NVIDIA · language model
Nemotron 3.5 Content Safety: pricing, context and benchmarks
Nemotron 3.5 Content Safety is NVIDIA's model released on June 4, 2026. It costs $0.2 per million input tokens and $0.2 per million output tokens, with a 131.1K-token context window. No independent score has been published for it so far.
What you need to know about Nemotron 3.5 Content Safety
NVIDIA, based in United States, put Nemotron 3.5 Content Safety online on June 4, 2026. It accepts text and images as input and produces text. Its context window reaches 131,072 tokens, larger than 29 % of the models in the registry, and it can write up to 117,964 tokens in one go.
It has been available for about 5 months, long enough for its prices and scores to have settled.
Nemotron 3.5 Content Safety pricing
On OpenRouter, Nemotron 3.5 Content Safety costs $0.2 per million input tokens and $0.2 per million output tokens. Counting three tokens read for every token written, its average price is $0.2 per million, more expensive than 22 % of paid models (3.8 times cheaper than the median of $0.76).
A concrete example: a task that sends 2,000 tokens (about 1,500 words) and receives a 500-token answer costs $0.0005. At 1,000 tasks a day, budget $15 a month. The price calculator redoes this with your own volumes.
Performance and benchmarks
Epoch AI does not yet publish a capabilities index for Nemotron 3.5 Content Safety. We therefore show no made-up performance rating: only price, context and features count towards its score.
Features, privacy and local use
- It does not support tool calling: it is not suited to driving an AI agent that has to act.
- It is a reasoning model: it "thinks" before answering, which helps on hard tasks but uses more output tokens.
Its weights are open and downloadable from Hugging Face: you can run it on your own machines without sending your data to a third party.
Other NVIDIA models
| Model | Released | Avg. price | ECI |
|---|---|---|---|
| Nemotron 3.5 Super VL | Oct 15, 2026 | $0.24 | — |
| Nemotron 3.5 Lightning | Aug 11, 2026 | $0.1 | — |
| Nemotron 3 Ultra | Jun 4, 2026 | $1.05 | 146 |
| Nemotron 3 Nano Omni | Apr 28, 2026 | Free | — |
| Nemotron 3 Super | Mar 11, 2026 | $0.83 | — |
| Nemotron 3 Nano 30B A3B | Dec 14, 2025 | $0.11 | — |
Verdict
Computed score: 57/100, from public data (performance, price, context, features).
Strengths
- Low price: cheaper than 78 % of paid models.
- Open weights: self-hostable, your data stays with you.
Limitations
- No tool calling: unusable as an agent's brain.
- No independent score published: performance cannot be verified.
Avoid if…
- you are building an agent that must call tools.
Alternatives
- Hunyuan A13B Instruct$0.25
- gpt-oss-120b$0.26
- Solar Pro 3$0.26
- Llama Guard 4 12B$0.18
- Llama 3.3 70B Instruct$0.16
- LFM2.5-24B-A2B$0.21
Comparisons and tools
Learn more
Frequently asked questions
How much does Nemotron 3.5 Content Safety cost?
$0.2 per million input tokens and $0.2 per million output tokens on OpenRouter (checked October 25, 2026). A task with 2,000 tokens read and 500 written costs $0.0005.
How big is Nemotron 3.5 Content Safety's context window?
131,072 tokens, roughly 98,000 words, with a maximum of 117,964 output tokens.
Can Nemotron 3.5 Content Safety run locally?
Yes, its weights are published.
Is Nemotron 3.5 Content Safety suitable for an AI agent?
No: without tool calling it cannot act, only answer.
What are the alternatives to Nemotron 3.5 Content Safety?
The closest models on price and performance are Hunyuan A13B Instruct, gpt-oss-120b, and Solar Pro 3.
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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score