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Nemotron 3.5 Content Safety

NVIDIAReleased Jun 4, 2026Open weights · NVIDIA Open Model Licensenemotron-3.5-content-safety

Reasoning
yes
Knowledge cutoff
June 2024
Context
131K tokens
Input
text, image
API features
seed

Read Oct 23, 06:00 UTC from the hosts' published offers and OpenRouter, spec sheet from NVIDIA · cutoff: aiknowledgecutoff.com

Free right now

  • Free OpenRouter, served by Nvidia · no end date · 20 req/min, 50 req/day, 1,000 req/day with $10 of credits

Checked Oct 23 · every free model on Deals

Input, per M$0.20at DeepInfra
Output, per M$0.20at DeepInfra
Speed224 tok/sat DeepInfra, on OpenRouter
Providers1DeepInfra only

Run it yourself

open weights, NVIDIA Open Model LicenseSelf-host guide ›

Open weights under NVIDIA Open Model License: you can run Nemotron 3.5 Content Safety on your own hardware instead of paying per token.

Memory ≈ parameters × bytes per parameter × 1.2 · cloud price: on-demand rate, running 24/7 · builds: GGUF, AWQ, MLX, GPTQ, Ollama · break-even calculator

ProviderInputOutputCache ↑tok/sFirst tokenUptime 24hChecked
DeepInfrabf16 · 128K ctx$0.20$0.20—2240.25 s99.7%Oct 23

1 provider · prices per million tokens, read Oct 23, 06:00 UTC · speed: OpenRouter, median of the last 30 min, read Oct 23, 06:00 UTC · uptime: OpenRouter, last 24 h · under each host: weights precision, context and max output as served, the maker's value in brackets when the host's differs

ProviderWeightsContextMax outputToolsStructured outputsReasoning
DeepInfrabf16128Knot stated by the hostnonoyes

Weights, context and max output: read at each host's own catalogue or docs where its terms allow, otherwise as the host declares to OpenRouter; hover a cell for its source and date · tools, structured outputs, reasoning: as declared to OpenRouter · not verified by us

Nemotron 3.5 Content Safety spec sheet, field by field, with sources

Nemotron 3.5 Content Safety spec sheetmaker-declared

What NVIDIA declares about the model itself — read from its own weights repository and documentation, not from any host. What each endpoint actually serves is in the pricing above: the two can differ, and both are true.

Context window
131,072 tokens
Parameters
4,300,079,472≈ 4.3B
Active experts
none declared in the weights
Weight precision
BF16
License
NVIDIA Open Model License — open weights, conditionalcuratedScope: the licence on the published weights, and nothing else. It is not the maker's acceptable-use policy, which is a separate document, and it is not the contract you sign with whichever host you call — hosts set their own terms, which this index does not read.
Knowledge cutoff
not published by the maker≈ June 2024 third-party estimate — not the maker's figurecurated
Modalities
text · image
Max output (official)
to verify
Release date
to verify≈ June 4, 2026 third-party catalogue — not the maker's figure
Maker lifecycle status
to verify

Also declared in the weights

Architecture class
Gemma3ForConditionalGeneration
Layers
34
Vocabulary
262,208 tokens
Weights first published
May 22, 2026
Weights last updated
June 24, 2026
Languages declared
12 languages

nvidia/Nemotron-3.5-Content-Safety · config.json @ 35645ed · read 2026-10-08 · 5 of 10 fields published by the maker

ProviderChatbot 1,000 in / 500 outRAG / long context 8,000 in / 500 outBatch summarize 4,000 in / 1,000 out
DeepInfra$0.30$1.70$1.00

What each host bills for 1,000 requests of a representative job

Your own workload

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