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Nemotron 3 Content Safety vs Nemotron Content Safety Reasoning 4B

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Verificato dal team di ricerca di GetInfoUsUltima verifica: October 2026Politica editoriale
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AI CompareAI BenchmarkToken PricingModel CostModel SpecsSWE-bench CodingModel VersusWhich AI ModelLLM Speed & LatencyReasoning ModelsExtended ThinkingPrompt Caching ROI
Nemotron 3 Content Safety vs Nemotron Content Safety Reasoning 4B: Benchmarks, Pricing & Speed Comparison

Nemotron 3 Content Safety di NVIDIA e Nemotron Content Safety Reasoning 4B di NVIDIA sono due modelli di IA di riferimento. Nemotron 3 Content Safety offre una finestra di contesto di 128K token a $0.05/$0.10 per milione di token, mentre Nemotron Content Safety Reasoning 4B mette a disposizione 128K token di contesto a $0.05/$0.15 per milione di token. Di seguito analizziamo benchmark, latenza e costi.

Confronto Diretto (VS)

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NVIDIA

Nemotron 3 Content Safety

Modello Base a Pesi Aperti

Nemotron 3 Content Safety di NVIDIA è un modello di IA progettato per il self-hosting su infrastruttura privata, il fine-tuning e la piena sovranità dei dati, con finestra di contesto da 128K, velocità di 190 token/s, indice di intelligenza

Intelligence Index37 / 100
Input Token:

$0.05 / 1M

Output Token:

$0.10 / 1M

Context Window:

128K tokens

SWE-bench Verified:

N/A

NVIDIA

Nemotron Content Safety Reasoning 4B

Ragionamento a Pesi Aperti

Nemotron Content Safety Reasoning 4B di NVIDIA è un modello di IA progettato per il ragionamento Chain-of-Thought a pesi aperti ad alta efficienza algoritmica, con finestra di contesto da 128K, velocità di 150 token/s, indice di intelligenz

Intelligence Index38 / 100
Input Token:

$0.05 / 1M

Output Token:

$0.15 / 1M

Context Window:

128K tokens

SWE-bench Verified:

N/A

Differenze Chiave a Colpo d’Occhio

  • Nemotron 3 Content Safety is 1.3x cheaper for API usage (input + output tokens combined).
  • Nemotron 3 Content Safety is faster at 190 tok/s vs 150 tok/s.
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureNemotron 3 Content SafetyNemotron Content Safety Reasoning 4B
Intelligence Index
Composite reasoning & knowledge score (0-100)
3738
Provider
NVIDIANVIDIA
Input Price
Cost per million input tokens
$0.05 / 1M$0.05 / 1M
Output Price
Cost per million output tokens
$0.10 / 1M$0.15 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$0.03 / 1M$0.03 / 1M
Context Window
Maximum input + output tokens
128K tokens~192 A4 pages of text128K tokens~192 A4 pages of text
Max Output Tokens
Per single request
2K4K
Throughput Speed
Tokens generated per second
190 tok/s150 tok/s
SWE-bench Verified
Real-world software engineering
N/AN/A
Cached Input Price
Prompt caching discount per 1M tokens
$0.01 / 1M$0.01 / 1M

Chi vince in ogni categoria?

At-a-glance decision framework
Coding

Evaluations ongoing

Cost
Nemotron 3 Content Safety
1.3x cheaper monthly runtime
Speed
Nemotron 3 Content Safety
+27% faster generation
Context
Tied
128K tokens window

Punteggi Benchmark Verificati

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

Nemotron 3 Content SafetyNemotron Content Safety Reasoning 4B
LMSYS Chatbot Arena Elo

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

1175ptsvs1190pts
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

190 tok/s vs150 tok/s

Latenza e Tempo di Risposta

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 Content Safety0.16s
Nemotron Content Safety Reasoning 4B0.24s
Est. End-to-End Response (500 tokens)TTFT + generation time
Nemotron 3 Content Safety2.79s
Nemotron Content Safety Reasoning 4B3.57s

Simulatore Interattivo dei Costi Token

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

100K / day
10K500K1M
30K / day
5K150K300K
50% cached
0% (Cold)50%90% (Warm)
Nemotron 3 Content Safety Monthly API Bill
$0.18 / month
$0.05/1M in · $0.1/1M out
Nemotron Content Safety Reasoning 4B Monthly API Bill
$0.23 / month
$0.05/1M in · $0.15/1M out
Nemotron 3 Content Safety saves approximately $0.05 / month (20%) under this workload.1.3x Savings

Nemotron 3 Content Safety · Strengths & Key Advantages

  • Finestra di contesto da 128K con capacità massima di output fino a 2K token (Arena Elo 1175)
  • Throughput elevato di 190 token/secondo con latenza al primo token (TTFT) di soli 160 ms
  • Pesi aperti (8B) pronti per il self-hosting locale o su cloud privato tramite vLLM, SGLang o Ollama
Considerations & Trade-offs
  • Richiede server GPU dedicati con sufficiente memoria VRAM per l’esecuzione locale a piena precisione
  • Nelle dimostrazioni scientifiche più estreme, i modelli di ragionamento pesante dedicati offrono maggiore profondità

Nemotron Content Safety Reasoning 4B · Strengths & Key Advantages

  • Finestra di contesto da 128K con capacità massima di output fino a 4K token (Arena Elo 1190)
  • Throughput elevato di 150 token/secondo con latenza al primo token (TTFT) di soli 240 ms
  • Pesi aperti (4B) pronti per il self-hosting locale o su cloud privato tramite vLLM, SGLang o Ollama
Considerations & Trade-offs
  • Richiede server GPU dedicati con sufficiente memoria VRAM per l’esecuzione locale a piena precisione
  • Nelle dimostrazioni scientifiche più estreme, i modelli di ragionamento pesante dedicati offrono maggiore profondità

Token Use & Task Economics

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

MetricNemotron 3 Content SafetyNemotron Content Safety Reasoning 4B
Cost per Task
Estimated USD to finish one task
$0.01$0.02
Output Tokens / Task
Tokens generated per task
2K4K
Reasoning Tokens / Task
Thinking tokens burned per task
0K2K

Specifiche Tecniche

Architecture, release timeline, capabilities, and modalities.

FeatureNemotron 3 Content SafetyNemotron Content Safety Reasoning 4B
Official API Model ID (SDK)nemotron-3-content-safetynemotron-content-safety-reasoning-4b
API ProtocolOpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGIOpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI
Release Date2026-042026-01
Knowledge CutoffFebruary 2026November 2025
ArchitectureEnterprise Safety Classifier TransformerReasoning-Augmented Safety Classifier
Parameters8B4B
Enterprise Rate Limits (RPM / TPM)Unlimited (Hardware-bound on self-hosted GPU) / 10,000 RPM Cloud · Unlimited local throughput / 10M+ TPM Managed CloudUnlimited (Hardware-bound on self-hosted GPU) / 10,000 RPM Cloud · Unlimited local throughput / 10M+ TPM Managed Cloud
Long-Context Tier (>128K/200K)Flat rate ($0.05/1M in) across full 128K windowFlat rate ($0.05/1M in) across full 128K window
Prompt Cache Policy & TTLCached input at $0.01/1M tokensCached input at $0.01/1M tokens
Computer Use / GUI AgentText-only completion (No GUI action loop)Text-only completion (No GUI action loop)
MCP & Parallel Tool CallingPrompt-based JSON extraction onlyPrompt-based JSON extraction only
Web Search Grounding & SandboxSupported via external Tavily/Exa Search & E2B/Docker Sandbox toolsSupported via external Tavily/Exa Search & E2B/Docker Sandbox tools
Official Fine-Tuning SupportFull 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 BillingText BPE (~4 chars/token)Text BPE (~4 chars/token)
Quantization & Min GPU VRAMBF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0) · 5 GB VRAM (4-bit Quantized) · 17 GB VRAM (Native BF16)BF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0) · 2 GB VRAM (4-bit Quantized) · 9 GB VRAM (Native BF16)
Safety & Frontier ClassificationOpen-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 Control100% Air-Gapped On-Premises / Private VPC · Full HIPAA, GDPR & SOC2 Control
Input Modalitiestexttext
Output Modalitiestexttext

Nemotron 3 Content Safety vs Nemotron Content Safety Reasoning 4B: Risposte Rapide (FAQ)

Which is more intelligent, Nemotron 3 Content Safety or Nemotron Content Safety Reasoning 4B?

Nemotron Content Safety Reasoning 4B is more intelligent. It scores 38 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 150 tokens per second.

Which model has lower latency?

Nemotron 3 Content Safety has lower latency, with a time to first token of 0.16s compared with 0.24s.

Verdetto

Sia Nemotron 3 Content Safety (Ideale per il self-hosting su infrastruttura privata, il fine-tuning e la piena sovranità dei dati, sistemi RAG aziendali e integrazioni API scalabili.) sia Nemotron Content Safety Reasoning 4B (Ideale per il ragionamento Chain-of-Thought a pesi aperti ad alta efficienza algoritmica, sistemi RAG aziendali e integrazioni API scalabili.) eccellono in produzione: Nemotron Content Safety Reasoning 4B guida nei benchmark di ragionamento e programmazione, Nemotron 3 Content Safety garantisce una generazione più rapida e Nemotron 3 Content Safety offre il miglior rapporto qualità-prezzo per carichi API elevati.

Domande Frequenti (FAQ)

Quale modello è migliore per coding e ragionamento, Nemotron 3 Content Safety o Nemotron Content Safety Reasoning 4B?+

Nell’indice di intelligenza composito e nei benchmark di programmazione prevale Nemotron Content Safety Reasoning 4B. Consulta i punteggi SWE-bench e GPQA qui sopra per tutti i dettagli.

Qual è la differenza di prezzo API tra Nemotron 3 Content Safety e Nemotron Content Safety Reasoning 4B?+

Nemotron 3 Content Safety costa $0.05 / $0.10 per milione di token di input/output, mentre Nemotron Content Safety Reasoning 4B costa $0.05 / $0.15. Nel costo combinato, Nemotron 3 Content Safety risulta più economico.

Quale modello ha la finestra di contesto più ampia e la velocità maggiore?+

Nemotron 3 Content Safety supporta 128K token di contesto contro 128K token di Nemotron Content Safety Reasoning 4B, mentre Nemotron 3 Content Safety offre una velocità di generazione superiore.

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 & PricingContext WindowAI BenchmarksReasoning ModelsTool CallingModel Context Protocol (MCP)

Related reading

Benchmark scores, token prices, and rate limits evolve rapidly as AI labs release model updates. Always verify current specifications and pricing on the official provider documentation.

Fonti ufficiali: Documentazione API ufficiale di NVIDIA e NVIDIA, schede di sistema e benchmark indipendenti (2026).