Head-to-Head Model Comparison

GPT-5.4 vs GPT-5.5

Benchmarks, API Token Pricing, Context Window & Speed Comparison

GetInfoUs 연구팀 검토 완료최종 검토일: October 2026편집 정책

원하는 AI 모델 선택 및 실시간 비교

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

GPT-5.4Profile

GPT-5.5Profile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

OpenAI

GPT-5.4

자율 에이전트 및 도구 호출 특화

OpenAI의 GPT-5.4 모델은 자율 에이전트 워크플로우, 도구 호출(Tool Calling) 및 다단계 업무 자동화에 최적화된 AI 모델로, 1.1M 컨텍스트 윈도우, 초당 126 토큰의 생성 속도, 종합 지능 지수 78/100점(1M 토큰당 입력 $2.5 / 출력 $15)을 제공합니다.

Intelligence Index78 / 100

Input Token:

$2.50 / 1M

Output Token:

$15.00 / 1M

Context Window:

1.05M tokens

SWE-bench Verified:

79.2%

OpenAI

GPT-5.5

플래그십 프론티어 모델

OpenAI의 GPT-5.5 모델은 최첨단 엔터프라이즈 추론, 소프트웨어 개발 및 핵심 프로덕션 워크로드에 최적화된 AI 모델로, 1.1M 컨텍스트 윈도우, 초당 112 토큰의 생성 속도, 종합 지능 지수 84/100점(1M 토큰당 입력 $5 / 출력 $30)을 제공합니다.

Intelligence Index84 / 100

Input Token:

$5.00 / 1M

Output Token:

$30.00 / 1M

Context Window:

1.05M tokens

SWE-bench Verified:

81%

한눈에 보는 핵심 차이점

GPT-5.4 is 2.0x cheaper for API usage (input + output tokens combined).
GPT-5.4 is faster at 126 tok/s vs 112 tok/s.
GPT-5.5 leads on SWE-bench coding (81.0% vs 79.2%).

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

Feature	GPT-5.4	GPT-5.5
Intelligence Index Composite reasoning & knowledge score (0-100)	78	84
Provider	OpenAI	OpenAI
Input Price Cost per million input tokens	$2.50 / 1M	$5.00 / 1M
Output Price Cost per million output tokens	$15.00 / 1M	$30.00 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$2.17 / 1M	$4.35 / 1M
Context Window Maximum input + output tokens	1.05M tokens~1,575 A4 pages of text	1.05M tokens~1,575 A4 pages of text
Max Output Tokens Per single request	128K	128K
Throughput Speed Tokens generated per second	126 tok/s	112 tok/s
SWE-bench Verified Real-world software engineering	79.2%	81%
GPQA Diamond Graduate-level reasoning	78.6%	80%
Cached Input Price Prompt caching discount per 1M tokens	$0.25 / 1M	$0.50 / 1M

부문별 우위 모델

At-a-glance decision framework

Coding

GPT-5.5

+1.8% SWE-bench lead

Cost

GPT-5.4

2.0x cheaper monthly runtime

Speed

GPT-5.4

+13% faster generation

Context

Tied

1.05M tokens window

검증된 벤치마크 점수 비교

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

GPT-5.4GPT-5.5

SWE-bench Verified (Autonomous Coding)

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

79.2%vs81%

GPQA Diamond (Doctorate-Level Science & Math)

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

78.6%vs80%

MMLU-Pro (Multi-task Language Understanding)

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

88.6%vs89.6%

LMSYS Chatbot Arena Elo

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

1436ptsvs1465pts

Humanity's Last Exam (Frontier Expert Knowledge)

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

15.4%vs16.2%

Terminal-Bench (Agentic Coding & Terminal Use)

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

54.5%vs57.5%

SciCode (Scientific Computing)

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

49.5%vs52%

LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

77%vs78.5%

AIME (Advanced Math Competition)

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

93.8%vs94.8%

Long-Context Reasoning

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

84.5%vs87%

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

126 tok/s vs112 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-5.41.08s

GPT-5.51.18s

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

GPT-5.45.05s

GPT-5.55.64s

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-5.4 Monthly API Bill

$17.63 / month

$2.5/1M in · $15/1M out

GPT-5.5 Monthly API Bill

$35.25 / month

$5/1M in · $30/1M out

GPT-5.4 saves approximately $17.63 / month (50%) under this workload.2.0x Savings

GPT-5.4 · Strengths & Key Advantages

1.1M 컨텍스트 윈도우 및 최대 128K 출력 토큰 생성 지원 (SWE-bench Verified 79.2% · GPQA Diamond 78.6%)
초당 126 토큰의 빠른 처리 속도와 1080ms에 불과한 첫 토큰 지연 시간(TTFT)
합리적인 API 요금 체계(1M 토큰당 입력 $2.5 / 출력 $15)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

GPT-5.5 · Strengths & Key Advantages

1.1M 컨텍스트 윈도우 및 최대 128K 출력 토큰 생성 지원 (SWE-bench Verified 81% · GPQA Diamond 80%)
초당 112 토큰의 빠른 처리 속도와 1180ms에 불과한 첫 토큰 지연 시간(TTFT)
합리적인 API 요금 체계(1M 토큰당 입력 $5 / 출력 $30)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-5.4	GPT-5.5
Cost per Task Estimated USD to finish one task	$2.10	$3.90
Output Tokens / Task Tokens generated per task	62K	64K
Reasoning Tokens / Task Thinking tokens burned per task	34K	37K

기술 사양 (Specifications)

Architecture, release timeline, capabilities, and modalities.

Feature	GPT-5.4	GPT-5.5
Official API Model ID (SDK)	gpt-5-4	gpt-5-5
API Protocol	OpenAI Responses API & Chat Completions v1	OpenAI Responses API & Chat Completions v1
Release Date	2026-03	2026-04
Knowledge Cutoff	August 2025	December 2025
Architecture	Agent-ready unified reasoning model	Default frontier unified reasoning model
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 ($2.5/1M in) across full 1050K window	Flat rate ($5/1M in) across full 1050K window
Prompt Cache Policy & TTL	Automatic prefix caching at $0.25/1M (no extra cache-write fee)	Automatic prefix caching at $0.5/1M (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	Native Web Search tool + Hosted Code Interpreter & File Search RAG	Native Web Search tool + Hosted Code Interpreter & File Search RAG
Official Fine-Tuning Support	Supervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT)	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)	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	OpenAI Preparedness Framework Audited & System Card Published	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	text, vision
Output Modalities	text	text

GPT-5.4 vs GPT-5.5: 핵심 요약 문답 (FAQ)

Which is more intelligent, GPT-5.4 or GPT-5.5?

GPT-5.5 is more intelligent. It scores 84 compared with 78 on the composite Intelligence Index.

Which model is faster?

GPT-5.4 is faster, generating 126 tokens per second compared with 112 tokens per second.

Which model is cheaper to run?

GPT-5.4 is cheaper at $2.17 per 1M tokens blended, compared with $4.35 (7:2:1 cache:input:output ratio).

Which model has lower latency?

GPT-5.4 has lower latency, with a time to first token of 1.08s compared with 1.18s.

종합 평가

GPT-5.4(자율 에이전트 워크플로우, 도구 호출(Tool Calling) 및 다단계 업무 자동화, 엔터프라이즈 RAG 지식베이스 및 대규모 프로덕션 API 연동에 최적.)와 GPT-5.5(최첨단 엔터프라이즈 추론, 소프트웨어 개발 및 핵심 프로덕션 워크로드, 엔터프라이즈 RAG 지식베이스 및 대규모 프로덕션 API 연동에 최적.) 모두 뛰어난 성능을 자랑합니다. 고난도 추론과 코딩 벤치마크에서는 GPT-5.5가 앞서며, 토큰 생성 속도에서는 GPT-5.4가 빠르고, 대규모 API 운영 비용 면에서는 GPT-5.4가 더 경제적입니다.

자주 묻는 질문 (FAQ)

코딩과 복잡한 추론에는 GPT-5.4와 GPT-5.5 중 어느 모델이 더 나은가요?+

종합 지능 지수 및 코딩 벤치마크에서는 GPT-5.5가 우위를 보입니다. 상단의 SWE-bench 및 GPQA 점수를 함께 확인해 보세요.

GPT-5.4와 GPT-5.5의 API 요금 차이는 얼마인가요?+

GPT-5.4는 100만 토큰당 입력 $2.50 / 출력 $15.00이며, GPT-5.5는 입력 $5.00 / 출력 $30.00입니다. 혼합 비용 기준으로는 GPT-5.4가 더 저렴합니다.

어느 모델이 더 큰 컨텍스트 윈도우와 빠른 속도를 제공하나요?+

컨텍스트 길이는 GPT-5.4가 1.05M 토큰, GPT-5.5가 1.05M 토큰를 지원하며, 출력 속도 면에서는 GPT-5.4가 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-5.4 vs GPT-5.5

원하는 AI 모델 선택 및 실시간 비교

GPT-5.4

GPT-5.5

부문별 우위 모델

검증된 벤치마크 점수 비교

지연 시간(Latency) 및 응답 속도

실시간 API 토큰 비용 시뮬레이터

GPT-5.4 · Strengths & Key Advantages

Considerations & Trade-offs

GPT-5.5 · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

기술 사양 (Specifications)

GPT-5.4 vs GPT-5.5: 핵심 요약 문답 (FAQ)

종합 평가

자주 묻는 질문 (FAQ)

Related reading