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Nemotron Content Safety Reasoning 4B vs Llama 3.1 Nemotron Safety Guard 8B v3

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 Content Safety Reasoning 4B vs Llama 3.1 Nemotron Safety Guard 8B v3: Benchmarks, Pricing & Speed Comparison

Nemotron Content Safety Reasoning 4B di NVIDIA e Llama 3.1 Nemotron Safety Guard 8B v3 di NVIDIA sono due modelli di IA di riferimento. Nemotron Content Safety Reasoning 4B offre una finestra di contesto di 128K token a $0.05/$0.15 per milione di token, mentre Llama 3.1 Nemotron Safety Guard 8B v3 mette a disposizione 128K token di contesto a $0.05/$0.10 per milione di token. Di seguito analizziamo benchmark, latenza e costi.

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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

NVIDIA

Llama 3.1 Nemotron Safety Guard 8B v3

Modello Base a Pesi Aperti

Llama 3.1 Nemotron Safety Guard 8B v3 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 180 token/s, indice di

Intelligence Index36 / 100
Input Token:

$0.05 / 1M

Output Token:

$0.10 / 1M

Context Window:

128K tokens

SWE-bench Verified:

N/A

Differenze Chiave a Colpo d’Occhio

  • Llama 3.1 Nemotron Safety Guard 8B v3 is 1.3x cheaper for API usage (input + output tokens combined).
  • Llama 3.1 Nemotron Safety Guard 8B v3 is faster at 180 tok/s vs 150 tok/s.
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureNemotron Content Safety Reasoning 4BLlama 3.1 Nemotron Safety Guard 8B v3
Intelligence Index
Composite reasoning & knowledge score (0-100)
3836
Provider
NVIDIANVIDIA
Input Price
Cost per million input tokens
$0.05 / 1M$0.05 / 1M
Output Price
Cost per million output tokens
$0.15 / 1M$0.10 / 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
4K2K
Throughput Speed
Tokens generated per second
150 tok/s180 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
Llama 3.1 Nemotron Safety Guard 8B v3
1.3x cheaper monthly runtime
Speed
Llama 3.1 Nemotron Safety Guard 8B v3
+20% faster generation
Context
Tied
128K tokens window

Punteggi Benchmark Verificati

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

Nemotron Content Safety Reasoning 4BLlama 3.1 Nemotron Safety Guard 8B v3
LMSYS Chatbot Arena Elo

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

1190ptsvs1160pts
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

150 tok/s vs180 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 Content Safety Reasoning 4B0.24s
Llama 3.1 Nemotron Safety Guard 8B v30.18s
Est. End-to-End Response (500 tokens)TTFT + generation time
Nemotron Content Safety Reasoning 4B3.57s
Llama 3.1 Nemotron Safety Guard 8B v32.96s

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 Content Safety Reasoning 4B Monthly API Bill
$0.23 / month
$0.05/1M in · $0.15/1M out
Llama 3.1 Nemotron Safety Guard 8B v3 Monthly API Bill
$0.18 / month
$0.05/1M in · $0.1/1M out
Llama 3.1 Nemotron Safety Guard 8B v3 saves approximately $0.05 / month (20%) under this workload.1.3x Savings

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

Llama 3.1 Nemotron Safety Guard 8B v3 · Strengths & Key Advantages

  • Finestra di contesto da 128K con capacità massima di output fino a 2K token (Arena Elo 1160)
  • Throughput elevato di 180 token/secondo con latenza al primo token (TTFT) di soli 180 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

Token Use & Task Economics

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

MetricNemotron Content Safety Reasoning 4BLlama 3.1 Nemotron Safety Guard 8B v3
Cost per Task
Estimated USD to finish one task
$0.02$0.01
Output Tokens / Task
Tokens generated per task
4K2K
Reasoning Tokens / Task
Thinking tokens burned per task
2K0K

Specifiche Tecniche

Architecture, release timeline, capabilities, and modalities.

FeatureNemotron Content Safety Reasoning 4BLlama 3.1 Nemotron Safety Guard 8B v3
Official API Model ID (SDK)nemotron-content-safety-reasoning-4bllama-3-1-nemotron-safety-guard-8b-v3
API ProtocolOpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGIOpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI
Release Date2026-012025-10
Knowledge CutoffNovember 2025August 2025
ArchitectureReasoning-Augmented Safety ClassifierSpecialized Guardrail Classifier Transformer
Parameters4B8B
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) · 2 GB VRAM (4-bit Quantized) · 9 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 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 Content Safety Reasoning 4B vs Llama 3.1 Nemotron Safety Guard 8B v3: Risposte Rapide (FAQ)

Which is more intelligent, Nemotron Content Safety Reasoning 4B or Llama 3.1 Nemotron Safety Guard 8B v3?

Nemotron Content Safety Reasoning 4B is more intelligent. It scores 38 compared with 36 on the composite Intelligence Index.

Which model is faster?

Llama 3.1 Nemotron Safety Guard 8B v3 is faster, generating 180 tokens per second compared with 150 tokens per second.

Which model has lower latency?

Llama 3.1 Nemotron Safety Guard 8B v3 has lower latency, with a time to first token of 0.18s compared with 0.24s.

Verdetto

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.) sia Llama 3.1 Nemotron Safety Guard 8B v3 (Ideale per il self-hosting su infrastruttura privata, il fine-tuning e la piena sovranità dei dati, sistemi RAG aziendali e integrazioni API scalabili.) eccellono in produzione: Nemotron Content Safety Reasoning 4B guida nei benchmark di ragionamento e programmazione, Llama 3.1 Nemotron Safety Guard 8B v3 garantisce una generazione più rapida e Llama 3.1 Nemotron Safety Guard 8B v3 offre il miglior rapporto qualità-prezzo per carichi API elevati.

Domande Frequenti (FAQ)

Quale modello è migliore per coding e ragionamento, Nemotron Content Safety Reasoning 4B o Llama 3.1 Nemotron Safety Guard 8B v3?+

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 Content Safety Reasoning 4B e Llama 3.1 Nemotron Safety Guard 8B v3?+

Nemotron Content Safety Reasoning 4B costa $0.05 / $0.15 per milione di token di input/output, mentre Llama 3.1 Nemotron Safety Guard 8B v3 costa $0.05 / $0.10. Nel costo combinato, Llama 3.1 Nemotron Safety Guard 8B v3 risulta più economico.

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

Nemotron Content Safety Reasoning 4B supporta 128K token di contesto contro 128K token di Llama 3.1 Nemotron Safety Guard 8B v3, mentre Llama 3.1 Nemotron Safety Guard 8B v3 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).