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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

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

Nemotron 3 Nano Omni 30B A3B Reasoning di NVIDIA e Nemotron 3 Super 120B A12B di NVIDIA sono due modelli di IA di riferimento. Nemotron 3 Nano Omni 30B A3B Reasoning offre una finestra di contesto di 256K token a $0.20/$0.60 per milione di token, mentre Nemotron 3 Super 120B A12B mette a disposizione 262.1K token di contesto a $0.30/$0.80 per milione di token. Di seguito analizziamo benchmark, latenza e costi.

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NVIDIA

Nemotron 3 Nano Omni 30B A3B Reasoning

IA Multimodale Nativa

Nemotron 3 Nano Omni 30B A3B Reasoning di NVIDIA è un modello di IA progettato per la comprensione multimodale nativa di testo e immagini e l’analisi visiva dei documenti, con finestra di contesto da 256K, velocità di 105 token/s, indice di

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

IA Agentica e Strumenti Autonomi

Nemotron 3 Super 120B A12B di NVIDIA è un modello di IA progettato per i workflow agentici autonomi, il tool calling e l’automazione multi-step, con finestra di contesto da 262K, velocità di 85 token/s, indice di intelligenza di 53/100 e ta

Intelligence Index53 / 100
Input Token:

$0.30 / 1M

Output Token:

$0.80 / 1M

Context Window:

262.1K tokens

SWE-bench Verified:

51%

Differenze Chiave a Colpo d’Occhio

  • 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

Chi vince in ogni categoria?

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

Punteggi Benchmark Verificati

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

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 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

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 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

  • Finestra di contesto da 256K con capacità massima di output fino a 16K token (SWE-bench Verified 42% · GPQA Diamond 56.5%)
  • Throughput elevato di 105 token/secondo con latenza al primo token (TTFT) di soli 380 ms
  • Pesi aperti (30B (3B MoE)) 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 3 Super 120B A12B · Strengths & Key Advantages

  • Finestra di contesto da 262K con capacità massima di output fino a 33K token (SWE-bench Verified 51% · GPQA Diamond 64.5%)
  • Throughput elevato di 85 token/secondo con latenza al primo token (TTFT) di soli 460 ms
  • Pesi aperti (120B (12B MoE)) 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 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

Specifiche Tecniche

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: Risposte Rapide (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.

Verdetto

Sia Nemotron 3 Nano Omni 30B A3B Reasoning (Ideale per la comprensione multimodale nativa di testo e immagini e l’analisi visiva dei documenti, sistemi RAG aziendali e integrazioni API scalabili.) sia Nemotron 3 Super 120B A12B (Ideale per i workflow agentici autonomi, il tool calling e l’automazione multi-step, sistemi RAG aziendali e integrazioni API scalabili.) eccellono in produzione: Nemotron 3 Super 120B A12B guida nei benchmark di ragionamento e programmazione, Nemotron 3 Nano Omni 30B A3B Reasoning garantisce una generazione più rapida e Nemotron 3 Nano Omni 30B A3B Reasoning offre il miglior rapporto qualità-prezzo per carichi API elevati.

Domande Frequenti (FAQ)

Quale modello è migliore per coding e ragionamento, Nemotron 3 Nano Omni 30B A3B Reasoning o Nemotron 3 Super 120B A12B?+

Nell’indice di intelligenza composito e nei benchmark di programmazione prevale Nemotron 3 Super 120B A12B. Consulta i punteggi SWE-bench e GPQA qui sopra per tutti i dettagli.

Qual è la differenza di prezzo API tra Nemotron 3 Nano Omni 30B A3B Reasoning e Nemotron 3 Super 120B A12B?+

Nemotron 3 Nano Omni 30B A3B Reasoning costa $0.20 / $0.60 per milione di token di input/output, mentre Nemotron 3 Super 120B A12B costa $0.30 / $0.80. Nel costo combinato, Nemotron 3 Nano Omni 30B A3B Reasoning risulta più economico.

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

Nemotron 3 Nano Omni 30B A3B Reasoning supporta 256K token di contesto contro 262.1K token di Nemotron 3 Super 120B A12B, mentre Nemotron 3 Nano Omni 30B A3B Reasoning 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).