Head-to-Head Model Comparison

Llama 3.1 Nemotron Ultra 253B vs Llama 3.3 Nemotron Super 49B v1

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Revisado pela equipe de pesquisa do GetInfoUsÚltima revisão: October 2026Política editorial

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Llama 3.1 Nemotron Ultra 253BProfile

Llama 3.3 Nemotron Super 49B v1Profile

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Popular Matchups:

NVIDIA

Llama 3.1 Nemotron Ultra 253B

Modelo Base de Pesos Abertos

O Llama 3.1 Nemotron Ultra 253B da NVIDIA é um modelo de IA projetado para auto-hospedagem em infraestrutura própria, fine-tuning e soberania de dados, oferecendo janela de contexto de 128K, velocidade de 60 tokens/s, índice de inteligência

Intelligence Index54 / 100

Input Token:

$0.80 / 1M

Output Token:

$2.40 / 1M

Context Window:

128K tokens

SWE-bench Verified:

52.8%

NVIDIA

Llama 3.3 Nemotron Super 49B v1

Modelo Base de Pesos Abertos

O Llama 3.3 Nemotron Super 49B v1 da NVIDIA é um modelo de IA projetado para auto-hospedagem em infraestrutura própria, fine-tuning e soberania de dados, oferecendo janela de contexto de 131K, velocidade de 95 tokens/s, índice de inteligênc

Intelligence Index46 / 100

Input Token:

$0.25 / 1M

Output Token:

$0.50 / 1M

Context Window:

131.1K tokens

SWE-bench Verified:

40%

Principais Diferenças em Resumo

Llama 3.3 Nemotron Super 49B v1 is 3.9x cheaper for API usage (input + output tokens combined).
Llama 3.3 Nemotron Super 49B v1 has a larger context window (131K vs 128K tokens).
Llama 3.3 Nemotron Super 49B v1 is faster at 95 tok/s vs 60 tok/s.
Llama 3.1 Nemotron Ultra 253B leads on SWE-bench coding (52.8% vs 40.0%).

Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →

Feature	Llama 3.1 Nemotron Ultra 253B	Llama 3.3 Nemotron Super 49B v1
Intelligence Index Composite reasoning & knowledge score (0-100)	54	46
Provider	NVIDIA	NVIDIA
Input Price Cost per million input tokens	$0.80 / 1M	$0.25 / 1M
Output Price Cost per million output tokens	$2.40 / 1M	$0.50 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$0.54 / 1M	$0.16 / 1M
Context Window Maximum input + output tokens	128K tokens~192 A4 pages of text	131.1K tokens~197 A4 pages of text
Max Output Tokens Per single request	16K	8K
Throughput Speed Tokens generated per second	60 tok/s	95 tok/s
SWE-bench Verified Real-world software engineering	52.8%	40%
GPQA Diamond Graduate-level reasoning	66%	56%
Cached Input Price Prompt caching discount per 1M tokens	$0.20 / 1M	$0.08 / 1M

Quem vence em cada categoria?

At-a-glance decision framework

Coding

Llama 3.1 Nemotron Ultra 253B

+12.8% SWE-bench lead

Cost

Llama 3.3 Nemotron Super 49B v1

3.9x cheaper monthly runtime

Speed

Llama 3.3 Nemotron Super 49B v1

+58% faster generation

Context

Llama 3.3 Nemotron Super 49B v1

131.1K tokens window

Pontuações de Benchmarks Verificadas

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

Llama 3.1 Nemotron Ultra 253BLlama 3.3 Nemotron Super 49B v1

SWE-bench Verified (Autonomous Coding)

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

52.8%vs40%

GPQA Diamond (Doctorate-Level Science & Math)

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

66%vs56%

MMLU-Pro (Multi-task Language Understanding)

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

84%vs78%

LMSYS Chatbot Arena Elo

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

1362ptsvs1305pts

Terminal-Bench (Agentic Coding & Terminal Use)

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

46.5%vs36%

AIME (Advanced Math Competition)

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

76%vs66%

Long-Context Reasoning

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

82%vs74%

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

60 tok/s vs95 tok/s

Latência e Tempo de Resposta

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

Llama 3.1 Nemotron Ultra 253B0.60s

Llama 3.3 Nemotron Super 49B v10.40s

Est. End-to-End Response (500 tokens)TTFT + generation time

Llama 3.1 Nemotron Ultra 253B8.93s

Llama 3.3 Nemotron Super 49B v15.66s

Simulador Interativo de Custo de Tokens

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)

Llama 3.1 Nemotron Ultra 253B Monthly API Bill

$3.66 / month

$0.8/1M in · $2.4/1M out

Llama 3.3 Nemotron Super 49B v1 Monthly API Bill

$0.95 / month

$0.25/1M in · $0.5/1M out

Llama 3.3 Nemotron Super 49B v1 saves approximately $2.71 / month (74%) under this workload.3.9x Savings

Llama 3.1 Nemotron Ultra 253B · Strengths & Key Advantages

Janela de contexto de 128K com limite máximo de saída de 16K tokens (SWE-bench Verified 52.8% · GPQA Diamond 66%)
Taxa de transferência rápida de 60 tokens/segundo com latência inicial (TTFT) de 600 ms
Pesos abertos (253B) para auto-hospedagem local ou em nuvem privada via vLLM, SGLang ou Ollama

Considerations & Trade-offs

Requer servidores GPU com memória VRAM adequada para execução local em precisão total
Em derivações científicas extremas, modelos pesados dedicados exclusivamente ao raciocínio oferecem maior profundidade

Llama 3.3 Nemotron Super 49B v1 · Strengths & Key Advantages

Janela de contexto de 131K com limite máximo de saída de 8K tokens (SWE-bench Verified 40% · GPQA Diamond 56%)
Taxa de transferência rápida de 95 tokens/segundo com latência inicial (TTFT) de 400 ms
Pesos abertos (49B) para auto-hospedagem local ou em nuvem privada via vLLM, SGLang ou Ollama

Considerations & Trade-offs

Requer servidores GPU com memória VRAM adequada para execução local em precisão total
Em derivações científicas extremas, modelos pesados dedicados exclusivamente ao raciocínio oferecem maior profundidade

Token Use & Task Economics

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

Metric	Llama 3.1 Nemotron Ultra 253B	Llama 3.3 Nemotron Super 49B v1
Cost per Task Estimated USD to finish one task	$0.65	$0.22
Output Tokens / Task Tokens generated per task	42K	30K
Reasoning Tokens / Task Thinking tokens burned per task	20K	12K

Especificações Técnicas

Architecture, release timeline, capabilities, and modalities.

Feature	Llama 3.1 Nemotron Ultra 253B	Llama 3.3 Nemotron Super 49B v1
Official API Model ID (SDK)	llama-3-1-nemotron-ultra-253b	llama-3-3-nemotron-super-49b-v1
API Protocol	OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI	OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI
Release Date	2025-04	2025-04
Knowledge Cutoff	December 2024	January 2025
Architecture	High-Throughput Aligned Frontier MoE	Compact High-Density Transformer
Parameters	253B	49B
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 ($0.8/1M in) across full 128K window	Flat rate ($0.25/1M in) across full 131K window
Prompt Cache Policy & TTL	Cached input at $0.2/1M tokens	Cached input at $0.08/1M tokens
Computer Use / GUI Agent	API / 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 Calling	Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema	Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema
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) · 157 GB VRAM (4-bit Quantized) · 544 GB VRAM (Native BF16)	BF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0) · 30 GB VRAM (4-bit Quantized) · 105 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

Llama 3.1 Nemotron Ultra 253B vs Llama 3.3 Nemotron Super 49B v1: Respostas Rápidas (FAQ)

Which is more intelligent, Llama 3.1 Nemotron Ultra 253B or Llama 3.3 Nemotron Super 49B v1?

Llama 3.1 Nemotron Ultra 253B is more intelligent. It scores 54 compared with 46 on the composite Intelligence Index.

Which model is faster?

Llama 3.3 Nemotron Super 49B v1 is faster, generating 95 tokens per second compared with 60 tokens per second.

Which model is cheaper to run?

Llama 3.3 Nemotron Super 49B v1 is cheaper at $0.16 per 1M tokens blended, compared with $0.54 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Llama 3.3 Nemotron Super 49B v1 has lower latency, with a time to first token of 0.40s compared with 0.60s.

Which model has a larger context window?

Llama 3.3 Nemotron Super 49B v1 has a larger context window, supporting 131.1K tokens compared with 128K tokens.

Veredito

Tanto Llama 3.1 Nemotron Ultra 253B (Indicado para auto-hospedagem em infraestrutura própria, fine-tuning e soberania de dados, arquiteturas RAG corporativas e integração escalável via API.) quanto Llama 3.3 Nemotron Super 49B v1 (Indicado para auto-hospedagem em infraestrutura própria, fine-tuning e soberania de dados, arquiteturas RAG corporativas e integração escalável via API.) entregam excelente desempenho: Llama 3.1 Nemotron Ultra 253B lidera em inteligência geral e programação, Llama 3.3 Nemotron Super 49B v1 oferece geração mais rápida e Llama 3.3 Nemotron Super 49B v1 apresenta o melhor custo-benefício em produção.

Perguntas Frequentes (FAQ)

Qual é melhor para programação e raciocínio, Llama 3.1 Nemotron Ultra 253B ou Llama 3.3 Nemotron Super 49B v1?+

Nas avaliações de inteligência e código, Llama 3.1 Nemotron Ultra 253B leva vantagem. Confira os gráficos SWE-bench e GPQA acima para detalhes.

Qual modelo tem a API mais barata, Llama 3.1 Nemotron Ultra 253B ou Llama 3.3 Nemotron Super 49B v1?+

O Llama 3.1 Nemotron Ultra 253B custa $0.80 / $2.40 por 1M de tokens (entrada/saída) e o Llama 3.3 Nemotron Super 49B v1 custa $0.25 / $0.50. No custo combinado, Llama 3.3 Nemotron Super 49B v1 é mais econômico.

Qual modelo possui maior janela de contexto e velocidade?+

O Llama 3.1 Nemotron Ultra 253B suporta 128K tokens de contexto contra 131.1K tokens do Llama 3.3 Nemotron Super 49B v1, enquanto Llama 3.3 Nemotron Super 49B v1 entrega maior velocidade de geração.

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)

Llama 3.1 Nemotron Ultra 253B vs Llama 3.3 Nemotron Super 49B v1

Troque e Compare Qualquer Modelo

Llama 3.1 Nemotron Ultra 253B

Llama 3.3 Nemotron Super 49B v1

Quem vence em cada categoria?

Pontuações de Benchmarks Verificadas

Latência e Tempo de Resposta

Simulador Interativo de Custo de Tokens

Llama 3.1 Nemotron Ultra 253B · Strengths & Key Advantages

Considerations & Trade-offs

Llama 3.3 Nemotron Super 49B v1 · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Especificações Técnicas

Llama 3.1 Nemotron Ultra 253B vs Llama 3.3 Nemotron Super 49B v1: Respostas Rápidas (FAQ)

Veredito

Perguntas Frequentes (FAQ)

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