How much does the Nemotron 3.5 Super VL API cost?

On FastMetal, Nemotron 3.5 Super VL is billed per token: $0.211 per 1M input tokens and $1.06 per 1M output tokens on a US-dollar account, before tax. Usage is drawn from a prepaid balance; there is no subscription or monthly fee.

Can I call Nemotron 3.5 Super VL with the OpenAI SDK?

Yes. Point base_url at https://api.fastmetal.ai/v1 and pass "nemotron-3.5-super-vl" as the model; existing OpenAI-style code works unchanged, including streaming, tool calls and structured output.

What is the context window of Nemotron 3.5 Super VL?

262,144 tokens, shared between the prompt and the response.

What do I need to try Nemotron 3.5 Super VL?

Create an account and add credit; the model is then available both in the browser chat and over the API. There is no contract or minimum spend.

Back to Models

NVIDIA

nemotron-3.5-super-vl

Nemotron 3.5 Super VL

NVIDIA Nemotron 3.5 Super VL is an open multimodal mixture-of-experts model from NVIDIA, with 12B active parameters out of 120B total. It takes text, images, documents, GUI screenshots, and video...

10/15/2026

262,144 tokens

Input: $0.211/M

Output: $1.06/M

Try in Chat Get API Key

Specifications

Modalities

Input

text

image

video

Output

text

Supported Parameters

frequency_penalty

include_reasoning

logit_bias

logprobs

max_tokens

min_p

presence_penalty

reasoning

repetition_penalty

response_format

seed

stop

structured_outputs

temperature

tool_choice

tools

top_k

top_logprobs

top_p

Max Output Tokens

235,929

Data policy

Prompt retention: Unknown — we could not confirm
Training: Not used for training

"Unknown" does not mean "safe". It means we could not confirm it.

Whether a provider trains on prompts is a declared value from our terms with them. Retention is determined from the upstream listing for every host this model can reach. Neither is guessed.

Code Examples

curl https://api.fastmetal.ai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "nemotron-3.5-super-vl",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

How Nemotron 3.5 Super VL actually answers

Real responses to our standard prompts, recorded on FastMetal.

Count the number of 'r's in 'strawberry'

Count the number of 'r's in 'strawberry'. Explain your reasoning step by step.

Here is the step-by-step count: The word is: **strawberry** 1. Break the word into individual letters: s – t – r – a – w – b – e – r – r – y 2. Check each letter one by one: - s → not an 'r' - t → not an 'r' - **r → 1st 'r'** - a → not an 'r' - w → not an 'r' - b → not an 'r' - e → not an 'r' - **r → 2nd 'r'** - **r → 3rd 'r'** - y → not an 'r' 3. Total count: **3** There are **3** letter 'r's in "strawberry".

2.0s response359 output tokens

Debug This Error

I'm getting the following error in my Node.js application: TypeError: Cannot read properties of undefined (reading 'map') at UserList (/app/components/UserList.js:12:25) at renderWithHooks (/app/node_modules/rea…

The error happens because **`users` is `undefined`** when `UserList` renders. You cannot call `.map()` on `undefined`, so React throws: ``` TypeError: Cannot read properties of undefined (reading 'map') ``` This usually occurs when: * The parent component doesn't pass the `users` prop at all * The parent passes `users={undefined}` (e.g., data is still loading from an API) * The initial state for `users` is `undefined` instead of an empty array --- ### Fix 1: Provide a default value (Recommended) Use a default parameter so `users` always falls back to an empty array: ```jsx function UserList({ users = [] }) { return ( <ul> {users.map(user => ( <li key={user.id}>{use…

4.6s response931 output tokens

Code Review

Please review the following Python function and suggest improvements for readability, performance, and best practices: def get_data(url, retries=3): import requests import time for i in range(retries):…

Here is a review of the function, followed by a refactored version and an explanation of the changes. ### Issues in the original code | Category | Problem | |----------|---------| | **Imports** | `import requests` and `import time` are inside the function. Imports should be at the top of the module. | | **Exception handling** | `except:` catches *everything*, including `KeyboardInterrupt`, `SystemExit`, and programming errors (`KeyError`, `TypeError`). This hides bugs and makes debugging difficult. | | **Boolean check** | `item["active"] == True` is redundant and un-Pythonic. Use `if item["active"]:` (truthy) or `if item.get("active") is True:` (strict boolean). | | **Key errors** | Access…

14.7s response4808 output tokens

Compare these answers side by side with other models →

Frequently asked questions

How much does the Nemotron 3.5 Super VL API cost?: On FastMetal, Nemotron 3.5 Super VL is billed per token: $0.211 per 1M input tokens and $1.06 per 1M output tokens on a US-dollar account, before tax. Usage is drawn from a prepaid balance; there is no subscription or monthly fee.
Can I call Nemotron 3.5 Super VL with the OpenAI SDK?: Yes. Point base_url at https://api.fastmetal.ai/v1 and pass "nemotron-3.5-super-vl" as the model; existing OpenAI-style code works unchanged, including streaming, tool calls and structured output.
What is the context window of Nemotron 3.5 Super VL?: 262,144 tokens, shared between the prompt and the response.
What do I need to try Nemotron 3.5 Super VL?: Create an account and add credit; the model is then available both in the browser chat and over the API. There is no contract or minimum spend.