본문으로 건너뛰기
알파
  • 모델
  • 순위
  • Ori
영업팀 문의

푸터

OpenRouterOpenRouter
© 2026 OpenRouter, Inc

제품

  • 채팅
  • 순위
  • 벤치마크
  • 앱
  • 탐색
  • 모델
  • Ori
  • 컬렉션
  • 제공업체
  • 도구
  • 요금
  • Business
  • Enterprise
  • 실험실

회사

  • 소개
  • 블로그
  • 고객
  • 채용
    채용
  • 개인정보 보호
  • 서비스 이용약관
  • 신뢰 센터
  • 지원
  • OR과 호환
  • 데이터
  • 브랜드

개발자

  • 문서
  • API 레퍼런스
  • 개발자 플랫폼
  • 상태
  • AI 사이트맵

연결

  • Discord
  • GitHub
  • LinkedIn
  • X
  • YouTube
openai의 파비콘

OpenAI: o3 Mini (batch)

openai/o3-mini:batch

비교

OpenAI o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and coding.

This model supports the reasoning_effort parameter, which can be set to "high", "medium", or "low" to control the thinking time of the model. The default is "medium". OpenRouter also offers the model slug openai/o3-mini-high to default the parameter to "high".

The model features three adjustable reasoning effort levels and supports key developer capabilities including function calling, structured outputs, and streaming, though it does not include vision processing capabilities.

The model demonstrates significant improvements over its predecessor, with expert testers preferring its responses 56% of the time and noting a 39% reduction in major errors on complex questions. With medium reasoning effort settings, o3-mini matches the performance of the larger o1 model on challenging reasoning evaluations like AIME and GPQA, while maintaining lower latency and cost.

모달리티
입력 / 출력 가격
US$0.55 / US$2.201M당
컨텍스트
200K
출시일
2025년 1월 31일
지식 기준일
2023년 10월
비교
제공업체요금성능가동 시간벤치마크앱활동자주 묻는 질문탐색

제공업체

이 모델은 하나의 제공업체에서 호스팅합니다. OpenRouter는 모든 요청을 해당 제공업체로 직접 전달하므로 라우팅 결정을 내릴 필요가 없습니다.

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: o3 Mini (batch) (Artificial Analysis)
출처벤치마크점수
Artificial Analysiso3-mini GPQA Diamond74.8%
Artificial Analysiso3-mini HLE7.9%
Artificial Analysiso3-mini τ²-Bench Telecom28.7%
Artificial Analysiso3-mini LiveCodeBench71.7%
Artificial Analysiso3-mini Terminal-Bench Hard6.8%
Artificial Analysiso3-mini MMLU-Pro79.1%
Artificial Analysiso3-mini AIME77.0%
Artificial Analysiso3-mini MATH-50097.3%

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.

현재 EU 역내 라우팅을 통해 사용할 수 없습니다. 리전 내 라우팅 문서

더 많은 모델 탐색

AI 모델 순위순위
US$0.55US$2.20US$0.275----
--

아직 표시할 가동 시간 데이터가 충분하지 않습니다.

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.

이 모델을 사용하는 앱에 대한 데이터가 아직 충분하지 않습니다.

자주 묻는 질문

OpenAI o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and coding. This model supports the reasoning_effort parameter, which can be set to "high", "medium", or "low" to control the thinking time of the model. The default is "medium".

o3 Mini (batch)의 비용은 US$0.55/M 입력 토큰 및 US$2.20/백만 출력 토큰, Cache Read: US$0.275/M tokens에는 별도 요금 적용입니다.

o3 Mini (batch)의 컨텍스트 윈도우는 200,000토큰입니다. 최대 100,000개의 완성 토큰을 지원합니다.

예. o3 Mini (batch)은(는) 함수 호출을 위해 tools와 tool_choice를 지원합니다. 또한 response_format의 JSON 스키마를 통해 구조화된 출력을 지원합니다.

o3 Mini (batch)은(는) 텍스트 및 PDF 등의 파일을(를) 입력으로 받아 텍스트을(를) 반환합니다.

GPT-6.1 Terra Pro, GPT-6.1 Terra, GPT-6 Luna Decisions 외 58개은(는) OpenAI의 다른 텍스트 모델입니다.

o3 Mini (batch)의 출시일은 2025년 1월 31일입니다. 지식 기준일은 2023년 10월 31일입니다.

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