Head-to-Head Model Comparison

GPT-5.2 Codex vs GPT-5.1 Codex Max

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-5.2 CodexProfile

GPT-5.1 Codex MaxProfile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

OpenAI

GPT-5.2 Codex

자율 에이전트 및 도구 호출 특화

OpenAI의 GPT-5.2 Codex 모델은 자율 에이전트 워크플로우, 도구 호출(Tool Calling) 및 다단계 업무 자동화에 최적화된 AI 모델로, 400K 컨텍스트 윈도우, 초당 118 토큰의 생성 속도, 종합 지능 지수 66/100점(1M 토큰당 입력 $1.75 / 출력 $14)을 제공합니다.

Intelligence Index66 / 100

Input Token:

$1.75 / 1M

Output Token:

$14.00 / 1M

Context Window:

400K tokens

SWE-bench Verified:

78.1%

OpenAI

GPT-5.1 Codex Max

플래그십 프론티어 모델

OpenAI의 GPT-5.1 Codex Max 모델은 최첨단 엔터프라이즈 추론, 소프트웨어 개발 및 핵심 프로덕션 워크로드에 최적화된 AI 모델로, 400K 컨텍스트 윈도우, 초당 95 토큰의 생성 속도, 종합 지능 지수 62/100점(1M 토큰당 입력 $1.75 / 출력 $14)을 제공합니다.

Intelligence Index62 / 100

Input Token:

$1.75 / 1M

Output Token:

$14.00 / 1M

Context Window:

400K tokens

SWE-bench Verified:

78.2%

한눈에 보는 핵심 차이점

Both models cost the same under this workload — choose on capability, not price.
GPT-5.2 Codex is faster at 118 tok/s vs 95 tok/s.
GPT-5.1 Codex Max leads on SWE-bench coding (78.2% vs 78.1%).

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

Feature	GPT-5.2 Codex	GPT-5.1 Codex Max
Intelligence Index Composite reasoning & knowledge score (0-100)	66	62
Provider	OpenAI	OpenAI
Input Price Cost per million input tokens	$1.75 / 1M	$1.75 / 1M
Output Price Cost per million output tokens	$14.00 / 1M	$14.00 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$1.87 / 1M	$1.87 / 1M
Context Window Maximum input + output tokens	400K tokens~600 A4 pages of text	400K tokens~600 A4 pages of text
Max Output Tokens Per single request	128K	128K
Throughput Speed Tokens generated per second	118 tok/s	95 tok/s
SWE-bench Verified Real-world software engineering	78.1%	78.2%
GPQA Diamond Graduate-level reasoning	78.2%	80%
Cached Input Price Prompt caching discount per 1M tokens	$0.17 / 1M	$0.17 / 1M

부문별 우위 모델

At-a-glance decision framework

Coding

GPT-5.1 Codex Max

+0.1% SWE-bench lead

Cost

Tied

Identical monthly runtime cost

Speed

GPT-5.2 Codex

+24% faster generation

Context

Tied

400K tokens window

검증된 벤치마크 점수 비교

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

GPT-5.2 CodexGPT-5.1 Codex Max

SWE-bench Verified (Autonomous Coding)

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

78.1%vs78.2%

GPQA Diamond (Doctorate-Level Science & Math)

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

78.2%vs80%

MMLU-Pro (Multi-task Language Understanding)

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

87.4%vs87.2%

LMSYS Chatbot Arena Elo

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

1398ptsvs1378pts

Humanity's Last Exam (Frontier Expert Knowledge)

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

13.8%vs13.2%

Terminal-Bench (Agentic Coding & Terminal Use)

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

53.5%vs54.5%

SciCode (Scientific Computing)

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

48.5%vs48.5%

LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

76.5%vs75.5%

AIME (Advanced Math Competition)

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

93.8%vs92.6%

Long-Context Reasoning

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

82%vs80%

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

118 tok/s vs95 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-5.2 Codex1.28s

GPT-5.1 Codex Max1.70s

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

GPT-5.2 Codex5.52s

GPT-5.1 Codex Max6.96s

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-5.2 Codex Monthly API Bill

$15.49 / month

$1.75/1M in · $14/1M out

GPT-5.1 Codex Max Monthly API Bill

$15.49 / month

$1.75/1M in · $14/1M out

These models cost the same under this workload — no savings either way.Break-even

GPT-5.2 Codex · Strengths & Key Advantages

400K 컨텍스트 윈도우 및 최대 128K 출력 토큰 생성 지원 (SWE-bench Verified 78.1% · GPQA Diamond 78.2%)
초당 118 토큰의 빠른 처리 속도와 1280ms에 불과한 첫 토큰 지연 시간(TTFT)
합리적인 API 요금 체계(1M 토큰당 입력 $1.75 / 출력 $14)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
초고난도 학술 연구 및 수학 증명 과제에서는 상위 대형 추론 특화 모델이 더 깊은 분석을 제공할 수 있습니다

GPT-5.1 Codex Max · Strengths & Key Advantages

400K 컨텍스트 윈도우 및 최대 128K 출력 토큰 생성 지원 (SWE-bench Verified 78.2% · GPQA Diamond 80%)
초당 95 토큰의 빠른 처리 속도와 1700ms에 불과한 첫 토큰 지연 시간(TTFT)
합리적인 API 요금 체계(1M 토큰당 입력 $1.75 / 출력 $14)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
초고난도 학술 연구 및 수학 증명 과제에서는 상위 대형 추론 특화 모델이 더 깊은 분석을 제공할 수 있습니다

Token Use & Task Economics

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

Metric	GPT-5.2 Codex	GPT-5.1 Codex Max
Cost per Task Estimated USD to finish one task	$2.20	$2.40
Output Tokens / Task Tokens generated per task	60K	62K
Reasoning Tokens / Task Thinking tokens burned per task	34K	36K

기술 사양 (Specifications)

Architecture, release timeline, capabilities, and modalities.

GPT-5.2 Codex vs GPT-5.1 Codex Max: 핵심 요약 문답 (FAQ)

Which is more intelligent, GPT-5.2 Codex or GPT-5.1 Codex Max?

GPT-5.2 Codex is more intelligent. It scores 66 compared with 62 on the composite Intelligence Index.

Which model is faster?

GPT-5.2 Codex is faster, generating 118 tokens per second compared with 95 tokens per second.

Which model has lower latency?

GPT-5.2 Codex has lower latency, with a time to first token of 1.28s compared with 1.70s.

종합 평가

GPT-5.2 Codex(자율 에이전트 워크플로우, 도구 호출(Tool Calling) 및 다단계 업무 자동화, 엔터프라이즈 RAG 지식베이스 및 대규모 프로덕션 API 연동에 최적.)와 GPT-5.1 Codex Max(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-5.2 Codex가 앞서며, 토큰 생성 속도에서는 GPT-5.2 Codex가 빠르고, 대규모 API 운영 비용 면에서는 GPT-5.2 Codex가 더 경제적입니다.

자주 묻는 질문 (FAQ)

코딩과 복잡한 추론에는 GPT-5.2 Codex와 GPT-5.1 Codex Max 중 어느 모델이 더 나은가요?+

종합 지능 지수 및 코딩 벤치마크에서는 GPT-5.2 Codex가 우위를 보입니다. 상단의 SWE-bench 및 GPQA 점수를 함께 확인해 보세요.

GPT-5.2 Codex와 GPT-5.1 Codex Max의 API 요금 차이는 얼마인가요?+

GPT-5.2 Codex는 100만 토큰당 입력 $1.75 / 출력 $14.00이며, GPT-5.1 Codex Max는 입력 $1.75 / 출력 $14.00입니다. 혼합 비용 기준으로는 GPT-5.2 Codex가 더 저렴합니다.

어느 모델이 더 큰 컨텍스트 윈도우와 빠른 속도를 제공하나요?+

컨텍스트 길이는 GPT-5.2 Codex가 400K 토큰, GPT-5.1 Codex Max가 400K 토큰를 지원하며, 출력 속도 면에서는 GPT-5.2 Codex가 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)

Feature	GPT-5.2 Codex	GPT-5.1 Codex Max
Official API Model ID (SDK)	gpt-5-2-codex	gpt-5-1-codex-max
API Protocol	OpenAI Responses API & Chat Completions v1	OpenAI Responses API & Chat Completions v1
Release Date	2025-12	2025-11
Knowledge Cutoff	August 2025	October 2024
Architecture	Code-specialised long-horizon reasoning model	Maximum-capability code-specialised reasoning model
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 ($1.75/1M in) across full 400K window	Flat rate ($1.75/1M in) across full 400K window
Prompt Cache Policy & TTL	Automatic prefix caching at $0.175/1M (no extra cache-write fee)	Automatic prefix caching at $0.175/1M (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-5.2 Codex vs GPT-5.1 Codex Max

원하는 AI 모델 선택 및 실시간 비교

GPT-5.2 Codex

GPT-5.1 Codex Max

부문별 우위 모델

검증된 벤치마크 점수 비교

지연 시간(Latency) 및 응답 속도

실시간 API 토큰 비용 시뮬레이터

GPT-5.2 Codex · Strengths & Key Advantages

Considerations & Trade-offs

GPT-5.1 Codex Max · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

기술 사양 (Specifications)

GPT-5.2 Codex vs GPT-5.1 Codex Max: 핵심 요약 문답 (FAQ)

종합 평가

자주 묻는 질문 (FAQ)

Related reading