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

GetInfoUs araştırma ekibi tarafından incelendiSon inceleme: October 2026Yayın ilkeleri

Paylaş

İstediğiniz Modelleri Seçin ve Karşılaştırın

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

Llama 3.1 Nemotron Ultra 253BProfile

Llama 3.3 Nemotron Super 49B v1Profile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

NVIDIA

Llama 3.1 Nemotron Ultra 253B

Açık Ağırlıklı Temel Model

NVIDIA tarafından geliştirilen Llama 3.1 Nemotron Ultra 253B; özel sunucuda kendi kendine barındırma (self-hosting), ince ayar ve tam veri egemenliği için tasarlanmış olup 128K bağlam penceresi, 60 token/sn hız, 54/100 zeka indeksi ve 1M to

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

Açık Ağırlıklı Temel Model

NVIDIA tarafından geliştirilen Llama 3.3 Nemotron Super 49B v1; özel sunucuda kendi kendine barındırma (self-hosting), ince ayar ve tam veri egemenliği için tasarlanmış olup 131K bağlam penceresi, 95 token/sn hız, 46/100 zeka indeksi ve 1M

Intelligence Index46 / 100

Input Token:

$0.25 / 1M

Output Token:

$0.50 / 1M

Context Window:

131.1K tokens

SWE-bench Verified:

40%

Bir Bakışta Temel Farklar

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

Hangi Alanda Kim Kazanıyor?

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

Doğrulanmış Benchmark Puanları

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

Gecikme Süresi ve Yanıt Hızı

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

Gerçek Zamanlı Token Maliyet Simülatörü

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

128K bağlam penceresi ve yanıt başına maksimum 16K çıktı tokenı kapasitesi (SWE-bench Verified 52.8% · GPQA Diamond 66%)
Sadece 600 ms ilk token gecikmesi (TTFT) ile saniyede 60 token yüksek üretim hızı
vLLM, SGLang veya Ollama üzerinden yerel GPU sunucularında barındırılabilen açık ağırlıklı mimari (253B)

Considerations & Trade-offs

Tam hassasiyette yerel GPU çıkarımı için yeterli VRAM kapasitesine sahip donanım altyapısı gerektirir
Çok karmaşık akademik ve bilimsel çıkarımlarda üst düzey ağır akıl yürütme modelleri daha derin sonuçlar verebilir

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

131K bağlam penceresi ve yanıt başına maksimum 8K çıktı tokenı kapasitesi (SWE-bench Verified 40% · GPQA Diamond 56%)
Sadece 400 ms ilk token gecikmesi (TTFT) ile saniyede 95 token yüksek üretim hızı
vLLM, SGLang veya Ollama üzerinden yerel GPU sunucularında barındırılabilen açık ağırlıklı mimari (49B)

Considerations & Trade-offs

Tam hassasiyette yerel GPU çıkarımı için yeterli VRAM kapasitesine sahip donanım altyapısı gerektirir
Çok karmaşık akademik ve bilimsel çıkarımlarda üst düzey ağır akıl yürütme modelleri daha derin sonuçlar verebilir

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

Teknik Özellikler

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: Hızlı Yanıtlar (SSS)

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.

Sonuç

Hem Llama 3.1 Nemotron Ultra 253B (özel sunucuda kendi kendine barındırma (self-hosting), ince ayar ve tam veri egemenliği, kurumsal RAG mimarileri ve ölçeklenebilir üretim API entegrasyonları için idealdir.) hem de Llama 3.3 Nemotron Super 49B v1 (özel sunucuda kendi kendine barındırma (self-hosting), ince ayar ve tam veri egemenliği, kurumsal RAG mimarileri ve ölçeklenebilir üretim API entegrasyonları için idealdir.) güçlü üretim seçenekleridir: Llama 3.1 Nemotron Ultra 253B karmaşık akıl yürütme ve kodlama testlerinde öne çıkarken, Llama 3.3 Nemotron Super 49B v1 daha yüksek üretim hızı sağlar; Llama 3.3 Nemotron Super 49B v1 ise yüksek hacimli API kullanımlarında daha ekonomiktir.

Sıkça Sorulan Sorular (SSS)

Kodlama ve akıl yürütme için Llama 3.1 Nemotron Ultra 253B mi yoksa Llama 3.3 Nemotron Super 49B v1 mi daha iyi?+

Bileşik zeka endeksi ve yazılım testlerinde Llama 3.1 Nemotron Ultra 253B önde yer alıyor. Detaylı karşılaştırma için yukarıdaki SWE-bench ve GPQA tablolarına göz atabilirsiniz.

Llama 3.1 Nemotron Ultra 253B ve Llama 3.3 Nemotron Super 49B v1 API fiyatları nasıl karşılaştırılır?+

Llama 3.1 Nemotron Ultra 253B 1M giriş/çıkış tokeni başına $0.80 / $2.40 ücretlendirilirken, Llama 3.3 Nemotron Super 49B v1 $0.25 / $0.50 seviyesindedir. Karma maliyette Llama 3.3 Nemotron Super 49B v1 daha avantajlıdır.

Hangi modelin bağlam penceresi daha geniş ve hızı daha yüksek?+

Llama 3.1 Nemotron Ultra 253B 128K token bağlam penceresi sunarken Llama 3.3 Nemotron Super 49B v1 131.1K token kapasiteye sahiptir. Saniyedeki token üretim hızında ise Llama 3.3 Nemotron Super 49B v1 öndedir.

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

İstediğiniz Modelleri Seçin ve Karşılaştırın

Llama 3.1 Nemotron Ultra 253B

Llama 3.3 Nemotron Super 49B v1

Hangi Alanda Kim Kazanıyor?

Doğrulanmış Benchmark Puanları

Gecikme Süresi ve Yanıt Hızı

Gerçek Zamanlı Token Maliyet Simülatörü

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

Teknik Özellikler

Llama 3.1 Nemotron Ultra 253B vs Llama 3.3 Nemotron Super 49B v1: Hızlı Yanıtlar (SSS)

Sonuç

Sıkça Sorulan Sorular (SSS)

Related reading