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Nemotron 3 Nano Omni 30B A3B Reasoning vs Nemotron 3 Super 120B A12B

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 Nano Omni 30B A3B Reasoning vs Nemotron 3 Super 120B A12B: Benchmarks, Pricing & Speed Comparison

Nemotron 3 Nano Omni 30B A3B Reasoning dari NVIDIA dan Nemotron 3 Super 120B A12B dari NVIDIA adalah dua model AI unggulan. Nemotron 3 Nano Omni 30B A3B Reasoning menawarkan jendela konteks 256K token dengan harga $0.20/$0.60 per 1 juta token, sedangkan Nemotron 3 Super 120B A12B menyediakan konteks 262.1K token seharga $0.30/$0.80 per 1 juta token. Berikut perbandingan lengkap benchmark, latensi, dan biayanya.

Perbandingan Langsung (VS)

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NVIDIA

Nemotron 3 Nano Omni 30B A3B Reasoning

AI Multimodal Asli

Nemotron 3 Nano Omni 30B A3B Reasoning dari NVIDIA adalah model AI yang dirancang untuk pemahaman multimodal asli (teks & visual) serta analisis dokumen kompleks, menghadirkan jendela konteks 256K, kecepatan 105 token/detik, indeks kecerdas

Intelligence Index48 / 100
Input Token:

$0.20 / 1M

Output Token:

$0.60 / 1M

Context Window:

256K tokens

SWE-bench Verified:

42%

NVIDIA

Nemotron 3 Super 120B A12B

Model Agen Otonom & Alat

Nemotron 3 Super 120B A12B dari NVIDIA adalah model AI yang dirancang untuk alur kerja agen otonom, pemanggilan alat (tool calling), dan otomatisasi multi-langkah, menghadirkan jendela konteks 262K, kecepatan 85 token/detik, indeks kecerdas

Intelligence Index53 / 100
Input Token:

$0.30 / 1M

Output Token:

$0.80 / 1M

Context Window:

262.1K tokens

SWE-bench Verified:

51%

Perbedaan Utama Sekilas

  • Nemotron 3 Nano Omni 30B A3B Reasoning is 1.4x cheaper for API usage (input + output tokens combined).
  • Nemotron 3 Super 120B A12B has a larger context window (262K vs 256K tokens).
  • Nemotron 3 Nano Omni 30B A3B Reasoning is faster at 105 tok/s vs 85 tok/s.
  • Nemotron 3 Super 120B A12B leads on SWE-bench coding (51.0% vs 42.0%).
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureNemotron 3 Nano Omni 30B A3B ReasoningNemotron 3 Super 120B A12B
Intelligence Index
Composite reasoning & knowledge score (0-100)
4853
Provider
NVIDIANVIDIA
Input Price
Cost per million input tokens
$0.20 / 1M$0.30 / 1M
Output Price
Cost per million output tokens
$0.60 / 1M$0.80 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$0.14 / 1M$0.18 / 1M
Context Window
Maximum input + output tokens
256K tokens~384 A4 pages of text262.1K tokens~393 A4 pages of text
Max Output Tokens
Per single request
16K33K
Throughput Speed
Tokens generated per second
105 tok/s85 tok/s
SWE-bench Verified
Real-world software engineering
42%51%
GPQA Diamond
Graduate-level reasoning
56.5%64.5%
Cached Input Price
Prompt caching discount per 1M tokens
$0.05 / 1M$0.06 / 1M

Siapa Unggul di Mana?

At-a-glance decision framework
Coding
Nemotron 3 Super 120B A12B
+9.0% SWE-bench lead
Cost
Nemotron 3 Nano Omni 30B A3B Reasoning
1.4x cheaper monthly runtime
Speed
Nemotron 3 Nano Omni 30B A3B Reasoning
+24% faster generation
Context
Nemotron 3 Super 120B A12B
262.1K tokens window

Skor Benchmark Terverifikasi

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

Nemotron 3 Nano Omni 30B A3B ReasoningNemotron 3 Super 120B A12B
SWE-bench Verified (Autonomous Coding)

Industry benchmark evaluating real-world GitHub issue resolution and multi-file debugging.

42%vs51%
GPQA Diamond (Doctorate-Level Science & Math)

Challenging questions created by domain experts to test complex PhD-level reasoning.

56.5%vs64.5%
MMLU-Pro (Multi-task Language Understanding)

Hardened reasoning and academic knowledge benchmark with reduced lucky-guess probability.

77.2%vs82.8%
LMSYS Chatbot Arena Elo

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

1310ptsvs1350pts
Terminal-Bench (Agentic Coding & Terminal Use)

Autonomous multi-step tasks executed inside a real command-line terminal environment.

36.5%vs45%
AIME (Advanced Math Competition)

American Invitational Mathematics Examination — multi-step Olympiad-level reasoning.

66%vs74%
Long-Context Reasoning

Accuracy when reasoning over very large inputs that fill the model context window.

78%vs82%
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

105 tok/s vs85 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 Nano Omni 30B A3B Reasoning0.38s
Nemotron 3 Super 120B A12B0.46s
Est. End-to-End Response (500 tokens)TTFT + generation time
Nemotron 3 Nano Omni 30B A3B Reasoning5.14s
Nemotron 3 Super 120B A12B6.34s

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 Nano Omni 30B A3B Reasoning Monthly API Bill
$0.92 / month
$0.2/1M in · $0.6/1M out
Nemotron 3 Super 120B A12B Monthly API Bill
$1.26 / month
$0.3/1M in · $0.8/1M out
Nemotron 3 Nano Omni 30B A3B Reasoning saves approximately $0.34 / month (27%) under this workload.1.4x Savings

Nemotron 3 Nano Omni 30B A3B Reasoning · Strengths & Key Advantages

  • Jendela konteks 256K dengan kapasitas output maksimum hingga 16K token (SWE-bench Verified 42% · GPQA Diamond 56.5%)
  • Kecepatan generasi tinggi 105 token/detik dengan latensi token pertama (TTFT) hanya 380 ms
  • Bobot terbuka (30B (3B MoE)) 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 3 Super 120B A12B · Strengths & Key Advantages

  • Jendela konteks 262K dengan kapasitas output maksimum hingga 33K token (SWE-bench Verified 51% · GPQA Diamond 64.5%)
  • Kecepatan generasi tinggi 85 token/detik dengan latensi token pertama (TTFT) hanya 460 ms
  • Bobot terbuka (120B (12B MoE)) 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 Nano Omni 30B A3B ReasoningNemotron 3 Super 120B A12B
Cost per Task
Estimated USD to finish one task
$0.22$0.38
Output Tokens / Task
Tokens generated per task
28K38K
Reasoning Tokens / Task
Thinking tokens burned per task
12K18K

Spesifikasi Teknis

Architecture, release timeline, capabilities, and modalities.

FeatureNemotron 3 Nano Omni 30B A3B ReasoningNemotron 3 Super 120B A12B
Official API Model ID (SDK)nemotron-3-nano-omni-30b-a3bnemotron-3-super-120b-a12b
API ProtocolOpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGIOpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI
Release Date2026-042026-03
Knowledge CutoffFebruary 2026January 2026
ArchitectureOmnimodal Sparse MoE (30B Total / 3B Active)High-Throughput Sparse MoE (120B Total / 12B Active)
Parameters30B (3B active MoE)120B (12B active MoE)
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 ($0.2/1M in) across full 256K windowFlat rate ($0.3/1M in) across full 262K window
Prompt Cache Policy & TTLCached input at $0.05/1M tokensCached input at $0.06/1M tokens
Computer Use / GUI AgentAPI / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)
MCP & Parallel Tool CallingNative MCP Client/Server ready · Parallel function calling · 100% Strict JSON SchemaNative MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema
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) · Vision (~258–765 tokens per image tile) · Audio (~25–32 tokens/sec)Text BPE (~4 chars/token)
Quantization & Min GPU VRAMBF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0) · 19 GB VRAM (4-bit Quantized) · 65 GB VRAM (Native BF16)BF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0) · 74 GB VRAM (4-bit Quantized) · 258 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 Modalitiestext, vision, audiotext
Output Modalitiestexttext

Nemotron 3 Nano Omni 30B A3B Reasoning vs Nemotron 3 Super 120B A12B: Jawaban Cepat (FAQ)

Which is more intelligent, Nemotron 3 Nano Omni 30B A3B Reasoning or Nemotron 3 Super 120B A12B?

Nemotron 3 Super 120B A12B is more intelligent. It scores 53 compared with 48 on the composite Intelligence Index.

Which model is faster?

Nemotron 3 Nano Omni 30B A3B Reasoning is faster, generating 105 tokens per second compared with 85 tokens per second.

Which model is cheaper to run?

Nemotron 3 Nano Omni 30B A3B Reasoning is cheaper at $0.14 per 1M tokens blended, compared with $0.18 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Nemotron 3 Nano Omni 30B A3B Reasoning has lower latency, with a time to first token of 0.38s compared with 0.46s.

Which model has a larger context window?

Nemotron 3 Super 120B A12B has a larger context window, supporting 262.1K tokens compared with 256K tokens.

Kesimpulan

Baik Nemotron 3 Nano Omni 30B A3B Reasoning (Sangat cocok untuk pemahaman multimodal asli (teks & visual) serta analisis dokumen kompleks, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun Nemotron 3 Super 120B A12B (Sangat cocok untuk alur kerja agen otonom, pemanggilan alat (tool calling), dan otomatisasi multi-langkah, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: Nemotron 3 Super 120B A12B unggul dalam penalaran dan pemrograman, Nemotron 3 Nano Omni 30B A3B Reasoning memberikan kecepatan generasi token lebih tinggi, dan Nemotron 3 Nano Omni 30B A3B Reasoning lebih hemat biaya untuk penggunaan API skala besar.

Pertanyaan Umum (FAQ)

Mana yang lebih baik untuk coding dan penalaran, Nemotron 3 Nano Omni 30B A3B Reasoning atau Nemotron 3 Super 120B A12B?+

Dalam indeks kecerdasan gabungan dan benchmark coding, Nemotron 3 Super 120B A12B memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.

Berapa perbandingan harga API Nemotron 3 Nano Omni 30B A3B Reasoning vs Nemotron 3 Super 120B A12B?+

Nemotron 3 Nano Omni 30B A3B Reasoning mengenakan biaya $0.20 / $0.60 per 1M token input/output, sedangkan Nemotron 3 Super 120B A12B sebesar $0.30 / $0.80. Secara keseluruhan, Nemotron 3 Nano Omni 30B A3B Reasoning lebih hemat biaya.

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

Nemotron 3 Nano Omni 30B A3B Reasoning mendukung konteks 256K token dibandingkan 262.1K token pada Nemotron 3 Super 120B A12B, sementara Nemotron 3 Nano Omni 30B A3B Reasoning 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 & 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.

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