Head-to-Head Model Comparison

GPT-5.5 Pro vs Gemini 4 Argon

Benchmarks, API Token Pricing, Context Window & Speed Comparison

GetInfoUs araştırma ekibi tarafından incelendiSon inceleme: October 2026Yayın ilkeleri

Paylaş

İstediğiniz Modelleri Seçin ve Karşılaştırın

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GPT-5.5 ProProfile

Gemini 4 ArgonProfile

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5-Model Matrix Workbench

Popular Matchups:

OpenAI

GPT-5.5 Pro

Amiral Gemisi Öncü Model

OpenAI tarafından geliştirilen GPT-5.5 Pro; öncü kurumsal akıl yürütme, yazılım geliştirme ve üretim ölçekli AI iş akışları için tasarlanmış olup 1.1M bağlam penceresi, 42 token/sn hız, 87/100 zeka indeksi ve 1M token başına $50/$300 fiyatl

Intelligence Index87 / 100

Input Token:

$50.00 / 1M

Output Token:

$300.00 / 1M

Context Window:

1.05M tokens

SWE-bench Verified:

82.6%

Google

Gemini 4 Argon

Yerel Çok Modlu Yapay Zeka

Google tarafından geliştirilen Gemini 4 Argon; yerel çok modlu metin ve görsel anlama ile karmaşık belge analizi için tasarlanmış olup 1M bağlam penceresi, 115 token/sn hız, 97/100 zeka indeksi ve 1M token başına $2/$10 fiyatlandırma sunar.

Intelligence Index97 / 100

Input Token:

$2.00 / 1M

Output Token:

$10.00 / 1M

Context Window:

1M tokens

SWE-bench Verified:

81.9%

Bir Bakışta Temel Farklar

Gemini 4 Argon is 29.0x cheaper for API usage (input + output tokens combined).
GPT-5.5 Pro has a larger context window (1M vs 1M tokens).
Gemini 4 Argon is faster at 115 tok/s vs 42 tok/s.
GPT-5.5 Pro leads on SWE-bench coding (82.6% vs 81.9%).

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

Feature	GPT-5.5 Pro	Gemini 4 Argon
Intelligence Index Composite reasoning & knowledge score (0-100)	87	97
Provider	OpenAI	Google
Input Price Cost per million input tokens	$50.00 / 1M	$2.00 / 1M
Output Price Cost per million output tokens	$300.00 / 1M	$10.00 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$43.50 / 1M	$1.47 / 1M
Context Window Maximum input + output tokens	1.05M tokens~1,575 A4 pages of text	1M tokens~1,500 A4 pages of text
Max Output Tokens Per single request	128K	1000K
Throughput Speed Tokens generated per second	42 tok/s	115 tok/s
SWE-bench Verified Real-world software engineering	82.6%	81.9%
GPQA Diamond Graduate-level reasoning	81.2%	81.5%
Cached Input Price Prompt caching discount per 1M tokens	$5.00 / 1M	$0.10 / 1M

Hangi Alanda Kim Kazanıyor?

At-a-glance decision framework

Coding

GPT-5.5 Pro

+0.7% SWE-bench lead

Cost

Gemini 4 Argon

29.0x cheaper monthly runtime

Speed

Gemini 4 Argon

+174% faster generation

Context

GPT-5.5 Pro

1.05M tokens window

Doğrulanmış Benchmark Puanları

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

GPT-5.5 ProGemini 4 Argon

SWE-bench Verified (Autonomous Coding)

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

82.6%vs81.9%

GPQA Diamond (Doctorate-Level Science & Math)

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

81.2%vs81.5%

MMLU-Pro (Multi-task Language Understanding)

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

90.2%vs90.8%

LMSYS Chatbot Arena Elo

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

1478ptsvs1525pts

Humanity's Last Exam (Frontier Expert Knowledge)

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

16.9%vs18.9%

Terminal-Bench (Agentic Coding & Terminal Use)

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

59.5%vs57.4%

SciCode (Scientific Computing)

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

53.5%vs56.4%

LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

79.6%vs80.5%

AIME (Advanced Math Competition)

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

95.4%vs94.8%

Long-Context Reasoning

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

88.4%vs96.4%

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

42 tok/s vs115 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

GPT-5.5 Pro4.80s

Gemini 4 Argon0.85s

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

GPT-5.5 Pro16.70s

Gemini 4 Argon5.20s

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)

GPT-5.5 Pro Monthly API Bill

$352.50 / month

$50/1M in · $300/1M out

Gemini 4 Argon Monthly API Bill

$12.15 / month

$2/1M in · $10/1M out

Gemini 4 Argon saves approximately $340.35 / month (97%) under this workload.29.0x Savings

GPT-5.5 Pro · Strengths & Key Advantages

1.1M bağlam penceresi ve yanıt başına maksimum 128K çıktı tokenı kapasitesi (SWE-bench Verified 82.6% · GPQA Diamond 81.2%)
Sadece 4800 ms ilk token gecikmesi (TTFT) ile saniyede 42 token yüksek üretim hızı
İstem önbellekleme (Prompt Caching), araç çağırma ve yapılandırılmış JSON çıktısını destekleyen rekabetçi API ekonomisi (1M token başına $50/$300 fiyatlandırma)

Considerations & Trade-offs

Kapalı ağırlıklı bulut modelidir; çevrimdışı yerel sunuculara indirilerek çalıştırılamaz
Yüksek hacimli üretim trafiğinde maliyetleri optimize etmek için Prompt Caching ve Batch API kullanımı önerilir

Gemini 4 Argon · Strengths & Key Advantages

1M bağlam penceresi ve yanıt başına maksimum 1M çıktı tokenı kapasitesi (SWE-bench Verified 81.9% · GPQA Diamond 81.5%)
Sadece 850 ms ilk token gecikmesi (TTFT) ile saniyede 115 token yüksek üretim hızı
İstem önbellekleme (Prompt Caching), araç çağırma ve yapılandırılmış JSON çıktısını destekleyen rekabetçi API ekonomisi (1M token başına $2/$10 fiyatlandırma)

Considerations & Trade-offs

Kapalı ağırlıklı bulut modelidir; çevrimdışı yerel sunuculara indirilerek çalıştırılamaz
Yüksek hacimli üretim trafiğinde maliyetleri optimize etmek için Prompt Caching ve Batch API kullanımı önerilir

Token Use & Task Economics

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

Metric	GPT-5.5 Pro	Gemini 4 Argon
Cost per Task Estimated USD to finish one task	$66.50	$2.45
Output Tokens / Task Tokens generated per task	78K	75K
Reasoning Tokens / Task Thinking tokens burned per task	52K	36K

Teknik Özellikler

Architecture, release timeline, capabilities, and modalities.

Feature	GPT-5.5 Pro	Gemini 4 Argon
Official API Model ID (SDK)	gpt-5-5-pro	models/gemini-4-argon
API Protocol	OpenAI Responses API & Chat Completions v1	Google Gemini API (generateContent) + OpenAI-Compatible SDK
Release Date	2026-04	2026-09
Knowledge Cutoff	December 2025	June 2026
Architecture	Maximum-accuracy unified reasoning model	Pathways Multimodal Sparse Mixture-of-Experts
Parameters	Confidential	Confidential
Enterprise Rate Limits (RPM / TPM)	10,000 – 30,000 RPM (Tier 5 Enterprise) · 4,000,000 – 10,000,000 TPM	10,000 – 30,000 RPM (Tier 5 Enterprise) · 4,000,000 – 10,000,000 TPM
Long-Context Tier (>128K/200K)	Flat rate ($50/1M in) across full 1050K window	Standard rate up to 200K tokens; 2x input/output tier above 200K tokens
Prompt Cache Policy & TTL	Automatic prefix caching at $5/1M (no extra cache-write fee)	Implicit + Explicit Context Caching at $0.1/1M with configurable TTL
Computer Use / GUI Agent	Supported (Screen coordinate grounding, browser & desktop GUI action loops)	Supported (Screen coordinate grounding, browser & desktop GUI action loops)
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	Native Web Search tool + Hosted Code Interpreter & File Search RAG	Built-in Google Search Grounding + Managed Python Code Execution Sandbox
Official Fine-Tuning Support	Supervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT)	Vertex AI Supervised Adapter Tuning & Context Distillation
Multimodal Token Billing	Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile)	Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) · Audio (~25–32 tokens/sec) · Video (~258–300 tokens/sec)
Quantization & Min GPU VRAM	Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API)	Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API)
Safety & Frontier Classification	OpenAI Preparedness Framework Audited & System Card Published	Google DeepMind Frontier Safety Framework Verified
Enterprise Compliance (ZDR/HIPAA/SOC2)	SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier	SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier
Input Modalities	text, vision	text, vision, audio, video
Output Modalities	text	text

GPT-5.5 Pro vs Gemini 4 Argon: Hızlı Yanıtlar (SSS)

Which is more intelligent, GPT-5.5 Pro or Gemini 4 Argon?

Gemini 4 Argon is more intelligent. It scores 97 compared with 87 on the composite Intelligence Index.

Which model is faster?

Gemini 4 Argon is faster, generating 115 tokens per second compared with 42 tokens per second.

Which model is cheaper to run?

Gemini 4 Argon is cheaper at $1.47 per 1M tokens blended, compared with $43.50 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Gemini 4 Argon has lower latency, with a time to first token of 0.85s compared with 4.80s.

Which model has a larger context window?

GPT-5.5 Pro has a larger context window, supporting 1.05M tokens compared with 1M tokens.

Sonuç

Hem GPT-5.5 Pro (öncü kurumsal akıl yürütme, yazılım geliştirme ve üretim ölçekli AI iş akışları, kurumsal RAG mimarileri ve ölçeklenebilir üretim API entegrasyonları için idealdir.) hem de Gemini 4 Argon (yerel çok modlu metin ve görsel anlama ile karmaşık belge analizi, kurumsal RAG mimarileri ve ölçeklenebilir üretim API entegrasyonları için idealdir.) güçlü üretim seçenekleridir: Gemini 4 Argon karmaşık akıl yürütme ve kodlama testlerinde öne çıkarken, Gemini 4 Argon daha yüksek üretim hızı sağlar; Gemini 4 Argon ise yüksek hacimli API kullanımlarında daha ekonomiktir.

Sıkça Sorulan Sorular (SSS)

Kodlama ve akıl yürütme için GPT-5.5 Pro mi yoksa Gemini 4 Argon mi daha iyi?+

Bileşik zeka endeksi ve yazılım testlerinde Gemini 4 Argon önde yer alıyor. Detaylı karşılaştırma için yukarıdaki SWE-bench ve GPQA tablolarına göz atabilirsiniz.

GPT-5.5 Pro ve Gemini 4 Argon API fiyatları nasıl karşılaştırılır?+

GPT-5.5 Pro 1M giriş/çıkış tokeni başına $50.00 / $300.00 ücretlendirilirken, Gemini 4 Argon $2.00 / $10.00 seviyesindedir. Karma maliyette Gemini 4 Argon daha avantajlıdır.

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

GPT-5.5 Pro 1.05M token bağlam penceresi sunarken Gemini 4 Argon 1M token kapasiteye sahiptir. Saniyedeki token üretim hızında ise Gemini 4 Argon 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)

GPT-5.5 Pro vs Gemini 4 Argon

İstediğiniz Modelleri Seçin ve Karşılaştırın

GPT-5.5 Pro

Gemini 4 Argon

Hangi Alanda Kim Kazanıyor?

Doğrulanmış Benchmark Puanları

Gecikme Süresi ve Yanıt Hızı

Gerçek Zamanlı Token Maliyet Simülatörü

GPT-5.5 Pro · Strengths & Key Advantages

Considerations & Trade-offs

Gemini 4 Argon · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Teknik Özellikler

GPT-5.5 Pro vs Gemini 4 Argon: Hızlı Yanıtlar (SSS)

Sonuç

Sıkça Sorulan Sorular (SSS)

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