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Nemotron 3.5 Content Safety

by NVIDIA · Released Jun 2026

Multimodal
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Context
131K tokens (~66 books)
Input $/1M
$0.20
Output $/1M
$0.20
Type
multimodal
License
Proprietary
Benchmarks
0 tested
Data as of
About

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...

No benchmark data available yet.

Model Family · NVIDIA Nemotron 3
Dec 2025
$0.05/M in262Kctx
Dec 2025
$0.00/M in(-0.05)256Kctx(-6K)
Apr 2026
$0.00/M in256Kctx
Mar 2026
10.2
$0.08/M in(+0.08)262Kctx(+6K)18 benchmarks
Mar 2026
$0.00/M in(-0.08)262Kctx
Jun 2026
45.6+35.4
$0.50/M in(+0.50)1.0Mctx(+738K)29 benchmarks
Jun 2026
$0.60/M in(+0.10)512Kctx(-488K)
Jun 2026
$0.00/M in(-0.60)1.0Mctx(+488K)
Jun 2026
$0.20/M in(+0.20)131Kctx(-869K)
Jun 2026
$0.00/M in(-0.20)128Kctx(-3K)
Aug 2026
$0.06/M in(+0.06)262Kctx(+134K)7 benchmarks
Aug 2026
$0.00/M in(-0.06)1.0Mctx(+738K)
See the full Nemotron 3 family →
Recently Happened
Nemotron 3.5 Content Safety added
Sep 4, 2026
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nemotron-3-5-content-safety
Specifications
  • Typemultimodal
  • Context131K tokens (~66 books)
  • ReleasedJun 2026
  • LicenseProprietary
  • StatusActive
  • Cost / Message~$0.001
Available On
NVIDIA logoNVIDIA$0.20
Learn More
context-windowtransformertokens
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Nemotron 3.5 Content Safety is a proprietary multimodal AI model by NVIDIA, released in June 2026. Context window: 131K tokens.

Related Models

Qwen3 Coder Next FP8 · AlibabaQwen2.5 Coder 32B Instruct AWQ · AlibabaSpeaker Diarization Community 1 · PyannoteGemma 3 12B (free) · Google DeepMindQwen3 Next 80B A3B Instruct (free) · Alibaba Qwen

Benchmarks

Related Pages

NVIDIA · ProviderNVIDIA · EconomyAll ModelsCompare ModelsPricingDevelopers · APIContext Window · Glossary

Key facts · as of 2026-10-05

  • Nemotron 3.5 Content Safety by NVIDIA. Not enough public benchmark scores to rank yet.
  • List price $0.20 input · $0.20 output per 1M tokens (as of 2026-10-05).
  • Sold by 1 provider (as of 2026-10-05): DeepInfra (bf16) $0.20 in / $0.20 out.

How to cite · data as of 2026-10-05

Nemotron 3.5 Content Safety · benchmarks, pricing and providers. BenchGecko, data as of 2026-10-05. https://benchgecko.ai/model/nemotron-3-5-content-safety

Credit "Source: BenchGecko" with a link. Prices per provider and Gecko Tests are BenchGecko data (CC BY 4.0); benchmark scores keep their original source, listed in the JSON. JSON · llms.txt · MCP