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openai의 파비콘

OpenAI: GPT-5.4

openai/gpt-5.4

비교

GPT-5.4 is OpenAI’s latest frontier model, unifying the Codex and GPT lines into a single system. It features a 1M+ token context window (922K input, 128K output) with support for text and image inputs, enabling high-context reasoning, coding, and multimodal analysis within the same workflow.

The model delivers improved performance in coding, document understanding, tool use, and instruction following. It is designed as a strong default for both general-purpose tasks and software engineering, capable of generating production-quality code, synthesizing information across multiple sources, and executing complex multi-step workflows with fewer iterations and greater token efficiency.

모달리티
입력 / 출력 가격
US$2.50 / US$151M당
컨텍스트
1.1M
출시일
2026년 3월 5일
비교
제공업체요금성능가동 시간벤치마크앱활동문서자주 묻는 질문탐색

제공업체

여러 회사가 동일한 모델을 호스팅합니다. OpenRouter는 선택한 라우팅 모드인 Balanced(가격 + 속도), Nitro(가장 빠름), Floor(가장 저렴함)에 따라 해당 회사 중 한 곳으로 요청을 라우팅합니다.

요금

고객이 이 모델에 실제로 지불하는 평균 가격을 제공업체가 게시한 가격과 나란히 표시합니다. 캐싱과 할인으로 인해 실제 지불 가격은 정가보다 훨씬 낮은 경우가 많습니다.

성능

처리량은 모델의 출력 속도입니다(초당 토큰 수 — 높을수록 좋습니다). 지연 시간은 전체 왕복 시간입니다(낮을수록 좋습니다). TTFT는 첫 토큰까지 걸리는 시간, 즉 출력이 나타나기까지 걸리는 시간입니다(낮을수록 좋습니다).

가동 시간

가동 시간은 지난 3일 동안 하나 이상의 제공업체가 요청에 응답한 시간의 비율입니다. 가용성은 추론이 성공적으로 제공된 시간의 비율입니다. OpenRouter는 지속적으로 모니터링하며 제공업체가 오류를 반환하면 차선의 제공업체를 사용합니다.

벤치마크

표준화된 평가 점수와 공통 벤치마크 프롬프트에 대한 이 모델 자체의 출력입니다. 백분율이 높을수록 좋으며, 각 순위는 해당 출처에서 평가한 모델 중 이 모델의 위치를 보여 줍니다.

벤치마크 점수 요약: OpenAI: GPT-5.4 (Artificial Analysis, Design Arena 및 Vals AI)
출처벤치마크점수
Artificial AnalysisGPT-5.4 (Non-reasoning) GPQA Diamond74.8%
Artificial AnalysisGPT-5.4 (Non-reasoning) HLE11.3%
Artificial AnalysisGPT-5.4 (Non-reasoning) IFBench48.4%
Artificial AnalysisGPT-5.4 (Non-reasoning) τ²-Bench Telecom36.0%
Artificial AnalysisGPT-5.4 (Non-reasoning) AA-LCR58.3%
Artificial AnalysisGPT-5.4 (Non-reasoning) CritPt0.6%
Artificial AnalysisGPT-5.4 (Non-reasoning) Terminal-Bench Hard37.9%
Artificial AnalysisGPT-5.4 (Xhigh) Coding Index71.1
Artificial AnalysisGPT-5.4 (Xhigh) GPQA Diamond92.0%
Artificial AnalysisGPT-5.4 (Xhigh) HLE43.7%
Artificial AnalysisGPT-5.4 (Xhigh) IFBench73.9%
Artificial AnalysisGPT-5.4 (Xhigh) τ²-Bench Telecom87.1%
Artificial AnalysisGPT-5.4 (Xhigh) AA-LCR82.0%
Artificial AnalysisGPT-5.4 (Xhigh) τ-Bench Banking39.6%
Artificial AnalysisGPT-5.4 (Xhigh) GDPval-AA37.8%
Artificial AnalysisGPT-5.4 (Xhigh) CritPt23.4%
Artificial AnalysisGPT-5.4 (Xhigh) Terminal-Bench Hard57.6%
Artificial AnalysisGPT-5.4 (Xhigh) Terminal-Bench 2.178.3%
Artificial AnalysisGPT-5.4 (Low) GPQA Diamond87.1%
Artificial AnalysisGPT-5.4 (Low) HLE30.8%
Artificial AnalysisGPT-5.4 (Low) IFBench65.9%
Artificial AnalysisGPT-5.4 (Low) τ²-Bench Telecom74.6%
Artificial AnalysisGPT-5.4 (Low) AA-LCR76.7%
Artificial AnalysisGPT-5.4 (Low) CritPt7.4%
Artificial AnalysisGPT-5.4 (Low) Terminal-Bench Hard43.2%
Design ArenaGPT-5.4 (Medium) Models Arena 3D Elo1099
Design ArenaGPT-5.4 (Medium) Models Arena Asciiart Elo1196
Design ArenaGPT-5.4 (Medium) Models Arena Code Categories Elo1208
Design ArenaGPT-5.4 (Medium) Models Arena Data Visualization Elo1235
Design ArenaGPT-5.4 (Medium) Models Arena Game Development Elo1237
Design ArenaGPT-5.4 (Medium) Models Arena SVG Elo1191
Design ArenaGPT-5.4 (Medium) Models Arena UI Component Elo1234
Design ArenaGPT-5.4 (Medium) Models Arena Website Elo1215
Vals AIGPT 5.4 (xhigh) AIME96.7%
Vals AIGPT 5.4 (xhigh) CaseLaw v263.8%
Vals AIGPT 5.4 (xhigh) Code Migration35.0%
Vals AIGPT 5.4 (xhigh) CorpFin v265.3%
Vals AIGPT 5.4 (xhigh) Finance Agent v1.157.2%
Vals AIGPT 5.4 (xhigh) GPQA Diamond91.7%
Vals AIGPT 5.4 (xhigh) Harvey's Legal Agent Benchmark v10.0%
Vals AIGPT 5.4 (xhigh) IOI v167.8%
Vals AIGPT 5.4 (xhigh) LiveCodeBench84.1%
Vals AIGPT 5.4 (xhigh) LegalBench86.0%
Vals AIGPT 5.4 (xhigh) MedCode41.3%
Vals AIGPT 5.4 (xhigh) MedQA96.1%
Vals AIGPT 5.4 (xhigh) MedScribe77.5%
Vals AIGPT 5.4 (xhigh) MMLU Pro87.5%
Vals AIGPT 5.4 (xhigh) MMMU Pro87.5%
Vals AIGPT 5.4 (xhigh) MortgageTax68.3%
Vals AIGPT 5.4 (xhigh) ProgramBench0.0%
Vals AIGPT 5.4 (xhigh) ProofBench v156.0%
Vals AIGPT 5.4 (xhigh) SAGE v143.3%
Vals AIGPT 5.4 (xhigh) SkillsBench51.7%
Vals AIGPT 5.4 (xhigh) SWE-bench78.2%
Vals AIGPT 5.4 (xhigh) TaxEval v274.0%
Vals AIGPT 5.4 (xhigh) Terminal-Bench 2.058.4%
Vals AIGPT 5.4 (xhigh) Vals Index66.1%
Vals AIGPT 5.4 (xhigh) Vals Multimodal Index65.2%
Vals AIGPT 5.4 (xhigh) Vibe Code Bench v1.167.4%

앱

이 모델에 가장 많은 트래픽을 보내는 공개 앱입니다. 실제 프로덕션 워크로드의 모습을 보여주는 유용한 지표이자 이 모델이 어떤 사용 사례에 가장 적합한지 알려주는 단서입니다.

활동

시간에 따른 이 모델의 토큰 사용량 및 요청 트래픽.

API

이 모델을 호출하는 데 바로 사용할 수 있는 코드입니다. OpenRouter의 API는 OpenAI와 호환되므로 대부분의 SDK는 기본 URL만 바꾸면 작동합니다. 모델 간에 달라지는 것은 아래 모델 슬러그뿐입니다.

EU 역내 라우팅을 통해 사용 가능

OpenAI: GPT-5.4은 EU 역내 라우팅을 통해 사용할 수 있습니다. eu.openrouter.ai로 전송된 요청은 EU에서 복호화되며 유럽(EU/EEA, 영국 및 스위스)의 공유 제공업체 엔드포인트로만 라우팅됩니다.

유럽의 제공업체
Azure
유럽 가격
  • Azure: 입력 US$2.75/M tokens, 출력 US$16.50/M tokens
기본 URL
https://eu.openrouter.ai/api/v1
요금제
Business 또는 Enterprise가 필요합니다. Business에서는 계약이나 월 최소 사용액 없이 셀프서비스로 이용할 수 있습니다. EU 역내 라우팅을 위한 OpenRouter Business

실패 시 차단되며, 유럽 내에서 사용 가능한 공유 제공업체 엔드포인트가 없으면 요청이 해당 지역을 벗어나는 대신 오류가 발생합니다. 자체 BYOK 키로 처리되는 요청은 사용자가 제어하는 배포 지역으로 전송됩니다. 리전 내 라우팅 문서

문서

OpenRouter에서 OpenAI: GPT-5.4을 활용해 개발하기 위한 가이드, 쿡북, 블로그 게시물 및 도구입니다.

  • GPT-5.4 Migration Guide쿡북

더 많은 모델 탐색

비전 기능을 갖춘 AI 모델: 이미지 이해를 위한 멀티모달 LLM컬렉션AI 모델 순위순위
지연 시간 / 처리량
US$2.50US$15.00US$0.2501.02s55 tps
100.00%
US$2.50US$15.00US$0.2501.29s40 tps
99.93%
Standard 라우팅에서 사용되지 않음:이 엔드포인트가 사용되지 않는 이유
Flex
US$1.25US$7.50US$0.125----
45.87%
US$2.75US$16.50US$0.2750.85s61 tps
100.00%
US$2.75US$16.50US$0.2750.68s78 tps
100.00%
US$2.75US$16.50US$0.2751.30s81 tps
100.00%
Fast
US$5.00US$30.00US$0.500----
100.00%
처리량
81토큰/초

P50, 제공업체 중 최고

지연 시간
0.68초

P50, 최상의 제공업체

AutoExacto 벤치마크
TAU-BenchOpenAI74.7%
가동 시간 (3일)모델에 연결할 수 있었습니다. 요청이 제공업체로 라우팅되었습니다.
100.00%
가용성(3일)모델이 제공업체 중 한 곳에서 추론 결과를 반환했습니다. 오류와 빈 응답은 실패로 집계됩니다.
99.79%

지난 3일간 가용성

최근 72시간
가용성 99.79%
3일 전2일 전어제현재

지난 24시간 동안의 가용성

OpenRouter Availability
99.71%
Without Routing
97.93%

업스트림 제공업체에서 오류가 발생하면 요청 필터가 허용하는 경우 정상 상태인 다른 제공업체로 라우팅하여 복구할 수 있습니다. 제공업체별 가동 시간 데이터에 프로그래밍 방식으로 액세스할 때 사용하는 API는 엔드포인트 API입니다. 자세히 알아볼 수 있는 관련 옵션은 부하 분산 및 제공업체 라우팅 옵션입니다.

1.
https://crm.sotaservers.cloud/의 파비콘
Lumea CRM
신규
10.9B토큰
2.
https://nousresearch.com의 파비콘
Hermes Agent
Hermes Agent is an open-source, self-improving AI agent by Nous Research that runs persistently with memory across sessions, and builds reusable skills from experience. It comes with 40+ built-in tools, including web search, browser automation, and vision, plus scheduled automations and subagents.
9.44B토큰
3.
https://openai.com/codex의 파비콘
Codex
A coding agent that helps you build and ship with AI
6.95B토큰
4.
https://www.tradingview.com/의 파비콘
Trading View
신규
5B토큰
5.
https://openclaw.ai/의 파비콘
OpenClaw
OpenClaw is an open-source AI agent that connects to your messaging apps and takes real actions on your behalf, from running commands and browsing the web to managing files and sending emails.
3.29B토큰

자주 묻는 질문

GPT-5.4 is OpenAI’s latest frontier model, unifying the Codex and GPT lines into a single system. It features a 1M+ token context window (922K input, 128K output) with support for text and image inputs, enabling high-context reasoning, coding, and multimodal analysis within the same workflow.

OpenRouter의 GPT-5.4 문서에는 GPT-5.4 Migration Guide 쿡북이 포함되어 있습니다. 빠른 시작에서는 API 키와 첫 요청을 다루며, API 참조에는 모든 매개변수가 나열되어 있습니다.

GPT-5.4의 비용은 US$2.50/M 입력 토큰 및 US$15.00/백만 출력 토큰, Cache Read: US$0.25/M tokens에는 별도 요금 적용입니다.

GPT-5.4의 컨텍스트 윈도우는 1,050,000토큰입니다. 최대 128,000개의 완성 토큰을 지원합니다.

예. GPT-5.4은(는) 함수 호출을 위해 tools와 tool_choice를 지원합니다. 또한 response_format의 JSON 스키마를 통해 구조화된 출력을 지원합니다.

GPT-5.4은(는) 텍스트, 이미지 및 PDF 등의 파일을(를) 입력으로 받아 텍스트을(를) 반환합니다.

OpenRouter에서 3개의 제공업체가 GPT-5.4을 제공하며, 해당 제공업체는 OpenAI, Azure 및 Amazon Bedrock입니다. 요청은 사용 가능한 최적의 제공업체로 라우팅되고 장애 발생 시 다른 제공업체로 자동 전환되며, 제공업체 라우팅을 통해 제공업체를 고정하거나 제외할 수 있습니다.

GPT-5.4은 2026년 3월 5일에 출시되었습니다.

다음 제작사의 다른 모델: OpenAI

GPT-6.1 Terra Pro

GPT-6.1 Terra Pro is the same underlying model as GPT-6.1 Terra, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6.1 Terra and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6.1 Terra instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

텍스트1.1M 컨텍스트US$1 / US$5
GPT-6.1 Terra Pro (batch)

GPT-6.1 Terra Pro is the same underlying model as GPT-6.1 Terra, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6.1 Terra and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6.1 Terra instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

텍스트1.1M 컨텍스트US$0.50 / US$2.50
GPT-6.1 Terra

GPT-6.1 Terra is the mid-tier model in OpenAI's GPT-6.1 series, priced below GPT-6.1 Sol. It is suited for everyday agentic, coding, and writing work, is particularly strong at understanding screenshots and on-screen content, and is efficient enough for high-volume workloads.

텍스트1.1M 컨텍스트US$1 / US$5
GPT-6.1 Terra (batch)

GPT-6.1 Terra is the mid-tier model in OpenAI's GPT-6.1 series, priced below GPT-6.1 Sol. It is suited for everyday agentic, coding, and writing work, is particularly strong at understanding screenshots and on-screen content, and is efficient enough for high-volume workloads.

텍스트1.1M 컨텍스트US$0.50 / US$2.50
GPT-6 Luna Decisions

GPT-6 Luna Decisions is GPT-6 Luna served through OpenAI's Decisions API. Instead of generating text, it reads the content passed as state (text, JSON, or images) and returns typed, probabilistic answers to named questions in a single request: the probability of yes for a yes/no question (noul), a probability for every option plus the most likely one (choice), or a probability for every level of an ordered rubric plus the expected score (score).

It is built for classification, routing, moderation, and rubric grading where application code thresholds the returned numbers rather than parsing a chat reply. A request can carry up to 200 questions about the same content.

의사결정US$0.10 / US$0
GPT-6.1 Sol Pro

GPT-6.1 Sol Pro is the same underlying model as GPT-6.1 Sol, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6.1 Sol and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6.1 Sol instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

텍스트1.1M 컨텍스트US$2 / US$10
GPT-6.1 Sol Pro (batch)

GPT-6.1 Sol Pro is the same underlying model as GPT-6.1 Sol, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6.1 Sol and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6.1 Sol instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

텍스트1.1M 컨텍스트US$1 / US$5
GPT-6.1 Sol

GPT-6.1 Sol is an upgrade to GPT-6 Sol from OpenAI, positioned below the flagship GPT-6 Astra in the GPT-6 series. It is suited for agentic coding, computer use, document-heavy professional work, and multi-step business workflow automation, and approaches Astra-level results on these tasks at a much lower cost. Compared with GPT-6 Sol, it makes fewer factual errors and is more reliable at respecting explicit restrictions and user intent during agentic tasks.

텍스트1.1M 컨텍스트US$2 / US$10
GPT-6.1 Sol (batch)

GPT-6.1 Sol is an upgrade to GPT-6 Sol from OpenAI, positioned below the flagship GPT-6 Astra in the GPT-6 series. It is suited for agentic coding, computer use, document-heavy professional work, and multi-step business workflow automation, and approaches Astra-level results on these tasks at a much lower cost. Compared with GPT-6 Sol, it makes fewer factual errors and is more reliable at respecting explicit restrictions and user intent during agentic tasks.

텍스트1.1M 컨텍스트US$1 / US$5
GPT-6 Luna Pro

GPT-6 Luna Pro is the same underlying model as GPT-6 Luna, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6 Luna and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6 Luna instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

텍스트1.1M 컨텍스트US$0.10 / US$0.50
GPT-6 Luna Pro (batch)

GPT-6 Luna Pro is the same underlying model as GPT-6 Luna, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6 Luna and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6 Luna instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

텍스트1.1M 컨텍스트US$0.05 / US$0.25
GPT-6 Luna

GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol. It is suited for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic tasks, and at higher reasoning effort it can take on complex software engineering and computer-use tasks that previously called for a Sol-tier model. It shares the GPT-6 family's gains in factual reliability and its clearer, more concise communication style.

텍스트1.1M 컨텍스트US$0.10 / US$0.50
GPT-6 Luna (batch)

GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol. It is suited for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic tasks, and at higher reasoning effort it can take on complex software engineering and computer-use tasks that previously called for a Sol-tier model. It shares the GPT-6 family's gains in factual reliability and its clearer, more concise communication style.

텍스트1.1M 컨텍스트US$0.05 / US$0.25
GPT-6 Sol Pro

GPT-6 Sol Pro is the same underlying model as GPT-6 Sol, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6 Sol and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6 Sol instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

텍스트1.1M 컨텍스트US$2 / US$10
GPT-6 Sol Pro (batch)

GPT-6 Sol Pro is the same underlying model as GPT-6 Sol, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6 Sol and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6 Sol instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

텍스트1.1M 컨텍스트US$1 / US$5
GPT-6 Sol

GPT-6 Sol is the cost-efficient high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra and above the fast GPT-6 Luna tier. It is suited for demanding professional work, agentic coding, business workflow automation, and computer use, and is particularly strong at long-horizon software engineering tasks in real codebases. It approaches Astra-level factual reliability at a much lower cost and shares Astra's clearer, more concise communication style in technical and coding conversations.

텍스트1.1M 컨텍스트US$2 / US$10
GPT-6 Sol (batch)

GPT-6 Sol is the cost-efficient high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra and above the fast GPT-6 Luna tier. It is suited for demanding professional work, agentic coding, business workflow automation, and computer use, and is particularly strong at long-horizon software engineering tasks in real codebases. It approaches Astra-level factual reliability at a much lower cost and shares Astra's clearer, more concise communication style in technical and coding conversations.

텍스트1.1M 컨텍스트US$1 / US$5
GPT Astra Latest

This model always redirects to the latest model in the GPT Astra family.

텍스트1.1M 컨텍스트
GPT Sol Latest

This model always redirects to the latest model in the GPT Sol family.

텍스트1.1M 컨텍스트
GPT Terra Latest

This model always redirects to the latest model in the GPT Terra family.

텍스트1.1M 컨텍스트