z-ai
// nvidia
Nemotron 3.5 Super VL
nvidia/nemotron-3.5-super-vl
Nemotron 3.5 Super VL costs $0.150 per 1M input tokens and $0.500 per 1M output tokens with a 1.0M-token context window.
A reasoning, tool-calling model from nvidia, released Oct 15, 2026. LiveBench hasn't published a run for it, so this page carries measured price and specs only — no benchmark numbers.
- Input / 1M
- $0.150
- Output / 1M
- $0.500
- Context
- 1.0M
- LiveBench overall
- Not evaluated
Specs and pricing
| Input price USD per 1M prompt tokens | $0.150 |
|---|---|
| Output price USD per 1M completion tokens, reasoning included | $0.500 |
| Blended price 3:1 input:output — #88 cheapest of 348 listed models | $0.237 |
| Cached input read Blank means not priced separately — not free | $0.020 |
| Cache write | — |
| Context window | 1,048,576 tokens |
| Max output | 235,929 tokens |
| Input modalities | text, image, video |
| Tool calling | Yes |
| Extended reasoning | Yes |
| Knowledge cutoff | — |
| Listed | Oct 15, 2026 |
Also listed as nvidia/nemotron-3.5-super-vl:free (Free blended)— the same model at a different price or rate limit.
What Nemotron 3.5 Super VL costs to run
Monthly list cost across five workload shapes, using the published cached-input rate where there is one. A floor, not a quote — batch discounts and cache writes aren't included.
| Workload | Per month |
|---|---|
| Support chatbot 1.2K in / 400 out × 200K requests | $66.64/mo |
| RAG assistant 8K in / 600 out × 100K requests | $98.00/mo |
| Coding agent 40K in / 4K out × 20K requests | $87.20/mo |
| Document extraction 20K in / 1.5K out × 50K requests | $181.00/mo |
| Bulk classification 500 in / 20 out × 5M requests | $360.00/mo |
Compare Nemotron 3.5 Super VL with
Benchmarked models at a similar price.
qwen
Nemotron 3.5 Super VL vs Qwen3.8 Flash
anthropic
Nemotron 3.5 Super VL vs Claude Haiku 5.5
openai
Nemotron 3.5 Super VL vs GPT-6 Luna
deepseek
Nemotron 3.5 Super VL vs DeepSeek V4.1 Flash
openai
Nemotron 3.5 Super VL vs GPT-5.6 Luna
Nemotron 3.5 Super VL FAQ
How much does Nemotron 3.5 Super VL cost?
Nemotron 3.5 Super VL lists at $0.150 per 1M input tokens and $0.500 per 1M output tokens, with cached input reads at $0.020 per 1M. A RAG assistant handling 100K requests a month (8K tokens in, 600 out) comes to about $98.00 at list price.
What is the context window of Nemotron 3.5 Super VL?
Nemotron 3.5 Super VL accepts up to 1,048,576 tokens of context and can return up to 235,929 output tokens per response.
Does Nemotron 3.5 Super VL support tool calling?
Yes — Nemotron 3.5 Super VL supports tool (function) calling and exposes extended reasoning. It accepts text, image, video input.
How does Nemotron 3.5 Super VL score on benchmarks?
LiveBench has not published a run for Nemotron 3.5 Super VL yet. Until it does, compare it on price and specs, or run your own evaluation on your own tasks.
What is the API model ID for Nemotron 3.5 Super VL?
On OpenRouter the model ID is "nvidia/nemotron-3.5-super-vl". It was listed on Oct 15, 2026.
More from nvidia
How these numbers are produced
- Price and specs — provider list data from OpenRouter, refreshed every 15 minutes. “Blended” is a 3:1 input:output mix.
- Scores and ranks — LiveBench release 2026-09-02. Ranks count only models that have a published run; a blank means “not evaluated”, never “bad”.
- Cost per point — the measured dollars LiveBench spent on the run, divided by the score it earned.
Published benchmarks rank models on someone else's tasks. Before committing, see LLM & agent evaluation for building an eval on your own.