Head-to-Head Model Comparison

Nemotron 3 Content Safety vs Nemotron Content Safety Reasoning 4B

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Ditinjau oleh tim riset GetInfoUsPeninjauan terakhir: October 2026Kebijakan editorial
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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 dari NVIDIA dan Nemotron Content Safety Reasoning 4B dari NVIDIA adalah dua model AI unggulan. Nemotron 3 Content Safety menawarkan jendela konteks 128K token dengan harga $0.05/$0.10 per 1 juta token, sedangkan Nemotron Content Safety Reasoning 4B menyediakan konteks 128K token seharga $0.05/$0.15 per 1 juta token. Berikut perbandingan lengkap benchmark, latensi, dan biayanya.

Perbandingan Langsung (VS)

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NVIDIA

Nemotron 3 Content Safety

Model Dasar Bobot Terbuka

Nemotron 3 Content Safety dari NVIDIA adalah model AI yang dirancang untuk self-hosting di server pribadi, fine-tuning, dan kedaulatan data penuh, menghadirkan jendela konteks 128K, kecepatan 190 token/detik, indeks kecerdasan 37/100, serta

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

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

Perbedaan Utama Sekilas

  • 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

Siapa Unggul di Mana?

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

Skor Benchmark Terverifikasi

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

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 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

Simulator Biaya Token Interaktif

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

  • Jendela konteks 128K dengan kapasitas output maksimum hingga 2K token (Arena Elo 1175)
  • Kecepatan generasi tinggi 190 token/detik dengan latensi token pertama (TTFT) hanya 160 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

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

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

Spesifikasi Teknis

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: Jawaban Cepat (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.

Kesimpulan

Baik Nemotron 3 Content Safety (Sangat cocok untuk self-hosting di server pribadi, fine-tuning, dan kedaulatan data penuh, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun 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.) sangat tangguh: Nemotron Content Safety Reasoning 4B unggul dalam penalaran dan pemrograman, Nemotron 3 Content Safety memberikan kecepatan generasi token lebih tinggi, dan Nemotron 3 Content Safety lebih hemat biaya untuk penggunaan API skala besar.

Pertanyaan Umum (FAQ)

Mana yang lebih baik untuk coding dan penalaran, Nemotron 3 Content Safety atau Nemotron Content Safety Reasoning 4B?+

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 3 Content Safety vs Nemotron Content Safety Reasoning 4B?+

Nemotron 3 Content Safety mengenakan biaya $0.05 / $0.10 per 1M token input/output, sedangkan Nemotron Content Safety Reasoning 4B sebesar $0.05 / $0.15. Secara keseluruhan, Nemotron 3 Content Safety lebih hemat biaya.

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

Nemotron 3 Content Safety mendukung konteks 128K token dibandingkan 128K token pada Nemotron Content Safety Reasoning 4B, sementara Nemotron 3 Content Safety 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.

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.

Sumber resmi: Dokumentasi API resmi NVIDIA & NVIDIA serta evaluasi benchmark independen (2026).