Head-to-Head Model Comparison

GPT Image 1 vs Imagen 4

Benchmarks, API Token Pricing, Context Window & Speed Comparison

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원하는 AI 모델 선택 및 실시간 비교

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

GPT Image 1Profile

Imagen 4Profile

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OpenAI

GPT Image 1

AI 이미지 생성 모델

OpenAI의 GPT Image 1 모델은 고해상도 AI 이미지 생성, 비주얼 디자인 및 정교한 타이포그래피 렌더링에 최적화된 AI 모델로, 4K 컨텍스트 윈도우, 초당 14 토큰의 생성 속도, 종합 지능 지수 41/100점(1M 토큰당 입력 $5 / 출력 $40)을 제공합니다.

Intelligence Index41 / 100

Input Token:

$5.00 / 1M

Output Token:

$40.00 / 1M

Context Window:

4.1K tokens

SWE-bench Verified:

38.8%

Google

Imagen 4

AI 이미지 생성 모델

Google의 Imagen 4 모델은 고해상도 AI 이미지 생성, 비주얼 디자인 및 정교한 타이포그래피 렌더링에 최적화된 AI 모델로, 2K 컨텍스트 윈도우, 초당 25 토큰의 생성 속도, 종합 지능 지수 82/100점(1M 토큰당 입력 $40 / 출력 $0)을 제공합니다.

Intelligence Index82 / 100

Input Token:

$40.00 / 1M

Output Token:

$0.00 / 1M

Context Window:

2K tokens

SWE-bench Verified:

N/A

한눈에 보는 핵심 차이점

GPT Image 1 is 1.4x cheaper for API usage (input + output tokens combined).
GPT Image 1 has a larger context window (4K vs 2K tokens).
Imagen 4 is faster at 25 tok/s vs 14 tok/s.

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

Feature	GPT Image 1	Imagen 4
Intelligence Index Composite reasoning & knowledge score (0-100)	41	82
Provider	OpenAI	Google
Input Price Cost per million input tokens	$5.00 / 1M	$40.00 / 1M
Output Price Cost per million output tokens	$40.00 / 1M	$0.00 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$5.00 / 1M	$8.00 / 1M
Context Window Maximum input + output tokens	4.1K tokens~6 A4 pages of text	2K tokens~3 A4 pages of text
Max Output Tokens Per single request	4K	4K
Throughput Speed Tokens generated per second	14 tok/s	25 tok/s
SWE-bench Verified Real-world software engineering	38.8%	N/A
GPQA Diamond Graduate-level reasoning	53.6%	N/A

부문별 우위 모델

At-a-glance decision framework

Coding

Evaluations ongoing

Cost

GPT Image 1

1.4x cheaper monthly runtime

Speed

Imagen 4

+79% faster generation

Context

GPT Image 1

4.1K tokens window

검증된 벤치마크 점수 비교

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

GPT Image 1Imagen 4

SWE-bench Verified (Autonomous Coding)

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

38.8%vsN/A

GPQA Diamond (Doctorate-Level Science & Math)

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

53.6%vsN/A

MMLU-Pro (Multi-task Language Understanding)

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

72.6%vsN/A

LMSYS Chatbot Arena Elo

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

1286ptsvs1390pts

Humanity's Last Exam (Frontier Expert Knowledge)

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

4.1%vsN/A

Terminal-Bench (Agentic Coding & Terminal Use)

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

18.5%vsN/A

SciCode (Scientific Computing)

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

27.3%vsN/A

LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

43.9%vsN/A

AIME (Advanced Math Competition)

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

29.7%vsN/A

Long-Context Reasoning

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

58.2%vsN/A

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

14 tok/s vs25 tok/s

지연 시간(Latency) 및 응답 속도

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 Image 18.20s

Imagen 42.00s

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

GPT Image 143.91s

Imagen 422.00s

실시간 API 토큰 비용 시뮬레이터

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 Image 1 Monthly API Bill

$43.50 / month

$5/1M in · $40/1M out

Imagen 4 Monthly API Bill

$60.00 / month

$40/1M in · $0/1M out

GPT Image 1 saves approximately $16.50 / month (28%) under this workload.1.4x Savings

GPT Image 1 · Strengths & Key Advantages

4K 컨텍스트 윈도우 및 최대 4K 출력 토큰 생성 지원 (SWE-bench Verified 38.8% · GPQA Diamond 53.6%)
초당 14 토큰의 빠른 처리 속도와 8200ms에 불과한 첫 토큰 지연 시간(TTFT)
합리적인 API 요금 체계(1M 토큰당 입력 $5 / 출력 $40)와 프롬프트 캐싱, 함수 호출 및 정형화된 JSON 출력 완벽 지원

Considerations & Trade-offs

독점 클라우드 전용 모델로 로컬 오프라인 서버에 가중치를 다운로드하여 실행할 수 없습니다
대규모 프로덕션 호출 환경에서는 비용 절감을 위해 프롬프트 캐싱과 배치 API(Batch API) 활용이 권장됩니다

Imagen 4 · Strengths & Key Advantages

2K 컨텍스트 윈도우 및 최대 4K 출력 토큰 생성 지원 (Arena Elo 1390)
초당 25 토큰의 빠른 처리 속도와 2000ms에 불과한 첫 토큰 지연 시간(TTFT)
합리적인 API 요금 체계(1M 토큰당 입력 $40 / 출력 $0)와 프롬프트 캐싱, 함수 호출 및 정형화된 JSON 출력 완벽 지원

Considerations & Trade-offs

독점 클라우드 전용 모델로 로컬 오프라인 서버에 가중치를 다운로드하여 실행할 수 없습니다
대규모 프로덕션 호출 환경에서는 비용 절감을 위해 프롬프트 캐싱과 배치 API(Batch API) 활용이 권장됩니다

Token Use & Task Economics

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

Metric	GPT Image 1	Imagen 4
Cost per Task Estimated USD to finish one task	$0.32	$0.04
Output Tokens / Task Tokens generated per task	8K	0K
Reasoning Tokens / Task Thinking tokens burned per task	0K	0K

기술 사양 (Specifications)

Architecture, release timeline, capabilities, and modalities.

Feature	GPT Image 1	Imagen 4
Official API Model ID (SDK)	gpt-image-1	models/imagen-4
API Protocol	OpenAI Responses API & Chat Completions v1	Google Gemini API (generateContent) + OpenAI-Compatible SDK
Release Date	2025-04	2025-05
Knowledge Cutoff	April 2025	March 2025
Architecture	Native multimodal image generation transformer	High-resolution multimodal image diffusion transformer
Parameters	Confidential	Confidential
Enterprise Rate Limits (RPM / TPM)	10,000 – 30,000 RPM (Tier 5 Enterprise) · 800,000 – 2,000,000 TPM	10,000 – 30,000 RPM (Tier 5 Enterprise) · 800,000 – 2,000,000 TPM
Long-Context Tier (>128K/200K)	Flat rate ($5/1M in) across full 4K window	Flat rate ($40/1M in) across full 2K window
Prompt Cache Policy & TTL	Automatic prefix caching at $0/1M (no extra cache-write fee)	Implicit + Explicit Context Caching at $0/1M with configurable TTL
Computer Use / GUI Agent	Supported (Screen coordinate grounding, browser & desktop GUI action loops)	Text-only completion (No GUI action loop)
MCP & Parallel Tool Calling	Prompt-based JSON extraction only	Prompt-based JSON extraction only
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)
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
Output Modalities	image	image

GPT Image 1 vs Imagen 4: 핵심 요약 문답 (FAQ)

Which is more intelligent, GPT Image 1 or Imagen 4?

Imagen 4 is more intelligent. It scores 82 compared with 41 on the composite Intelligence Index.

Which model is faster?

Imagen 4 is faster, generating 25 tokens per second compared with 14 tokens per second.

Which model is cheaper to run?

GPT Image 1 is cheaper at $5.00 per 1M tokens blended, compared with $8.00 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Imagen 4 has lower latency, with a time to first token of 2.00s compared with 8.20s.

Which model has a larger context window?

GPT Image 1 has a larger context window, supporting 4.1K tokens compared with 2K tokens.

종합 평가

GPT Image 1(고해상도 AI 이미지 생성, 비주얼 디자인 및 정교한 타이포그래피 렌더링, 엔터프라이즈 RAG 지식베이스 및 대규모 프로덕션 API 연동에 최적.)와 Imagen 4(고해상도 AI 이미지 생성, 비주얼 디자인 및 정교한 타이포그래피 렌더링, 엔터프라이즈 RAG 지식베이스 및 대규모 프로덕션 API 연동에 최적.) 모두 뛰어난 성능을 자랑합니다. 고난도 추론과 코딩 벤치마크에서는 Imagen 4가 앞서며, 토큰 생성 속도에서는 Imagen 4가 빠르고, 대규모 API 운영 비용 면에서는 GPT Image 1가 더 경제적입니다.

자주 묻는 질문 (FAQ)

코딩과 복잡한 추론에는 GPT Image 1와 Imagen 4 중 어느 모델이 더 나은가요?+

종합 지능 지수 및 코딩 벤치마크에서는 Imagen 4가 우위를 보입니다. 상단의 SWE-bench 및 GPQA 점수를 함께 확인해 보세요.

GPT Image 1와 Imagen 4의 API 요금 차이는 얼마인가요?+

GPT Image 1는 100만 토큰당 입력 $5.00 / 출력 $40.00이며, Imagen 4는 입력 $40.00 / 출력 $0.00입니다. 혼합 비용 기준으로는 GPT Image 1가 더 저렴합니다.

어느 모델이 더 큰 컨텍스트 윈도우와 빠른 속도를 제공하나요?+

컨텍스트 길이는 GPT Image 1가 4.1K 토큰, Imagen 4가 2K 토큰를 지원하며, 출력 속도 면에서는 Imagen 4가 더 빠릅니다.

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 Image 1 vs Imagen 4

원하는 AI 모델 선택 및 실시간 비교

GPT Image 1

Imagen 4

부문별 우위 모델

검증된 벤치마크 점수 비교

지연 시간(Latency) 및 응답 속도

실시간 API 토큰 비용 시뮬레이터

GPT Image 1 · Strengths & Key Advantages

Considerations & Trade-offs

Imagen 4 · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

기술 사양 (Specifications)

GPT Image 1 vs Imagen 4: 핵심 요약 문답 (FAQ)

종합 평가

자주 묻는 질문 (FAQ)

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