이 모델의 강점은 무엇인가요?

고급 추론 능력을 보유 256K 토큰의 넓은 컨텍스트 윈도우 OpenAI의 최신 설계

이 모델의 약점은 무엇인가요?

폐쇄된 라이선스 소스 코드가 공개되지 않음 외부에서 알 수 없는 내부 구조

어떤 용도에 가장 적합한가요?

복잡한 논리적 추론 긴 문서 분석 고급 문제 해결 작업

모델 목록으로

OpenAI독점

OpenAI GPT-5.2 Pro

Name: OpenAI GPT-5.2 Pro
Author: OpenAI

OpenAI GPT-5.2 Pro는 OpenAI에서 개발한 고급 추론 모델입니다. 256K 대규모 컨텍스트 윈도우를 갖춘 기초 모델로 제공되며, 복잡한 추론 작업에 최적화되어 있습니다.

파라미터

Undisclosed

컨텍스트

256K

라이선스

Proprietary

출시일

2025-12-11

API 가격

이 모델의 API 가격 정보는 현재 공개되지 않았습니다

강점

・고급 추론 능력을 보유
・256K 토큰의 넓은 컨텍스트 윈도우
・OpenAI의 최신 설계

약점

・폐쇄된 라이선스
・소스 코드가 공개되지 않음
・외부에서 알 수 없는 내부 구조

활용 사례

・복잡한 논리적 추론
・긴 문서 분석
・고급 문제 해결 작업

심층 분석

Release Date

December 10, 2025

Context Window

400K tokens (256K in Thinking mode)

Input Price

$10.50 / 1M tokens

Output Price

$84.00 / 1M tokens

Web Search

$10,000 per query

Modality

Multimodal (Text, Image, File input)

Features

Structured Outputs, Reasoning, Tools

강점

・OpenAI's most advanced GPT-5.2 model with maximum accuracy and reasoning depth
・Near-perfect tool-use accuracy (98.7%) for complex multi-step workflows
・Best-in-class for high-stakes enterprise work including financial/legal analysis
・GPQA 92.4% for graduate-level science reasoning
・Excellent for large-scale code review and security analysis

약점

・Very expensive at $10.50/$84 per 1M tokens — 6x the cost of GPT-5.2 Thinking
・Slower response times due to extensive reasoning overhead
・Costs 'scale quickly' for high-volume workloads
・Not suitable for ultra-low-latency or real-time systems
・Overkill for everyday coding and content tasks where Thinking suffices

경쟁사 비교

Model	Arena	SWE	GPQA	Price
Claude Opus 4.5	~1450	80.9%	~92%	$15/$75 per 1M tokens
Gemini 3 Pro	~1420	76.2%	~90%	$3.50/$10.50 per 1M tokens
GPT-5.2 Thinking	1436	80.0%	92.4%	$1.75/$14 per 1M tokens
GPT-5.4 Pro	~1460	~82%	~93%	$30/$180 per 1M tokens

개요

GPT-5.2 Pro is OpenAI's most advanced GPT-5.2 family model, offering maximum accuracy for enterprise-critical work at $10.50/$84 per 1M tokens. It shares the same benchmark profile as GPT-5.2 Thinking (GPQA 92.4%, SWE-bench 80%) but allocates significantly more compute to reasoning for higher reliability. It is best suited for high-stakes financial, legal, and security review where cost is secondary to accuracy.

벤치마크 및 성능

GPT-5.2 Pro shares the GPT-5.2 family benchmark profile: GPQA Diamond 92.4%, SWE-bench Verified 80.0%, ARC-AGI-1 86.2%, CharXiv Reasoning 88.7%. The Pro variant uses extended reasoning to achieve more consistent results on complex multi-step tasks. It produces fewer errors than GPT-5.2 Thinking on ambiguous or high-stakes queries. The 400K context window with 256K in Thinking mode enables near-perfect long-document retrieval.

상세 비교

GPT-5.2 Pro is 6x more expensive than GPT-5.2 Thinking ($10.50/$84 vs $1.75/$14) for marginally better accuracy on complex tasks. Compared to Claude Opus 4.5 ($15/$75), it is slightly cheaper on output tokens with comparable benchmark performance. It offers better value than GPT-5.4 Pro ($30/$180) for tasks that don't require the absolute latest model. Gemini 3 Pro ($3.50/$10.50) is significantly cheaper but trails on most benchmarks.

커뮤니티 평가

Enterprise users report high satisfaction for compliance-critical and high-stakes analytical work. Developers appreciate the near-perfect tool-use accuracy for building reliable AI agents. The main criticism is cost — at $84/1M output tokens, it is expensive for production use. Many teams use GPT-5.2 Thinking for daily work and reserve Pro for critical decisions. The consensus is that it's worth the premium only when accuracy is non-negotiable.

활용 사례

Best for: high-stakes financial analysis and audit, legal document review and compliance, security-critical code review, enterprise-grade AI agent pipelines, medical/research analysis, and complex multi-step reasoning tasks where errors are costly. NOT recommended for: everyday coding (use Thinking), content creation (use Instant), high-volume API workloads, real-time chat applications, or budget-constrained projects.