Nemotron 3.5 Content Safety
by NVIDIA · nvidia/nemotron-3.5-content-safety · #89 cheapest of 422 paid models
Prices updated Sep 19, 2026, 8:21 PM UTC · refreshed hourly
NVIDIA Nemotron 3.5 Content Safety is a compact 4B-parameter multimodal guardrail model from NVIDIA, fine-tuned from Google Gemma-3-4B. It moderates both inputs to and responses from LLMs and VLMs, accepting...
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Pricing
Input
$0.20
per 1M tokens
Output
$0.20
per 1M tokens
Blended (3:1)
$0.20
3 input : 1 output
Cache read
—
per 1M cached tokens
Cache write
—
per 1M tokens
Cache & batch economics
Effective prices for Nemotron 3.5 Content Safety (no cache-read rate published — hits billed as normal input).
| Cache hit rate | Effective blended $/1M | Example request* | vs no cache |
|---|---|---|---|
| 0% | $0.20 | $0.0206 | — |
| 50% | $0.20 | $0.0206 | −0% |
| 90% | $0.20 | $0.0206 | −0% |
*Example: 100K sticky context + 2K new input + 1K output. Batch discount is an approximate 50% off list rates (available for OpenAI / Anthropic / Google — not flagged for this creator). Confirm on the vendor’s pricing page.
What a request costs
| Workload | Input tokens | Output tokens | Cost / request | Cost / 1K requests |
|---|---|---|---|---|
| Short chat message | 500 | 300 | $0.00016 | $0.16 |
| Document summary | 8,000 | 1,000 | $0.0018 | $1.80 |
| Codebase question (RAG) | 30,000 | 2,000 | $0.0064 | $6.40 |
| Long-context analysis | 150,000 | 5,000 | $0.031 | $31.00 |
Specs
Context window
131K
tokens
Max output
118K
tokens
Input modalities
text, image
Tokenizer
Other