Head-to-Head Model Comparison

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

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Ditinjau oleh tim riset GetInfoUsPeninjauan terakhir: October 2026Kebijakan editorial

Ganti & Bandingkan Model Apa Saja

Select any AI models from our verified benchmark database to generate live side-by-side matrices.

Nemotron Content Safety Reasoning 4BProfile

Llama 3.1 Nemotron Safety Guard 8B v3Profile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

NVIDIA

Nemotron Content Safety Reasoning 4B

Penalaran Bobot Terbuka

Nemotron Content Safety Reasoning 4B dari NVIDIA adalah model AI yang dirancang untuk penalaran rantai pemikiran (Chain-of-Thought) berbobot terbuka yang sangat efisien, menghadirkan jendela konteks 128K, kecepatan 150 token/detik, indeks k

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

Model Dasar Bobot Terbuka

Llama 3.1 Nemotron Safety Guard 8B v3 dari NVIDIA adalah model AI yang dirancang untuk self-hosting di server pribadi, fine-tuning, dan kedaulatan data penuh, menghadirkan jendela konteks 128K, kecepatan 180 token/detik, indeks kecerdasan 3

Intelligence Index36 / 100

Input Token:

$0.05 / 1M

Output Token:

$0.10 / 1M

Context Window:

128K tokens

SWE-bench Verified:

N/A

Perbedaan Utama Sekilas

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 →

Feature	Nemotron Content Safety Reasoning 4B	Llama 3.1 Nemotron Safety Guard 8B v3
Intelligence Index Composite reasoning & knowledge score (0-100)	38	36
Provider	NVIDIA	NVIDIA
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 text	128K tokens~192 A4 pages of text
Max Output Tokens Per single request	4K	2K
Throughput Speed Tokens generated per second	150 tok/s	180 tok/s
SWE-bench Verified Real-world software engineering	N/A	N/A
Cached Input Price Prompt caching discount per 1M tokens	$0.01 / 1M	$0.01 / 1M

Siapa Unggul di Mana?

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

Skor Benchmark Terverifikasi

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

Latensi & Waktu Respons

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

Simulator Biaya Token Interaktif

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 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

Jendela konteks 128K dengan kapasitas output maksimum hingga 4K token (Arena Elo 1190)
Kecepatan generasi tinggi 150 token/detik dengan latensi token pertama (TTFT) hanya 240 ms
Bobot terbuka (4B) yang siap di-hosting mandiri di GPU lokal atau cloud privat melalui vLLM dan Ollama

Considerations & Trade-offs

Membutuhkan infrastruktur GPU dengan kapasitas VRAM yang memadai untuk eksekusi lokal presisi penuh
Pada tugas pembuktian ilmiah tingkat ekstrem, model penalaran berat kelas atas memberikan kedalaman lebih tinggi

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

Jendela konteks 128K dengan kapasitas output maksimum hingga 2K token (Arena Elo 1160)
Kecepatan generasi tinggi 180 token/detik dengan latensi token pertama (TTFT) hanya 180 ms
Bobot terbuka (8B) yang siap di-hosting mandiri di GPU lokal atau cloud privat melalui vLLM dan Ollama

Considerations & Trade-offs

Membutuhkan infrastruktur GPU dengan kapasitas VRAM yang memadai untuk eksekusi lokal presisi penuh
Pada tugas pembuktian ilmiah tingkat ekstrem, model penalaran berat kelas atas memberikan kedalaman lebih tinggi

Token Use & Task Economics

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

Metric	Nemotron Content Safety Reasoning 4B	Llama 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	4K	2K
Reasoning Tokens / Task Thinking tokens burned per task	2K	0K

Spesifikasi Teknis

Architecture, release timeline, capabilities, and modalities.

Feature	Nemotron Content Safety Reasoning 4B	Llama 3.1 Nemotron Safety Guard 8B v3
Official API Model ID (SDK)	nemotron-content-safety-reasoning-4b	llama-3-1-nemotron-safety-guard-8b-v3
API Protocol	OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI	OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI
Release Date	2026-01	2025-10
Knowledge Cutoff	November 2025	August 2025
Architecture	Reasoning-Augmented Safety Classifier	Specialized Guardrail Classifier Transformer
Parameters	4B	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 ($0.05/1M in) across full 128K window	Flat rate ($0.05/1M in) across full 128K window
Prompt Cache Policy & TTL	Cached input at $0.01/1M 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)	Text BPE (~4 chars/token)
Quantization & Min GPU VRAM	BF16 / 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 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	text
Output Modalities	text	text

Nemotron Content Safety Reasoning 4B vs Llama 3.1 Nemotron Safety Guard 8B v3: Jawaban Cepat (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.

Kesimpulan

Baik Nemotron Content Safety Reasoning 4B (Sangat cocok untuk penalaran rantai pemikiran (Chain-of-Thought) berbobot terbuka yang sangat efisien, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun Llama 3.1 Nemotron Safety Guard 8B v3 (Sangat cocok untuk self-hosting di server pribadi, fine-tuning, dan kedaulatan data penuh, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: Nemotron Content Safety Reasoning 4B unggul dalam penalaran dan pemrograman, Llama 3.1 Nemotron Safety Guard 8B v3 memberikan kecepatan generasi token lebih tinggi, dan Llama 3.1 Nemotron Safety Guard 8B v3 lebih hemat biaya untuk penggunaan API skala besar.

Pertanyaan Umum (FAQ)

Mana yang lebih baik untuk coding dan penalaran, Nemotron Content Safety Reasoning 4B atau Llama 3.1 Nemotron Safety Guard 8B v3?+

Dalam indeks kecerdasan gabungan dan benchmark coding, Nemotron Content Safety Reasoning 4B memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.

Berapa perbandingan harga API Nemotron Content Safety Reasoning 4B vs Llama 3.1 Nemotron Safety Guard 8B v3?+

Nemotron Content Safety Reasoning 4B mengenakan biaya $0.05 / $0.15 per 1M token input/output, sedangkan Llama 3.1 Nemotron Safety Guard 8B v3 sebesar $0.05 / $0.10. Secara keseluruhan, Llama 3.1 Nemotron Safety Guard 8B v3 lebih hemat biaya.

Model mana yang memiliki jendela konteks lebih besar dan kecepatan lebih tinggi?+

Nemotron Content Safety Reasoning 4B mendukung konteks 128K token dibandingkan 128K token pada Llama 3.1 Nemotron Safety Guard 8B v3, sementara Llama 3.1 Nemotron Safety Guard 8B v3 unggul dalam kecepatan output token per detik.

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

Ganti & Bandingkan Model Apa Saja

Nemotron Content Safety Reasoning 4B

Llama 3.1 Nemotron Safety Guard 8B v3

Siapa Unggul di Mana?

Skor Benchmark Terverifikasi

Latensi & Waktu Respons

Simulator Biaya Token Interaktif

Nemotron Content Safety Reasoning 4B · Strengths & Key Advantages

Considerations & Trade-offs

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

Considerations & Trade-offs

Token Use & Task Economics

Spesifikasi Teknis

Nemotron Content Safety Reasoning 4B vs Llama 3.1 Nemotron Safety Guard 8B v3: Jawaban Cepat (FAQ)

Kesimpulan

Pertanyaan Umum (FAQ)

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