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openai의 파비콘

OpenAI: gpt-oss-120b

openai/gpt-oss-120b

모델 가중치
비교

gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases. It activates 5.1B parameters per forward pass and is optimized to run on a single H100 GPU with native MXFP4 quantization. The model supports configurable reasoning depth, full chain-of-thought access, and native tool use, including function calling, browsing, and structured output generation.

모달리티
입력 / 출력 가격
US$0.03 / US$0.151M당
컨텍스트
131K
출시일
2025년 8월 5일
지식 기준일
2024년 6월
비교
제공업체요금성능가동 시간벤치마크앱활동자주 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-oss-120b (Artificial Analysis, Design Arena 및 Vals AI)
출처벤치마크점수
Artificial Analysisgpt-oss-120b (High) Coding Index30.4
Artificial Analysisgpt-oss-120b (High) Agentic Index3.7
Artificial Analysisgpt-oss-120b (High) GPQA Diamond78.2%
Artificial Analysisgpt-oss-120b (High) HLE19.6%
Artificial Analysisgpt-oss-120b (High) IFBench69.0%
Artificial Analysisgpt-oss-120b (High) τ²-Bench Telecom65.8%
Artificial Analysisgpt-oss-120b (High) AA-LCR52.0%
Artificial Analysisgpt-oss-120b (High) τ-Bench Banking12.8%
Artificial Analysisgpt-oss-120b (High) GDPval-AA5.8%
Artificial Analysisgpt-oss-120b (High) CritPt1.1%
Artificial Analysisgpt-oss-120b (High) LiveCodeBench87.8%
Artificial Analysisgpt-oss-120b (High) SciCode34.0%
Artificial Analysisgpt-oss-120b (High) Terminal-Bench Hard23.5%
Artificial Analysisgpt-oss-120b (High) Terminal-Bench 4.00.0%
Artificial Analysisgpt-oss-120b (High) Terminal-Bench 2.126.2%
Artificial Analysisgpt-oss-120b (High) MMLU-Pro80.8%
Artificial Analysisgpt-oss-120b (High) AIME 202593.4%
Artificial Analysisgpt-oss-120b (Low) Coding Index21.2
Artificial Analysisgpt-oss-120b (Low) GPQA Diamond67.2%
Artificial Analysisgpt-oss-120b (Low) HLE5.9%
Artificial Analysisgpt-oss-120b (Low) IFBench58.3%
Artificial Analysisgpt-oss-120b (Low) τ²-Bench Telecom45.0%
Artificial Analysisgpt-oss-120b (Low) AA-LCR46.0%
Artificial Analysisgpt-oss-120b (Low) τ-Bench Banking2.9%
Artificial Analysisgpt-oss-120b (Low) GDPval-AA0.0%
Artificial Analysisgpt-oss-120b (Low) CritPt0.0%
Artificial Analysisgpt-oss-120b (Low) LiveCodeBench70.7%
Artificial Analysisgpt-oss-120b (Low) Terminal-Bench Hard5.3%
Artificial Analysisgpt-oss-120b (Low) Terminal-Bench 2.113.9%
Artificial Analysisgpt-oss-120b (Low) MMLU-Pro77.5%
Artificial Analysisgpt-oss-120b (Low) AIME 202566.7%
Design ArenaGPT OSS 120B Models Arena 3D Elo898
Design ArenaGPT OSS 120B Models Arena Code Categories Elo961
Design ArenaGPT OSS 120B Models Arena Data Visualization Elo987
Design ArenaGPT OSS 120B Models Arena Game Development Elo992
Design ArenaGPT OSS 120B Models Arena UI Component Elo921
Design ArenaGPT OSS 120B Models Arena Website Elo966
Vals AIGPT OSS 120B AIME92.6%
Vals AIGPT OSS 120B CaseLaw v248.8%
Vals AIGPT OSS 120B CorpFin v258.2%
Vals AIGPT OSS 120B Finance Agent v1.121.5%
Vals AIGPT OSS 120B GPQA Diamond78.5%
Vals AIGPT OSS 120B LiveCodeBench83.2%
Vals AIGPT OSS 120B LegalBench75.9%
Vals AIGPT OSS 120B MATH 50094.8%
Vals AIGPT OSS 120B MedQA91.4%
Vals AIGPT OSS 120B MGSM92.0%
Vals AIGPT OSS 120B MMLU Pro79.2%
Vals AIGPT OSS 120B SWE-bench33.6%
Vals AIGPT OSS 120B TaxEval v271.6%
Vals AIGPT OSS 120B Terminal-Bench 2.019.1%

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-oss-120b은 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
Amazon Bedrock
유럽 가격
  • Amazon Bedrock: 입력 US$0.15/M tokens, 출력 US$0.60/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

더 많은 모델 탐색

AI 모델 순위순위
지연 시간 / 처리량
US$0.030US$0.109US$0.0270.69s70 tps
99.20%
US$0.030US$0.150US$0.0150.67s56 tps
100.00%
US$0.030US$0.150US$0.0300.73s45 tps
99.10%
US$0.030US$0.170US$0.0300.32s112 tps
99.91%
US$0.030US$0.180US$0.0300.38s88 tps
100.00%
US$0.030US$0.187US$0.0300.32s107 tps
100.00%
US$0.037US$0.170--0.52s28 tps
99.67%
US$0.050US$0.250US$0.0500.10s186 tps
100.00%
US$0.050US$0.250--0.69s153 tps
99.60%
US$0.055US$0.250--0.87s46 tps
99.86%
US$0.060US$0.400US$0.0300.43s150 tps
100.00%
US$0.060US$0.420US$0.0120.72s52 tps
100.00%
US$0.100US$0.500US$0.1000.16s171 tps
98.47%
US$0.100US$0.500US$0.1000.21s163 tps
99.27%
US$0.100US$0.750US$0.0550.33s197 tps
100.00%
US$0.150US$0.600US$0.1000.33s235 tps
99.74%
US$0.150US$0.600--0.42s209 tps
100.00%
US$0.150US$0.600US$0.0751.15s40 tps
90.88%
US$0.150US$0.600--0.85s149 tps
99.43%
US$0.150US$0.600US$0.0750.20s319 tps
99.70%
US$0.350US$0.750US$0.3500.16s854 tps
100.00%
US$0.140US$0.950--1.15s385 tps
99.61%
US$0.150US$0.750--0.79s206 tps
96.30%
US$0.200US$0.950--1.43s59 tps
84.40%
US$0.090US$0.360--0.63s59 tps
2.20%
US$0.150US$0.600--0.26s139 tps
98.48%
Standard 라우팅에서 사용되지 않음:이 엔드포인트가 사용되지 않는 이유
US$0.150US$0.600--0.42s180 tps
100.00%
처리량
854토큰/초

P50, 제공업체 중 최고

지연 시간
0.10초

P50, 최상의 제공업체

AutoExacto 벤치마크
GPQA DiamondTAU-BenchAmazon Bedrock76.8%--Amazon Bedrock (EU)76.8%--Google Vertex72.6%--AkashML77.4%66.5%Sail Research77.0%66.7%NEAR AI76.6%66.8%
+20 개 제공업체 더 보기
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.
99.63%

지난 3일간 가용성

최근 72시간
가용성 99.63%
3일 전2일 전어제현재

지난 24시간 동안의 가용성

OpenRouter Availability
99.72%
Without Routing
90.87%

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://convosight.com/의 파비콘
cvi-magic-tasks-ai-tagging
신규
45.6B토큰
2.
https://mira.tg/의 파비콘
Mira is the leading AI agent inside Telegram
Mira is a Telegram-native AI assistant.
35.9B토큰
3.
https://op.gg/의 파비콘
OP.GG
신규
27B토큰
4.
https://apollo.halan.io/의 파비콘
LibreChat
신규
15.9B토큰
5.
https://craftrpgs.com/?utm_source=openrouter의 파비콘
Craft
Build and play AI RPGs
12.2B토큰

자주 묻는 질문

gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases. It activates 5.1B parameters per forward pass and is optimized to run on a single H100 GPU with native MXFP4 quantization.

gpt-oss-120b의 비용은 US$0.03/M 입력 토큰 및 US$0.15/백만 출력 토큰, Cache Read: US$0.015/M tokens에는 별도 요금 적용입니다.

gpt-oss-120b의 컨텍스트 윈도우는 131,072토큰입니다. 최대 131,072개의 완성 토큰을 지원합니다.

예. gpt-oss-120b은 이를 제공하는 24개 제공업체 중 20개에서 함수 호출을 위한 tools와 tool_choice를 지원하며, 도구를 전송하는 요청은 해당 제공업체로 라우팅됩니다. 또한 response_format의 JSON 스키마를 통해 구조화된 출력을 지원합니다.

OpenRouter에서 24개의 제공업체가 gpt-oss-120b을 제공하며, 해당 제공업체는 NEAR AI, Venice, CoreWeave, DekaLLM, AkashML, Prime Intellect, DeepInfra (fp8), Crusoe 외 16개입니다. 요청은 사용 가능한 최적의 제공업체로 라우팅되고 장애 발생 시 다른 제공업체로 자동 전환되며, 제공업체 라우팅을 통해 제공업체를 고정하거나 제외할 수 있습니다.

gpt-oss-120b의 출시일은 2025년 8월 5일입니다. 지식 기준일은 2024년 6월 30일입니다.

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