Head-to-Head Model Comparison

Nemotron 3.5 Content Safety vs Nemotron 3 Content Safety

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Geprüft vom GetInfoUs-ForschungsteamZuletzt geprüft: October 2026Redaktionelle Richtlinien

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Nemotron 3.5 Content SafetyProfile

Nemotron 3 Content SafetyProfile

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Popular Matchups:

NVIDIA

Nemotron 3.5 Content Safety

Open-Weights-Basismodell

Nemotron 3.5 Content Safety von NVIDIA ist ein KI-Modell für Self-Hosting im eigenen Rechenzentrum, Fine-Tuning und volle Datensouveränität mit 128K Kontextfenster, 160 Token/s Durchsatz, einem Intelligenz-Index von 39/100 und $0.08/$0.16 p

Intelligence Index39 / 100

Input Token:

$0.08 / 1M

Output Token:

$0.16 / 1M

Context Window:

128K tokens

SWE-bench Verified:

N/A

NVIDIA

Nemotron 3 Content Safety

Open-Weights-Basismodell

Nemotron 3 Content Safety von NVIDIA ist ein KI-Modell für Self-Hosting im eigenen Rechenzentrum, Fine-Tuning und volle Datensouveränität mit 128K Kontextfenster, 190 Token/s Durchsatz, einem Intelligenz-Index von 37/100 und $0.05/$0.1 pro

Intelligence Index37 / 100

Input Token:

$0.05 / 1M

Output Token:

$0.10 / 1M

Context Window:

128K tokens

SWE-bench Verified:

N/A

Wichtigste Unterschiede auf einen Blick

Nemotron 3 Content Safety is 1.6x cheaper for API usage (input + output tokens combined).
Nemotron 3 Content Safety is faster at 190 tok/s vs 160 tok/s.

Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →

Feature	Nemotron 3.5 Content Safety	Nemotron 3 Content Safety
Intelligence Index Composite reasoning & knowledge score (0-100)	39	37
Provider	NVIDIA	NVIDIA
Input Price Cost per million input tokens	$0.08 / 1M	$0.05 / 1M
Output Price Cost per million output tokens	$0.16 / 1M	$0.10 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$0.05 / 1M	$0.03 / 1M
Context Window Maximum input + output tokens	128K tokens~192 A4 pages of text	128K tokens~192 A4 pages of text
Max Output Tokens Per single request	2K	2K
Throughput Speed Tokens generated per second	160 tok/s	190 tok/s
SWE-bench Verified Real-world software engineering	N/A	N/A
Cached Input Price Prompt caching discount per 1M tokens	$0.02 / 1M	$0.01 / 1M

Wer gewinnt in welcher Disziplin?

At-a-glance decision framework

Coding

Evaluations ongoing

Cost

Nemotron 3 Content Safety

1.6x cheaper monthly runtime

Speed

Nemotron 3 Content Safety

+19% faster generation

Context

Tied

128K tokens window

Geprüfte Benchmark-Ergebnisse im Vergleich

Official evaluation metrics verified by independent third-party research labs.

Nemotron 3.5 Content SafetyNemotron 3 Content Safety

LMSYS Chatbot Arena Elo

Crowdsourced human preference evaluation based on blind, head-to-head model battles.

1200ptsvs1175pts

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

160 tok/s vs190 tok/s

Latenz & Antwortzeit

Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.

Time to First Token (TTFT)Lower is better

Nemotron 3.5 Content Safety0.22s

Nemotron 3 Content Safety0.16s

Est. End-to-End Response (500 tokens)TTFT + generation time

Nemotron 3.5 Content Safety3.35s

Nemotron 3 Content Safety2.79s

Interaktiver Token-Kosten-Simulator

Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.

Daily Input Tokens100K / day

10K500K1M

Daily Output Tokens30K / day

5K150K300K

Prompt Cache Hit Ratio50% cached

0% (Cold)50%90% (Warm)

Nemotron 3.5 Content Safety Monthly API Bill

$0.29 / month

$0.08/1M in · $0.16/1M out

Nemotron 3 Content Safety Monthly API Bill

$0.18 / month

$0.05/1M in · $0.1/1M out

Nemotron 3 Content Safety saves approximately $0.11 / month (39%) under this workload.1.6x Savings

Nemotron 3.5 Content Safety · Strengths & Key Advantages

128K Kontextfenster und bis zu 2K maximale Output-Token (Arena Elo 1200)
Hohe Generierungsgeschwindigkeit von 160 Token/Sekunde bei nur 220 ms Erstlatenz (TTFT)
Offene Modellgewichte (12B) für lokales Self-Hosting und Fine-Tuning über vLLM, SGLang oder Ollama

Considerations & Trade-offs

Erfordert dedizierte GPU-Hardware mit ausreichend VRAM für den lokalen Betrieb in voller Präzision
Bei extrem komplexen mehrstufigen Forschungsfragen bieten schwere Reasoning-Spezialmodelle noch tiefere Analysen

Nemotron 3 Content Safety · Strengths & Key Advantages

128K Kontextfenster und bis zu 2K maximale Output-Token (Arena Elo 1175)
Hohe Generierungsgeschwindigkeit von 190 Token/Sekunde bei nur 160 ms Erstlatenz (TTFT)
Offene Modellgewichte (8B) für lokales Self-Hosting und Fine-Tuning über vLLM, SGLang oder Ollama

Considerations & Trade-offs

Erfordert dedizierte GPU-Hardware mit ausreichend VRAM für den lokalen Betrieb in voller Präzision
Bei extrem komplexen mehrstufigen Forschungsfragen bieten schwere Reasoning-Spezialmodelle noch tiefere Analysen

Token Use & Task Economics

Estimated cost and token consumption to complete one representative agentic task.

Metric	Nemotron 3.5 Content Safety	Nemotron 3 Content Safety
Cost per Task Estimated USD to finish one task	$0.02	$0.01
Output Tokens / Task Tokens generated per task	2K	2K
Reasoning Tokens / Task Thinking tokens burned per task	1K	0K

Technische Spezifikationen

Architecture, release timeline, capabilities, and modalities.

Feature	Nemotron 3.5 Content Safety	Nemotron 3 Content Safety
Official API Model ID (SDK)	nemotron-3-5-content-safety	nemotron-3-content-safety
API Protocol	OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI	OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI
Release Date	2026-06	2026-04
Knowledge Cutoff	April 2026	February 2026
Architecture	Multimodal Safety & Compliance Classifier	Enterprise Safety Classifier Transformer
Parameters	12B	8B
Enterprise Rate Limits (RPM / TPM)	Unlimited (Hardware-bound on self-hosted GPU) / 10,000 RPM Cloud · Unlimited local throughput / 10M+ TPM Managed Cloud	Unlimited (Hardware-bound on self-hosted GPU) / 10,000 RPM Cloud · Unlimited local throughput / 10M+ TPM Managed Cloud
Long-Context Tier (>128K/200K)	Flat rate ($0.08/1M in) across full 128K window	Flat rate ($0.05/1M in) across full 128K window
Prompt Cache Policy & TTL	Cached input at $0.02/1M tokens	Cached input at $0.01/1M tokens
Computer Use / GUI Agent	Text-only completion (No GUI action loop)	Text-only completion (No GUI action loop)
MCP & Parallel Tool Calling	Prompt-based JSON extraction only	Prompt-based JSON extraction only
Web Search Grounding & Sandbox	Supported via external Tavily/Exa Search & E2B/Docker Sandbox tools	Supported via external Tavily/Exa Search & E2B/Docker Sandbox tools
Official Fine-Tuning Support	Full Weights SFT, LoRA, QLoRA, DPO & GRPO RL (Unsloth / Axolotl / Llama-Factory)	Full Weights SFT, LoRA, QLoRA, DPO & GRPO RL (Unsloth / Axolotl / Llama-Factory)
Multimodal Token Billing	Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile)	Text BPE (~4 chars/token)
Quantization & Min GPU VRAM	BF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0) · 7 GB VRAM (4-bit Quantized) · 26 GB VRAM (Native BF16)	BF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0) · 5 GB VRAM (4-bit Quantized) · 17 GB VRAM (Native BF16)
Safety & Frontier Classification	Open-Weights System Card + Customizable Guardrail Layer (Llama Guard / ShieldGemma)	Open-Weights System Card + Customizable Guardrail Layer (Llama Guard / ShieldGemma)
Enterprise Compliance (ZDR/HIPAA/SOC2)	100% Air-Gapped On-Premises / Private VPC · Full HIPAA, GDPR & SOC2 Control	100% Air-Gapped On-Premises / Private VPC · Full HIPAA, GDPR & SOC2 Control
Input Modalities	text, vision	text
Output Modalities	text	text

Nemotron 3.5 Content Safety vs Nemotron 3 Content Safety: Schnelle Antworten (FAQ)

Which is more intelligent, Nemotron 3.5 Content Safety or Nemotron 3 Content Safety?

Nemotron 3.5 Content Safety is more intelligent. It scores 39 compared with 37 on the composite Intelligence Index.

Which model is faster?

Nemotron 3 Content Safety is faster, generating 190 tokens per second compared with 160 tokens per second.

Which model is cheaper to run?

Nemotron 3 Content Safety is cheaper at $0.03 per 1M tokens blended, compared with $0.05 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Nemotron 3 Content Safety has lower latency, with a time to first token of 0.16s compared with 0.22s.

Fazit

Sowohl Nemotron 3.5 Content Safety (Optimal für Self-Hosting im eigenen Rechenzentrum, Fine-Tuning und volle Datensouveränität, Enterprise-RAG-Systeme und skalierbare API-Pipelines.) als auch Nemotron 3 Content Safety (Optimal für Self-Hosting im eigenen Rechenzentrum, Fine-Tuning und volle Datensouveränität, Enterprise-RAG-Systeme und skalierbare API-Pipelines.) überzeugen im Produktionseinsatz: Nemotron 3.5 Content Safety führt bei komplexem Reasoning und Coding, Nemotron 3 Content Safety liefert den höheren Token-Durchsatz und Nemotron 3 Content Safety ist die kosteneffizienteste Wahl für große API-Workloads.

Häufig gestellte Fragen (FAQ)

Welches Modell ist besser für Coding und Reasoning – Nemotron 3.5 Content Safety oder Nemotron 3 Content Safety?+

Im Gesamt-Intelligenzindex und bei Software-Benchmarks liegt Nemotron 3.5 Content Safety vorn. Prüfen Sie oben die SWE-bench- und GPQA-Werte für Ihren Anwendungsfall.

Wie unterscheiden sich die API-Preise von Nemotron 3.5 Content Safety und Nemotron 3 Content Safety?+

Nemotron 3.5 Content Safety kostet $0.08 / $0.16 pro 1M Input-/Output-Tokens, Nemotron 3 Content Safety liegt bei $0.05 / $0.10. Beim gewichteten Gesamtpreis ist Nemotron 3 Content Safety günstiger.

Welches Modell hat das größere Kontextfenster und die höhere Geschwindigkeit?+

Nemotron 3.5 Content Safety bietet 128K Tokens Kontext gegenüber 128K Tokens bei Nemotron 3 Content Safety. Bei der Generierungsgeschwindigkeit liegt Nemotron 3 Content Safety vorn.

AI Terminology & Guide

Explore Glossary →

Understand key metrics like context window, token pricing, reasoning mode, and SWE-bench scores in our comprehensive AI glossary.

Tokens & Pricing Context Window AI Benchmarks Reasoning Models Tool Calling Model Context Protocol (MCP)

Nemotron 3.5 Content Safety vs Nemotron 3 Content Safety

Beliebige Modelle wechseln & vergleichen

Nemotron 3.5 Content Safety

Nemotron 3 Content Safety

Wer gewinnt in welcher Disziplin?

Geprüfte Benchmark-Ergebnisse im Vergleich

Latenz & Antwortzeit

Interaktiver Token-Kosten-Simulator

Nemotron 3.5 Content Safety · Strengths & Key Advantages

Considerations & Trade-offs

Nemotron 3 Content Safety · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Technische Spezifikationen

Nemotron 3.5 Content Safety vs Nemotron 3 Content Safety: Schnelle Antworten (FAQ)

Fazit

Häufig gestellte Fragen (FAQ)

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