Last verified
NO NVIDIA TOKEN PRICEIMAGE + VIDEO INPUT1M CONTEXT120B / 12B ACTIVEFREE EVAL ENDPOINT

Nemotron 3.5 Super VL 120B A12B API Pricing

NVIDIA does not sell Nemotron 3.5 Super VL by the token. Released on October 15, 2026, it is the vision-language member of the Nemotron 3.5 line - text, images, documents and video in, text out - for coding, tool use and visual agents. Its model page has a free evaluation endpoint and full specifications, but no NVIDIA price. The per-token figures on it sit under Available Integrations and belong to hosters: CoreWeave at $0.15/M input and $0.50/M output, Deep Infra at $0.10/M and $0.40/M. Two prices for one model is what a hosting cost looks like; neither is what NVIDIA charges.

Input - per 1M tokens
Not sold per token
NVIDIA publishes no rate n/a
Output - per 1M tokens
Not sold per token
Partner rates are resale n/a
Cached input
n/a
No cache rate published
Effective - agentic blend
TBA
Needs a vendor rate
§ 03 / TOKENIZER

Nemotron 3.5 Super VL 120B A12B token counter.

What's a token →
Estimate · nemotron-tokenizer-estimate · ≈3.9 chars/token Auto-counts as you type

This is a chars-per-token approximation, not a real tokenizer. Actual tokens vary by language, code density, and tool-call overhead — counts are typically ±10–20% off for English prose, more for code or non-Latin scripts. For exact billing, use the vendor's official tokenizer.

Characters 665
Words 114
Tokens (estimated) 171 tokens
§ 04 / SHELF

Nemotron 3.5 Super VL 120B A12B vs similar models.

All models →
Model Input /M Output /M Effective blended Context Best for
DeepSeek V4.1 Flash $0.30 cache $0.006 $1.20 $0.15 1M Open weights with vision and a public rate
Glimpse $0.60 $3.00 $0.792 not published Visual reasoning model with a published rate
Solar Mini 4 $0.10 cache $0.01 $0.40 $0.0561 512K Low-cost hosted alternative
GLM-5.3 $1.40 cache $0.26 $4.40 $0.78 1M Z.ai's current GLM flagship
§ 07 / BENCHMARKS

Nemotron 3.5 Super VL 120B A12B benchmarks

All benchmarks →

Nemotron 3.5 Super VL 120B A12B has published scores on 2 benchmarks we track; its best placing is #84 of 105 on ARC-AGI-2. All of these scores come from independent leaderboards, not from the lab.

Benchmark Score Rank Leader Source
ARC-AGI-2 Reasoning 1.9% ARC Prize verified, best result #84 of 105 GPT-6 Astra · 95% Official leaderboard ARC Prize Foundation
ARC-AGI-1 Reasoning 22.7% ARC Prize verified, best result #82 of 99 6 tied · 98.5% Official leaderboard ARC Prize Foundation

Nemotron 3.5 Super VL 120B A12B API pricing FAQ.

What NVIDIA publishes for Nemotron 3.5 Super VL, and what it does not.

Q · 01 How much does Nemotron 3.5 Super VL cost per token? +
NVIDIA does not say. We checked its model page on October 19, 2026: it carries specifications, a playground and a free evaluation endpoint, but no NVIDIA per-token rate. That is how NVIDIA sells the whole Nemotron line, not a gap on this page.
Q · 02 But there are prices on the NVIDIA page - why not use those? +
Because they are not NVIDIA's. They appear under Available Integrations and belong to companies running the weights on their own hardware: CoreWeave Serverless at $0.15/M input and $0.50/M output, Deep Infra Serverless at $0.10/M and $0.40/M, with OpenRouter matching Deep Infra. Two prices for the same model on the same page is the clearest sign that the number belongs to the hoster.
Q · 03 So how can I use it? +
A free evaluation endpoint on build.nvidia.com, OpenAI-compatible at integrate.api.nvidia.com with the model name nvidia/nemotron-3.5-super-vl-120b-a12b, governed by NVIDIA's API trial terms. A partner endpoint at that partner's rate. Or the open weights, released on Hugging Face the same day under the OpenMDW-1.1 licence, on your own GPUs with vLLM, SGLang or TensorRT-LLM. Unlike earlier Nemotron models, the page lists no downloadable NIM container for it yet.
Q · 04 What is the model itself? +
A Mamba-2 and Transformer hybrid mixture of experts with a C-RADIO vision encoder: 120B total and 12B active parameters, built from Nemotron 3 Super Base. It takes text, images, document pages and sampled video frames and returns text, with configurable reasoning, function calling, structured output and native multi-token prediction for speculative decoding. The model card gives a context of up to 1M tokens shared by input and output; the hosted endpoint's spec panel lists 262K, so check the limit of whichever endpoint you use.
Q · 05 What should I price against instead? +
A vision model that ships weights and also publishes a first-party rate. DeepSeek V4.1 Flash is the closest: open weights, image input and $0.30/M input at peak. That gives you a number to plan with; treat the partner rates above as what hosting Super VL costs today, not as NVIDIA's price.