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openai의 파비콘

OpenAI: o3 Mini High

openai/o3-mini-high

비교

OpenAI o3-mini-high is the same model as o3-mini with reasoning_effort set to high.

o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and coding. 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$1.10 / US$4.401M당
컨텍스트
200K
출시
2025년 2월 12일
지식 기준일
2023년 10월
비교
제공업체가격성능가동 시간벤치마크앱활동자주 묻는 질문탐색

제공업체

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

가격

고객이 이 모델에 실제로 지불하는 평균 가격으로, 제공업체가 게시한 가격과 함께 표시됩니다. 캐싱과 할인으로 인해 실제 지불 가격은 게시된 가격보다 훨씬 낮은 경우가 많습니다.

성능

처리량은 모델이 얼마나 빠르게 출력하는지를 나타냅니다(초당 토큰 수 — 높을수록 좋음). 지연 시간은 전체 왕복 시간입니다(낮을수록 좋음). TTFT는 첫 토큰까지 걸리는 시간으로, 무언가 화면에 표시되기 시작할 때까지의 시간을 뜻합니다(낮을수록 좋음).

가동 시간

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

벤치마크

표준화된 평가와 공유 벤치마크 프롬프트에 대한 이 모델 자체의 출력 점수입니다. 백분율이 높을수록 더 좋으며, 각 순위는 이 모델이 해당 출처에서 평가된 모델 중 어디에 위치하는지를 보여줍니다.

벤치마크 점수 요약: OpenAI: o3 Mini High (Artificial Analysis)
출처벤치마크점수
Artificial Analysiso3-mini (High) Intelligence Index11.0
Artificial Analysiso3-mini (High) Coding Index16.3
Artificial Analysiso3-mini (High) Agentic Index0.9
Artificial Analysiso3-mini (High) GPQA Diamond77.3%
Artificial Analysiso3-mini (High) HLE12.0%
Artificial Analysiso3-mini (High) IFBench67.1%
Artificial Analysiso3-mini (High) τ²-Bench Telecom31.3%
Artificial Analysiso3-mini (High) AA-LCR43.0%
Artificial Analysiso3-mini (High) τ-Bench Banking5.2%
Artificial Analysiso3-mini (High) GDPval-AA0.0%
Artificial Analysiso3-mini (High) CritPt0.3%
Artificial Analysiso3-mini (High) LiveCodeBench73.4%
Artificial Analysiso3-mini (High) SciCode42.8%
Artificial Analysiso3-mini (High) Terminal-Bench Hard6.1%
Artificial Analysiso3-mini (High) Terminal-Bench 4.00.0%
Artificial Analysiso3-mini (High) Terminal-Bench 2.14.5%
Artificial Analysiso3-mini (High) MMLU-Pro80.2%
Artificial Analysiso3-mini (High) AA-Omniscience Accuracy21.3%
Artificial Analysiso3-mini (High) AA-Omniscience Non-Hallucination Rate18.9%
Artificial Analysiso3-mini (High) AIME86.0%
Artificial Analysiso3-mini (High) MATH-50098.5%

앱

이 모델로 가장 많은 트래픽을 보내는 공개 앱입니다. 실제 프로덕션 워크로드가 어떤 모습인지 파악하는 데 유용하며, 이 모델이 어떤 사용 사례에 가장 적합한지 알려 주는 단서이기도 합니다.

활동

시간 경과에 따른 이 모델의 토큰 사용량과 요청 트래픽입니다.

API

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

더 많은 모델 살펴보기

AI 모델 순위순위
US$1.10US$4.40US$0.551.94s126 tps
80.00%
처리량
126tok/s

P50, 제공업체 전체 중 최고

지연 시간
1.94초

P50, 최고 제공업체

가동 시간(3일)모델에 연결할 수 있습니다. 요청이 제공업체로 라우팅되었습니다.
100.00%
가용성(3일)모델이 어떤 제공업체에서든 추론 결과를 반환한 비율입니다. 오류와 빈 응답은 가동 시간을 낮춥니다.
86.64%

지난 3일간의 가용성

최근 72시간
가용성 86.64%
3일 전2일 전어제지금

지난 24시간 동안의 가용성

OpenRouter Availability
100.00%

업스트림 제공업체에서 오류가 발생하면 요청 필터에서 허용하는 경우 정상 상태인 다른 제공업체로 라우팅하여 복구할 수 있습니다. 제공업체별 가동 시간 데이터는 프로그래밍 방식으로 엔드포인트 API를 통해 확인할 수 있습니다. 로드 밸런싱 및 사용자 지정 옵션에 대해 자세히 알아보세요.

1.
https://kilocode.ai/의 파비콘
Kilo Code
Kilo Code is an open-source AI coding agent that works across VS Code, JetBrains, and CLI to help developers ship code faster with agentic workflows.
4.87M토큰
2.
https://www.continue.dev/의 파비콘
Continue
신규
2.53M토큰
3.
https://github.com/neelnanda-io의 파비콘
knowledge-cutoff-eval
신규
1.55M토큰
4.
https://turbobrowser.co.uk/의 파비콘
SmartGPT Panel
신규
1.49M토큰
5.
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.
1.31M토큰

자주 묻는 질문

OpenAI o3-mini-high is the same model as o3-mini with reasoning_effort set to high. o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and coding.

o3 Mini High의 비용은 US$1.10/M 입력 토큰 및 US$4.40/M 출력 토큰, US$0.55/M tokens의 Cache Read에 대한 요금은 별도입니다.

o3 Mini High의 컨텍스트 윈도우는 200,000토큰입니다. 최대 100,000개의 완료 토큰을 지원합니다.

예. o3 Mini High은(는) 함수 호출을 위해 tools 및 tool_choice를 지원합니다. 또한 response_format에서 JSON 스키마를 사용하여 구조화된 출력을 지원합니다.

o3 Mini High은(는) 텍스트 및 PDF와 같은 파일을(를) 입력으로 받고 텍스트을(를) 반환합니다.

GPT-6 Luna Decisions, GPT-6.1 Sol Pro, GPT-6.1 Sol 외 62개은(는) OpenAI의 다른 텍스트 모델입니다.

o3 Mini High은(는) 2025년 2월 12일에 출시되었습니다. 지식 기준일은 2023년 10월 31일입니다.

다음 제공업체의 추가 모델 OpenAI

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.

결정US$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

텍스트컨텍스트 1.1MUS$2 / US$10
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

텍스트컨텍스트 1.1MUS$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.

텍스트컨텍스트 1.1MUS$2 / US$10
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.

텍스트컨텍스트 1.1MUS$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

텍스트컨텍스트 1.1MUS$0.10 / US$0.50
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

텍스트컨텍스트 1.1MUS$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.

텍스트컨텍스트 1.1MUS$0.10 / US$0.50
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.

텍스트컨텍스트 1.1MUS$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

텍스트컨텍스트 1.1MUS$2 / US$10
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

텍스트컨텍스트 1.1MUS$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.

텍스트컨텍스트 1.1MUS$2 / US$10
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.

텍스트컨텍스트 1.1MUS$1 / US$5
GPT Astra Latest

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

텍스트컨텍스트 1.1M
GPT Sol Latest

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

텍스트컨텍스트 1.1M
GPT Terra Latest

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

텍스트컨텍스트 1.1M
GPT Luna Latest

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

텍스트컨텍스트 1.1M
GPT Image 2.5 Sunburst

GPT Image 2.5 Sunburst is an image generation and editing model from OpenAI, positioned as the precision-oriented tier of the GPT Image 2.5 series. It is suited to detailed creative work where editing accuracy matters more than generation speed, via the dedicated Images API.

이미지US$8 / US$30
GPT Image 2.5 Flare

GPT Image 2.5 Flare is an image generation and editing model from OpenAI, positioned as the speed-oriented tier of the GPT Image 2.5 series. It is suited to high-volume everyday generation, creator content, and rapid prototyping via the dedicated Images API.

이미지US$8 / US$30
GPT-6 Astra

GPT-6 Astra is OpenAI's flagship model for demanding end-to-end work. It is suited for advanced analysis, software engineering, deep research, scientific work, and document creation, with particular strengths in long-horizon agentic tasks that involve computer and browser use.

텍스트컨텍스트 1.1MUS$10 / US$50