GPT-5.4 Pro
GPT-5.4 Pro는 OpenAI가 개발한 멀티모달 기반 모델입니다. 1백만 토큰의 광범위한 컨텍스트 윈도우를 특징으로 합니다.
파라미터
Undisclosed
컨텍스트
1M
라이선스
Proprietary
출시일
2026-03-05
API 가격
입력 가격 (1M 토큰당)
$30
출력 가격 (1M 토큰당)
$
과금 모드: standard
강점
- ・고급 멀티모달 능력
- ・1백만 토큰 긴 컨텍스트 처리
- ・OpenAI의 최신 기반 모델
약점
- ・비공개 라이선스
- ・공개되지 않은 소스 코드
- ・사용 제한이 있는 폐쇄적 환경
활용 사례
- ・대규모 문서 분석
- ・멀티모달 데이터 처리
- ・고급 컨텍스트 활용
심층 분석
Release Date
March 5, 2026
Context Window
1M tokens (~922K input / 128K output)
Input Price
$30.00 / 1M tokens
Output Price
$180.00 / 1M tokens
Modality
Multimodal (Text, Image, File input)
Architecture
Dense, Proprietary
Hallucination Rate
33% fewer than GPT-5.2
Per OpenAI claims
강점
- ・OpenAI's most advanced model with maximum reasoning depth and accuracy
- ・Massive 1M token context window enables processing of entire codebases and lengthy documents
- ・33% fewer hallucinations than GPT-5.2, making it the most reliable for critical work
- ・Excellent for hard math, physics, statistics, and research-grade writing
- ・Supports structured outputs, reasoning tools, and response format controls
약점
- ・Extremely expensive at $30/$180 per 1M tokens, cost-prohibitive for most use cases
- ・Genuinely slow response times; not suitable for real-time or interactive applications
- ・Overkill for everyday tasks where GPT-5.4 Thinking suffices
- ・Only available on the Pro $200/mo subscription tier in ChatGPT
- ・Limited availability — Azure and OpenAI API only
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-5.4 | ~1440 | ~78% | ~91% | $2.50/$15 per 1M tokens |
| GPT-5.2 Pro | ~1450 | ~80% | 92.4% | $10.50/$84 per 1M tokens |
GPT-5.4 Pro is OpenAI's most advanced and expensive model, released March 5, 2026, designed for professional-grade work requiring maximum accuracy. It builds on GPT-5.4's unified architecture with enhanced reasoning capabilities, a 1M token context window, and 33% fewer hallucinations than GPT-5.2. It is positioned for critical documents, difficult code review, hard math/science, and research-grade output.
출처
분석 생성일: 2026-05-24