Biases, Baseten.
Provider pages: Weights & Biases, Baseten.
