Head-to-Head Model Comparison

Gemini 2.5 Pro vs GPT-4.5

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.

Gemini 2.5 ProProfile

GPT-4.5Profile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

Google

Gemini 2.5 Pro

Derin Akıl Yürütme Motoru

Google tarafından geliştirilen Gemini 2.5 Pro; derin mantıksal akıl yürütme, ileri matematik ve çok adımlı bilimsel analiz için tasarlanmış olup 1.0M bağlam penceresi, 95 token/sn hız, 78/100 zeka indeksi ve 1M token başına $1.25/$10 fiyatl

Intelligence Index78 / 100

Input Token:

$1.25 / 1M

Output Token:

$10.00 / 1M

Context Window:

1.05M tokens

SWE-bench Verified:

63.8%

OpenAI

GPT-4.5

Derin Akıl Yürütme Motoru

OpenAI tarafından geliştirilen GPT-4.5; derin mantıksal akıl yürütme, ileri matematik ve çok adımlı bilimsel analiz için tasarlanmış olup 128K bağlam penceresi, 45 token/sn hız, 46/100 zeka indeksi ve 1M token başına $75/$150 fiyatlandırma

Intelligence Index46 / 100

Input Token:

$75.00 / 1M

Output Token:

$150.00 / 1M

Context Window:

128K tokens

SWE-bench Verified:

42%

Bir Bakışta Temel Farklar

Gemini 2.5 Pro is 24.3x cheaper for API usage (input + output tokens combined).
Gemini 2.5 Pro has a larger context window (1M vs 128K tokens).
Gemini 2.5 Pro is faster at 95 tok/s vs 45 tok/s.
Gemini 2.5 Pro leads on SWE-bench coding (63.8% vs 42.0%).

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

Feature	Gemini 2.5 Pro	GPT-4.5
Intelligence Index Composite reasoning & knowledge score (0-100)	78	46
Provider	Google	OpenAI
Input Price Cost per million input tokens	$1.25 / 1M	$75.00 / 1M
Output Price Cost per million output tokens	$10.00 / 1M	$150.00 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$1.47 / 1M	$43.13 / 1M
Context Window Maximum input + output tokens	1.05M tokens~1,573 A4 pages of text	128K tokens~192 A4 pages of text
Max Output Tokens Per single request	66K	16K
Throughput Speed Tokens generated per second	95 tok/s	45 tok/s
SWE-bench Verified Real-world software engineering	63.8%	42%
GPQA Diamond Graduate-level reasoning	84%	66.5%
Cached Input Price Prompt caching discount per 1M tokens	$0.31 / 1M	$18.75 / 1M

Hangi Alanda Kim Kazanıyor?

At-a-glance decision framework

Coding

Gemini 2.5 Pro

+21.8% SWE-bench lead

Cost

Gemini 2.5 Pro

24.3x cheaper monthly runtime

Speed

Gemini 2.5 Pro

+111% faster generation

Context

Gemini 2.5 Pro

1.05M tokens window

Doğrulanmış Benchmark Puanları

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

Gemini 2.5 ProGPT-4.5

SWE-bench Verified (Autonomous Coding)

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

63.8%vs42%

GPQA Diamond (Doctorate-Level Science & Math)

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

84%vs66.5%

MMLU-Pro (Multi-task Language Understanding)

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

88.5%vs81.5%

LMSYS Chatbot Arena Elo

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

1420ptsvs1332pts

Humanity's Last Exam (Frontier Expert Knowledge)

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

N/Avs9.4%

Terminal-Bench (Agentic Coding & Terminal Use)

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

N/Avs25%

SciCode (Scientific Computing)

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

N/Avs34.5%

LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

N/Avs56%

AIME (Advanced Math Competition)

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

92%vs60%

Long-Context Reasoning

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

N/Avs68%

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

95 tok/s vs45 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

Gemini 2.5 Pro0.82s

GPT-4.51.60s

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

Gemini 2.5 Pro6.08s

GPT-4.512.71s

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)

Gemini 2.5 Pro Monthly API Bill

$11.34 / month

$1.25/1M in · $10/1M out

GPT-4.5 Monthly API Bill

$275.63 / month

$75/1M in · $150/1M out

Gemini 2.5 Pro saves approximately $264.29 / month (96%) under this workload.24.3x Savings

Gemini 2.5 Pro · Strengths & Key Advantages

1.0M bağlam penceresi ve yanıt başına maksimum 66K çıktı tokenı kapasitesi (SWE-bench Verified 63.8% · GPQA Diamond 84%)
Sadece 820 ms ilk token gecikmesi (TTFT) ile saniyede 95 token yüksek üretim hızı
İstem önbellekleme (Prompt Caching), araç çağırma ve yapılandırılmış JSON çıktısını destekleyen rekabetçi API ekonomisi (1M token başına $1.25/$10 fiyatlandırma)

Considerations & Trade-offs

Kapalı ağırlıklı bulut modelidir; çevrimdışı yerel sunuculara indirilerek çalıştırılamaz
Çok karmaşık akademik ve bilimsel çıkarımlarda üst düzey ağır akıl yürütme modelleri daha derin sonuçlar verebilir

GPT-4.5 · Strengths & Key Advantages

128K bağlam penceresi ve yanıt başına maksimum 16K çıktı tokenı kapasitesi (SWE-bench Verified 42% · GPQA Diamond 66.5%)
Sadece 1600 ms ilk token gecikmesi (TTFT) ile saniyede 45 token yüksek üretim hızı
İstem önbellekleme (Prompt Caching), araç çağırma ve yapılandırılmış JSON çıktısını destekleyen rekabetçi API ekonomisi (1M token başına $75/$150 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	Gemini 2.5 Pro	GPT-4.5
Cost per Task Estimated USD to finish one task	$1.45	$17.85
Output Tokens / Task Tokens generated per task	45K	55K
Reasoning Tokens / Task Thinking tokens burned per task	22K	0K

Teknik Özellikler

Architecture, release timeline, capabilities, and modalities.

Feature	Gemini 2.5 Pro	GPT-4.5
Official API Model ID (SDK)	models/gemini-2-5-pro	gpt-4-5
API Protocol	Google Gemini API (generateContent) + OpenAI-Compatible SDK	OpenAI Responses API & Chat Completions v1
Release Date	2025-03	2025-02
Knowledge Cutoff	January 2025	October 2023
Architecture	Pathways Multimodal Sparse Mixture-of-Experts with Thinking	Large dense pre-reasoning transformer
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) · 800,000 – 2,000,000 TPM
Long-Context Tier (>128K/200K)	Standard rate up to 200K tokens; 2x input/output tier above 200K tokens	Flat rate ($75/1M in) across full 128K window
Prompt Cache Policy & TTL	Implicit + Explicit Context Caching at $0.31/1M with configurable TTL	Automatic prefix caching at $18.75/1M (no extra cache-write fee)
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	Built-in Google Search Grounding + Managed Python Code Execution Sandbox	Native Web Search tool + Hosted Code Interpreter & File Search RAG
Official Fine-Tuning Support	Vertex AI Supervised Adapter Tuning & Context Distillation	Supervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT)
Multimodal Token Billing	Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) · Audio (~25–32 tokens/sec) · Video (~258–300 tokens/sec)	Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile)
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	Google DeepMind Frontier Safety Framework Verified	OpenAI Preparedness Framework Audited & System Card Published
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, audio, video	text, vision
Output Modalities	text	text

Gemini 2.5 Pro vs GPT-4.5: Hızlı Yanıtlar (SSS)

Which is more intelligent, Gemini 2.5 Pro or GPT-4.5?

Gemini 2.5 Pro is more intelligent. It scores 78 compared with 46 on the composite Intelligence Index.

Which model is faster?

Gemini 2.5 Pro is faster, generating 95 tokens per second compared with 45 tokens per second.

Which model is cheaper to run?

Gemini 2.5 Pro is cheaper at $1.47 per 1M tokens blended, compared with $43.13 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Gemini 2.5 Pro has lower latency, with a time to first token of 0.82s compared with 1.60s.

Which model has a larger context window?

Gemini 2.5 Pro has a larger context window, supporting 1.05M tokens compared with 128K tokens.

Sonuç

Hem Gemini 2.5 Pro (derin mantıksal akıl yürütme, ileri matematik ve çok adımlı bilimsel analiz, kurumsal RAG mimarileri ve ölçeklenebilir üretim API entegrasyonları için idealdir.) hem de GPT-4.5 (derin mantıksal akıl yürütme, ileri matematik ve çok adımlı bilimsel analiz, kurumsal RAG mimarileri ve ölçeklenebilir üretim API entegrasyonları için idealdir.) güçlü üretim seçenekleridir: Gemini 2.5 Pro karmaşık akıl yürütme ve kodlama testlerinde öne çıkarken, Gemini 2.5 Pro daha yüksek üretim hızı sağlar; Gemini 2.5 Pro ise yüksek hacimli API kullanımlarında daha ekonomiktir.

Sıkça Sorulan Sorular (SSS)

Kodlama ve akıl yürütme için Gemini 2.5 Pro mi yoksa GPT-4.5 mi daha iyi?+

Bileşik zeka endeksi ve yazılım testlerinde Gemini 2.5 Pro önde yer alıyor. Detaylı karşılaştırma için yukarıdaki SWE-bench ve GPQA tablolarına göz atabilirsiniz.

Gemini 2.5 Pro ve GPT-4.5 API fiyatları nasıl karşılaştırılır?+

Gemini 2.5 Pro 1M giriş/çıkış tokeni başına $1.25 / $10.00 ücretlendirilirken, GPT-4.5 $75.00 / $150.00 seviyesindedir. Karma maliyette Gemini 2.5 Pro daha avantajlıdır.

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

Gemini 2.5 Pro 1.05M token bağlam penceresi sunarken GPT-4.5 128K token kapasiteye sahiptir. Saniyedeki token üretim hızında ise Gemini 2.5 Pro 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)

Gemini 2.5 Pro vs GPT-4.5

İstediğiniz Modelleri Seçin ve Karşılaştırın

Gemini 2.5 Pro

GPT-4.5

Hangi Alanda Kim Kazanıyor?

Doğrulanmış Benchmark Puanları

Gecikme Süresi ve Yanıt Hızı

Gerçek Zamanlı Token Maliyet Simülatörü

Gemini 2.5 Pro · Strengths & Key Advantages

Considerations & Trade-offs

GPT-4.5 · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Teknik Özellikler

Gemini 2.5 Pro vs GPT-4.5: Hızlı Yanıtlar (SSS)

Sonuç

Sıkça Sorulan Sorular (SSS)

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