Head-to-Head Model Comparison

Nemotron 3 Ultra 550B A55B vs GPT-6 Sol

Benchmarks, API Token Pricing, Context Window & Speed Comparison

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Compare Nemotron 3 Ultra 550B A55B by NVIDIA against GPT-6 Sol by OpenAI across real-world coding, reasoning, token economics, and latency.

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Popular Matchups:
NVIDIA

Nemotron 3 Ultra 550B A55B

Açık Ağırlıklı Model

NVIDIA tarafından geliştirilen Nemotron 3 Ultra 550B A55B, 1M token bağlam penceresi ve 1M girdi başına $1, 1M çıktı başına $3 API fiyatlandırmasıyla yazılım geliştirme, analiz ve kurumsal otomasyon için tasarlanmıştır.

Intelligence Index60 / 100
Input Token:

$1.00 / 1M

Output Token:

$3.00 / 1M

Context Window:

1M tokens

SWE-bench Verified:

64.5%

OpenAI

GPT-6 Sol

Derin Akıl Yürütme Modeli

OpenAI tarafından geliştirilen GPT-6 Sol, 1M token bağlam penceresi ve 1M girdi başına $2.0, 1M çıktı başına $10.0 API fiyatlandırmasıyla yazılım geliştirme, analiz ve kurumsal otomasyon için tasarlanmıştır.

Intelligence Index93 / 100
Input Token:

$2.00 / 1M

Output Token:

$10.00 / 1M

Context Window:

1M tokens

SWE-bench Verified:

82.1%

Bir Bakışta Temel Farklar

  • Nemotron 3 Ultra 550B A55B is 2.7x cheaper for API usage (input + output tokens combined).
  • GPT-6 Sol is faster at 116 tok/s vs 65 tok/s.
  • GPT-6 Sol leads on SWE-bench coding (82.1% vs 64.5%).
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureNemotron 3 Ultra 550B A55BGPT-6 Sol
Intelligence Index
Composite reasoning & knowledge score (0-100)
6093
Provider
NVIDIAOpenAI
Input Price
Cost per million input tokens
$1.00 / 1M$2.00 / 1M
Output Price
Cost per million output tokens
$3.00 / 1M$10.00 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$0.68 / 1M$1.47 / 1M
Context Window
Maximum input + output tokens
1M tokens~1,500 A4 pages of text1M tokens~1,500 A4 pages of text
Max Output Tokens
Per single request
66K128K
Throughput Speed
Tokens generated per second
65 tok/s116 tok/s
SWE-bench Verified
Real-world software engineering
64.5%82.1%
GPQA Diamond
Graduate-level reasoning
76%80.6%
Cached Input Price
Prompt caching discount per 1M tokens
$0.25 / 1M$0.10 / 1M

Hangi Alanda Kim Kazanıyor?

At-a-glance decision framework
Coding
GPT-6 Sol
+17.6% SWE-bench lead
Cost
Nemotron 3 Ultra 550B A55B
2.7x cheaper monthly runtime
Speed
GPT-6 Sol
+78% faster generation
Context
Tied
1M tokens window

Doğrulanmış Benchmark Puanları

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

Nemotron 3 Ultra 550B A55BGPT-6 Sol
SWE-bench Verified (Autonomous Coding)

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

64.5%vs82.1%
GPQA Diamond (Doctorate-Level Science & Math)

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

76%vs80.6%
MMLU-Pro (Multi-task Language Understanding)

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

87.5%vs89.8%
LMSYS Chatbot Arena Elo

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

1425ptsvs1516pts
Humanity's Last Exam (Frontier Expert Knowledge)

Extremely difficult, closed-ended questions spanning the frontier of human expert knowledge.

N/Avs18%
Terminal-Bench (Agentic Coding & Terminal Use)

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

53%vs63.2%
SciCode (Scientific Computing)

Research-grade coding problems drawn from real scientific and numerical workloads.

N/Avs54.5%
LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

N/Avs79.5%
AIME (Advanced Math Competition)

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

86%vs93.4%
Long-Context Reasoning

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

89%vs90.8%
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

65 tok/s vs116 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
Nemotron 3 Ultra 550B A55B0.62s
GPT-6 Sol1.16s
Est. End-to-End Response (500 tokens)TTFT + generation time
Nemotron 3 Ultra 550B A55B8.31s
GPT-6 Sol5.47s

Gerçek Zamanlı Token Maliyet Simülatörü

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 Ultra 550B A55B Monthly API Bill
$4.58 / month
$1/1M in · $3/1M out
GPT-6 Sol Monthly API Bill
$12.15 / month
$2/1M in · $10/1M out
Nemotron 3 Ultra 550B A55B saves approximately $7.58 / month (62%) under this workload.2.7x Savings

Nemotron 3 Ultra 550B A55B · Strengths & Key Advantages

  • NVIDIA imzalı gelişmiş Colossal Sparse MoE (550B Total / 55B Active) mimarisi ve 1M token bağlam kapasitesi
  • Dengeli API maliyeti ($1/1M girdi, $3/1M çıktı) ve yüksek yanıt hızı
  • Kod üretimi, mantıksal çıkarım ve çok dilli görevlerde güçlü kıyaslama (benchmark) sonuçları
Considerations & Trade-offs
  • Çok uzun bağlamlı sorgularda token maliyetlerinin dikkatli yönetilmesi gerekir
  • Alan bazlı özel iş akışlarında en yüksek verim için doğru istem (prompt) tasarımı önerilir

GPT-6 Sol · Strengths & Key Advantages

  • OpenAI imzalı gelişmiş Cost-efficient frontier unified reasoning model mimarisi ve 1M token bağlam kapasitesi
  • Dengeli API maliyeti ($2.0/1M girdi, $10.0/1M çıktı) ve yüksek yanıt hızı
  • Kod üretimi, mantıksal çıkarım ve çok dilli görevlerde güçlü kıyaslama (benchmark) sonuçları
Considerations & Trade-offs
  • Çok uzun bağlamlı sorgularda token maliyetlerinin dikkatli yönetilmesi gerekir
  • Alan bazlı özel iş akışlarında en yüksek verim için doğru istem (prompt) tasarımı önerilir

Token Use & Task Economics

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

MetricNemotron 3 Ultra 550B A55BGPT-6 Sol
Cost per Task
Estimated USD to finish one task
$0.85$2.00
Output Tokens / Task
Tokens generated per task
48K62K
Reasoning Tokens / Task
Thinking tokens burned per task
24K36K

Teknik Özellikler

Architecture, release timeline, capabilities, and modalities.

FeatureNemotron 3 Ultra 550B A55BGPT-6 Sol
Official API Model ID (SDK)nemotron-3-ultra-550b-a55bgpt-6-sol
API ProtocolOpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGIOpenAI Responses API & Chat Completions v1
Release Date2026-062026-09
Knowledge CutoffFebruary 2026April 2026
ArchitectureColossal Sparse MoE (550B Total / 55B Active)Cost-efficient frontier unified reasoning model
Parameters550B (55B active MoE)Confidential
Enterprise Rate Limits (RPM / TPM)Unlimited (Hardware-bound on self-hosted GPU) / 10,000 RPM Cloud · Unlimited local throughput / 10M+ TPM Managed Cloud10,000 – 30,000 RPM (Tier 5 Enterprise) · 4,000,000 – 10,000,000 TPM
Long-Context Tier (>128K/200K)Flat rate ($1/1M in) across full 1000K windowFlat rate ($2/1M in) across full 1000K window
Prompt Cache Policy & TTLCached input at $0.25/1M tokensAutomatic prefix caching at $0.1/1M (no extra cache-write fee)
Computer Use / GUI AgentAPI / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)Supported (Screen coordinate grounding, browser & desktop GUI action loops)
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 toolsNative Web Search tool + Hosted Code Interpreter & File Search RAG
Official Fine-Tuning SupportFull Weights SFT, LoRA, QLoRA, DPO & GRPO RL (Unsloth / Axolotl / Llama-Factory)Supervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT)
Multimodal Token BillingText BPE (~4 chars/token)Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile)
Quantization & Min GPU VRAMBF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0) · 341 GB VRAM (4-bit Quantized) · 1183 GB VRAM (Native BF16)Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API)
Safety & Frontier ClassificationOpen-Weights System Card + Customizable Guardrail Layer (Llama Guard / ShieldGemma)OpenAI Preparedness Framework Audited & System Card Published
Enterprise Compliance (ZDR/HIPAA/SOC2)100% Air-Gapped On-Premises / Private VPC · Full HIPAA, GDPR & SOC2 ControlSOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier
Input Modalitiestexttext, vision
Output Modalitiestexttext

Nemotron 3 Ultra 550B A55B vs GPT-6 Sol: Hızlı Yanıtlar (SSS)

Which is more intelligent, Nemotron 3 Ultra 550B A55B or GPT-6 Sol?

GPT-6 Sol is more intelligent. It scores 93 compared with 60 on the composite Intelligence Index.

Which model is faster?

GPT-6 Sol is faster, generating 116 tokens per second compared with 65 tokens per second.

Which model is cheaper to run?

Nemotron 3 Ultra 550B A55B is cheaper at $0.68 per 1M tokens blended, compared with $1.47 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Nemotron 3 Ultra 550B A55B has lower latency, with a time to first token of 0.62s compared with 1.16s.

Sonuç

Choose Nemotron 3 Ultra 550B A55B for kurumsal otomasyon, yazılım mühendisliği, otonom yz ajanları ve nvidia tabanlı üretim sistemleri, or choose GPT-6 Sol for kurumsal otomasyon, yazılım mühendisliği, otonom yz ajanları ve openai tabanlı üretim sistemleri.

Sıkça Sorulan Sorular (SSS)

Which is cheaper: Nemotron 3 Ultra 550B A55B or GPT-6 Sol?+

Nemotron 3 Ultra 550B A55B costs $1/1M input and $3/1M output tokens, while GPT-6 Sol costs $2/1M input and $10/1M output tokens.

Which model has a larger context window: Nemotron 3 Ultra 550B A55B or GPT-6 Sol?+

Nemotron 3 Ultra 550B A55B supports 1M tokens whereas GPT-6 Sol supports 1M tokens.

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.

Resmi kaynaklar: NVIDIA & OpenAI Official Documentation