이 모델의 강점은 무엇인가요?

Advanced software development capabilities Long-context analysis up to 1 million tokens Industry-leading on key evaluation benchmarks

이 모델의 약점은 무엇인가요?

Model weights are not public Closed-source license system Incurs API usage costs

어떤 용도에 가장 적합한가요?

Advanced software engineering support Business tasks with complex specialized knowledge Ultra-long context analysis

모델 목록으로

OpenAI독점

GPT-5.4

Name: GPT-5.4
Price: 2.5 USD
Author: OpenAI

GPT-5.4 is the latest multimodal reasoning model in the GPT-5 series developed by OpenAI. It is optimized for complex knowledge work, software engineering, and long-context analysis up to 1 million tokens.

파라미터

Undisclosed

컨텍스트

라이선스

Proprietary

출시일

2026-03-05

API 가격

입력 가격 (1M 토큰당)

$2.5

출력 가격 (1M 토큰당)

$15

과금 모드: standard

강점

・Advanced software development capabilities
・Long-context analysis up to 1 million tokens
・Industry-leading on key evaluation benchmarks

약점

・Model weights are not public
・Closed-source license system
・Incurs API usage costs

활용 사례

・Advanced software engineering support
・Business tasks with complex specialized knowledge
・Ultra-long context analysis

심층 분석

Arena Elo

1467

#9 overall

SWE-Bench Verified

80.8%

vs Claude Opus 4.7: 87.6%

SWE-Bench Pro

57.7%

vs Claude Opus 4.7: 64.3%

GPQA Diamond

94.4%

near parity with frontier

Input Price

$2.50/1M

vs Claude Opus 4.7: $5/1M

Context Window

1.05M tokens

largest in GPT-5 family

강점

・Best-in-class web research (BrowseComp 89.3%)
・Strong terminal-heavy coding (Terminal-Bench 75.1%)
・Competitive pricing at $2.50/$15 per 1M tokens
・1M context window with strong retrieval

약점

・Trails Claude Opus 4.7 on agentic coding (SWE-bench Pro 57.7% vs 64.3%)
・Weaker multi-tool orchestration than Claude (MCP-Atlas 68.1% vs 77.3%)
・Computer use below Claude Opus 4.7 (OSWorld 75.0% vs 78.0%)

경쟁사 비교

Model	Arena	SWE	GPQA	Price
Claude Opus 4.7	~1500	87.6%	94.2%	$5/$25
Gemini 3.1 Pro	~1485	84.2%	94.3%	$2/$12
GPT-5.4	1467	80.8%	94.4%	$2.50/$15

개요

GPT-5.4 is OpenAI's flagship model released on March 5, 2026, positioned as a versatile frontier model for professional work. Built on the GPT-5 architecture with explicit chain-of-thought reasoning, it offers a 1.05M token context window and competitive benchmark performance across coding, reasoning, and knowledge tasks. The model's strongest category is knowledge work (#1 on BenchLM), making it particularly effective for research, analysis, and factual Q&A. It excels at web research with an 89.3% BrowseComp score and handles terminal-heavy coding well at 75.1% on Terminal-Bench 2.0. At $2.50/$15 per 1M tokens, it offers strong value compared to Claude Opus 4.7's $5/$25 pricing. However, GPT-5.4 trails Claude Opus 4.7 in agentic coding scenarios (57.7% vs 64.3% on SWE-bench Pro) and multi-tool orchestration (68.1% vs 77.3% on MCP-Atlas). For teams prioritizing web research, terminal workflows, or cost efficiency, GPT-5.4 remains the better choice.

벤치마크 및 성능

## Benchmark Scores | Benchmark | GPT-5.4 | Claude Opus 4.7 | Gemini 3.1 Pro | |-----------|---------|-----------------|----------------| | Arena Elo | 1467 | ~1500 | ~1485 | | SWE-bench Verified | 80.8% | 87.6% | 84.2% | | SWE-bench Pro | 57.7% | 64.3% | 54.2% | | GPQA Diamond | 94.4% | 94.2% | 94.3% | | Terminal-Bench 2.0 | 75.1% | 69.4% | 68.5% | | BrowseComp | 89.3% | 79.3% | 85.9% | | OSWorld-Verified | 75.0% | 78.0% | 76.5% | | MCP-Atlas | 68.1% | 77.3% | 73.9% | GPT-5.4 leads on web research and terminal coding benchmarks, while Claude Opus 4.7 dominates agentic coding and tool orchestration.

상세 비교

## GPT-5.4 vs Claude Opus 4.7 GPT-5.4 costs 50% less than Claude Opus 4.7 ($2.50/$15 vs $5/$25) and leads on web research (+10 points on BrowseComp) and terminal coding (+5.7 points on Terminal-Bench). Claude Opus 4.7 responds with superior agentic coding (6.6 points higher on SWE-bench Pro) and tool orchestration (9.2 points on MCP-Atlas). **Choose GPT-5.4** for web research, terminal-heavy work, or cost-sensitive deployments. **Choose Claude Opus 4.7** for autonomous multi-file coding and complex tool chains. ## GPT-5.4 vs Gemini 3.1 Pro Both offer similar pricing ($2.50/$15 vs $2/$12) and 1M context. Gemini 3.1 Pro edges ahead on hallucination resistance and scientific reasoning, while GPT-5.4 leads on coding benchmarks and web research.

커뮤니티 평가

GPT-5.4 received a measured reception from the developer community. The pricing at $2.50/$15 was seen as reasonable for a frontier model, and the 1.05M context window was welcomed for long-document workflows. However, the release was overshadowed by Claude Opus 4.7's launch just weeks later, which delivered superior agentic coding performance. Developers building coding agents largely migrated to Claude, while GPT-5.4 retained its user base for research, analysis, and general-purpose tasks. Enterprise adoption has been steady, particularly among teams already in the OpenAI ecosystem. The model's strength in knowledge work and web research makes it a solid choice for knowledge-intensive applications.

활용 사례

1. **Web Research & Analysis**: With 89.3% on BrowseComp, GPT-5.4 is the best model for automated web research, fact-checking, and information synthesis across multiple sources. 2. **Terminal-Heavy Development**: Terminal-Bench 2.0 score of 75.1% makes it ideal for DevOps, system administration, and command-line workflow automation. 3. **Document Analysis**: The 1.05M context window enables processing entire codebases, legal documents, or research paper collections in a single pass. 4. **Cost-Sensitive Production**: At $2.50/$15, it offers frontier-level capability at roughly half the cost of Claude Opus 4.7, making it suitable for high-volume API workloads.