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400K 토큰의 긴 컨텍스트 이해 고급 대화 기능 OpenAI의 최신 설계

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비공개 소스 형식 라이선스 제한 내부 구조 비공개

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대규모 문서 분석 고급 AI 채팅 구현 긴 컨텍스트 처리

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OpenAI독점

OpenAI GPT-5.2

Name: OpenAI GPT-5.2
Price: 0.875 USD
Author: OpenAI

OpenAI GPT-5.2는 OpenAI가 개발한 기반 모델로, 고급 대화 기능을 갖춘 채팅에 특화된 모델입니다. 최대 400K까지의 컨텍스트 윈도우를 지원합니다.

파라미터

Undisclosed

컨텍스트

400K

라이선스

Proprietary

출시일

2025-12-11

API 가격

입력 가격 (1M 토큰당)

$0.875

출력 가격 (1M 토큰당)

과금 모드: standard

강점

・400K 토큰의 긴 컨텍스트 이해
・고급 대화 기능
・OpenAI의 최신 설계

약점

・비공개 소스 형식
・라이선스 제한
・내부 구조 비공개

활용 사례

・대규모 문서 분석
・고급 AI 채팅 구현
・긴 컨텍스트 처리

심층 분석

Release Date

December 11, 2025

Context Window

400K tokens

Max Output

128K tokens

Input Price

$1.75 / 1M tokens

Output Price

$14.00 / 1M tokens

Arena Elo (Text)

1436

39,304 votes

Arena Elo (Coding)

1486

9,063 votes

Speed

73 tok/s

Knowledge Cutoff

August 31, 2025

강점

・Strong benchmark performance: GPQA 92.4%, SWE-bench Verified 80.0%, ARC-AGI-1 86.2%
・Excellent multilingual capability (ranked #7 across all models on BenchLM)
・Strong knowledge and reasoning scores (Knowledge #6, Reasoning #12)
・Good balance of quality and cost at $1.75/$14 per 1M tokens
・256K context in Thinking mode for long-document processing with near-perfect retrieval accuracy

약점

・Agentic performance is relatively weak (ranked #29 on BenchLM agentic category)
・Higher latency than GPT-5.1 variants for interactive use cases
・Higher pricing than base GPT-5 ($1.75/$14 vs $1.25/$10)
・Struggles with FrontierMath Tier 4 (14.6%) and Toolathon (46.3%)
・Not as strong as GPT-5.2 Pro for enterprise-critical tasks

경쟁사 비교

Model	Arena	SWE	GPQA	Price
Claude Sonnet 4.5	~1420	~72%	~89%	$3/$15 per 1M tokens
Gemini 3 Pro	~1420	76.2%	~90%	$3.50/$10.50 per 1M tokens
GPT-5.1	~1400	~74%	~88%	$1.25/$10 per 1M tokens
GPT-5.2 Pro	~1450	~80%	92.4%	$10.50/$84 per 1M tokens

개요

GPT-5.2 (Thinking mode) is OpenAI's flagship reasoning model released December 11, 2025, delivering strong performance across knowledge work, coding, and long-context understanding. With Arena Elo of 1436 (1486 for coding), SWE-bench Verified at 80%, and GPQA at 92.4%, it represents the sweet spot for most professional developers. The GPT-5.2 family introduced three tiers: Instant, Thinking, and Pro.

벤치마크 및 성능

GPT-5.2 achieves strong benchmark results: GPQA Diamond 92.4% (graduate-level science reasoning), SWE-bench Verified 80.0%, ARC-AGI-1 86.2%, CharXiv Reasoning 88.7%, SWE-bench Pro 55.6%, ARC-AGI-2 52.9%, FrontierMath Tier 1-3 40.3%, and Toolathon 46.3%. On Chatbot Arena, it scores 1436 Elo overall and 1486 in coding. It produces 30% fewer response errors than GPT-5.1 Thinking and achieves near-perfect accuracy on 256K token document retrieval.

상세 비교

GPT-5.2 Thinking offers significantly better reasoning than GPT-5.1 at the same price point ($1.75/$14), with 30% fewer errors. Compared to Claude Sonnet 4.5, it has higher Arena Elo (1436 vs ~1420) and better SWE-bench scores (80% vs ~72%). It trails GPT-5.2 Pro ($10.50/$84) in accuracy for enterprise-critical tasks but offers much better cost efficiency. Gemini 3 Pro is competitive on SWE-bench (76.2%) but at a higher price point.

커뮤니티 평가

GPT-5.2 Thinking is widely regarded as the best value-for-money model in the OpenAI lineup for professional developers. The 98.7% tool-use accuracy has made it popular for AI agent pipelines. Developers praise its long-document handling capabilities and reduced hallucination rate. Some users note that agentic tasks still lag behind Claude's capabilities. The consensus is that GPT-5.2 Thinking 'hits the sweet spot' for most businesses.

활용 사례

Recommended for: multi-step reasoning and coding tasks, AI agent/SaaS pipelines (due to near-perfect tool-use accuracy), long-document analysis (up to 256K tokens in Thinking mode), professional knowledge work, structured content creation, and policy/billing accuracy in customer support. Not ideal for: ultra-low-latency applications (use GPT-5.2 Instant), maximum accuracy enterprise work (use GPT-5.2 Pro), or budget-conscious high-volume tasks (use GPT-5 or GPT-5 mini).