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By using Claude Fable 5.1, you consent to data retention for purposes of monitoring safe and compliant use of AI. Anthropic's data retention policy does not allow zero data retention. Learn moreOpens in new tab

Amazon Bedrock endpoint is BYOK-only while we work on enabling public access.

anthropic의 파비콘

Anthropic: Claude Fable 5.1

anthropic/claude-fable-5.1

비교

Claude Fable 5.1 improves on Claude Fable 5 across the board, with the biggest gains in agentic coding, long-running agentic workflows, and knowledge work: long code refactors, front-end and visual code generation, and finance and analysis tasks in particular. It also tends to be more concise than Fable 5 in its plans and summaries. We recommend testing it as a direct upgrade wherever you use Fable 5 today, and alongside Opus 5 on reasoning-heavy tasks.

모달리티
입력 / 출력 가격
US$10 / US$501M당
컨텍스트
1.0M
출시일
2026년 9월 1일
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: Anthropic: Claude Fable 5.1 (Artificial Analysis, Design Arena 및 Vals AI)
출처벤치마크점수
Artificial AnalysisClaude Fable 5.1 (Max, Default Fallback) Intelligence Index49.0
Artificial AnalysisClaude Fable 5.1 (Max, Default Fallback) Coding Index81.6
Artificial AnalysisClaude Fable 5.1 (Max, Default Fallback) Agentic Index57.9
Artificial AnalysisClaude Fable 5.1 (Max, Default Fallback) GPQA Diamond93.7%
Artificial AnalysisClaude Fable 5.1 (Max, Default Fallback) HLE59.1%
Artificial AnalysisClaude Fable 5.1 (Max, Default Fallback) AA-LCR85.3%
Artificial AnalysisClaude Fable 5.1 (Max, Default Fallback) τ-Bench Banking47.2%
Artificial AnalysisClaude Fable 5.1 (Max, Default Fallback) GDPval-AA63.2%
Artificial AnalysisClaude Fable 5.1 (Max, Default Fallback) CritPt29.7%
Artificial AnalysisClaude Fable 5.1 (Max, Default Fallback) SciCode63.1%
Artificial AnalysisClaude Fable 5.1 (Max, Default Fallback) Terminal-Bench 4.052.0%
Artificial AnalysisClaude Fable 5.1 (Max, Default Fallback) Terminal-Bench 2.191.4%
Artificial AnalysisClaude Fable 5.1 (Max, Default Fallback) AA-Omniscience Accuracy68.4%
Artificial AnalysisClaude Fable 5.1 (Max, Default Fallback) AA-Omniscience Non-Hallucination Rate30.0%
Artificial AnalysisClaude Fable 5.1 (Medium, Default Fallback) Intelligence Index43.0
Artificial AnalysisClaude Fable 5.1 (Medium, Default Fallback) Coding Index77.1
Artificial AnalysisClaude Fable 5.1 (Medium, Default Fallback) Agentic Index50.2
Artificial AnalysisClaude Fable 5.1 (Medium, Default Fallback) GPQA Diamond88.6%
Artificial AnalysisClaude Fable 5.1 (Medium, Default Fallback) HLE53.8%
Artificial AnalysisClaude Fable 5.1 (Medium, Default Fallback) AA-LCR84.7%
Artificial AnalysisClaude Fable 5.1 (Medium, Default Fallback) τ-Bench Banking41.0%
Artificial AnalysisClaude Fable 5.1 (Medium, Default Fallback) GDPval-AA52.7%
Artificial AnalysisClaude Fable 5.1 (Medium, Default Fallback) CritPt29.1%
Artificial AnalysisClaude Fable 5.1 (Medium, Default Fallback) SciCode56.4%
Artificial AnalysisClaude Fable 5.1 (Medium, Default Fallback) Terminal-Bench 4.044.9%
Artificial AnalysisClaude Fable 5.1 (Medium, Default Fallback) Terminal-Bench 2.188.0%
Artificial AnalysisClaude Fable 5.1 (Medium, Default Fallback) AA-Omniscience Accuracy62.6%
Artificial AnalysisClaude Fable 5.1 (Medium, Default Fallback) AA-Omniscience Non-Hallucination Rate30.2%
Artificial AnalysisClaude Fable 5.1 (Xhigh, Default Fallback) Intelligence Index49.7
Artificial AnalysisClaude Fable 5.1 (Xhigh, Default Fallback) Coding Index80.7
Artificial AnalysisClaude Fable 5.1 (Xhigh, Default Fallback) Agentic Index57.2
Artificial AnalysisClaude Fable 5.1 (Xhigh, Default Fallback) GPQA Diamond93.4%
Artificial AnalysisClaude Fable 5.1 (Xhigh, Default Fallback) HLE58.7%
Artificial AnalysisClaude Fable 5.1 (Xhigh, Default Fallback) AA-LCR83.0%
Artificial AnalysisClaude Fable 5.1 (Xhigh, Default Fallback) τ-Bench Banking45.8%
Artificial AnalysisClaude Fable 5.1 (Xhigh, Default Fallback) GDPval-AA62.0%
Artificial AnalysisClaude Fable 5.1 (Xhigh, Default Fallback) CritPt31.1%
Artificial AnalysisClaude Fable 5.1 (Xhigh, Default Fallback) SciCode60.9%
Artificial AnalysisClaude Fable 5.1 (Xhigh, Default Fallback) Terminal-Bench 4.055.1%
Artificial AnalysisClaude Fable 5.1 (Xhigh, Default Fallback) Terminal-Bench 2.191.0%
Artificial AnalysisClaude Fable 5.1 (Xhigh, Default Fallback) AA-Omniscience Accuracy67.2%
Artificial AnalysisClaude Fable 5.1 (Xhigh, Default Fallback) AA-Omniscience Non-Hallucination Rate30.5%
Artificial AnalysisClaude Fable 5.1 (Low, Default Fallback) Intelligence Index38.5
Artificial AnalysisClaude Fable 5.1 (Low, Default Fallback) Coding Index75.2
Artificial AnalysisClaude Fable 5.1 (Low, Default Fallback) Agentic Index47.1
Artificial AnalysisClaude Fable 5.1 (Low, Default Fallback) GPQA Diamond88.1%
Artificial AnalysisClaude Fable 5.1 (Low, Default Fallback) HLE48.9%
Artificial AnalysisClaude Fable 5.1 (Low, Default Fallback) AA-LCR82.3%
Artificial AnalysisClaude Fable 5.1 (Low, Default Fallback) τ-Bench Banking39.0%
Artificial AnalysisClaude Fable 5.1 (Low, Default Fallback) GDPval-AA48.8%
Artificial AnalysisClaude Fable 5.1 (Low, Default Fallback) CritPt27.7%
Artificial AnalysisClaude Fable 5.1 (Low, Default Fallback) SciCode56.7%
Artificial AnalysisClaude Fable 5.1 (Low, Default Fallback) Terminal-Bench 4.040.4%
Artificial AnalysisClaude Fable 5.1 (Low, Default Fallback) Terminal-Bench 2.185.0%
Artificial AnalysisClaude Fable 5.1 (Low, Default Fallback) AA-Omniscience Accuracy58.7%
Artificial AnalysisClaude Fable 5.1 (Low, Default Fallback) AA-Omniscience Non-Hallucination Rate40.2%
Artificial AnalysisClaude Fable 5.1 (High, Default Fallback) Intelligence Index47.0
Artificial AnalysisClaude Fable 5.1 (High, Default Fallback) Coding Index79.1
Artificial AnalysisClaude Fable 5.1 (High, Default Fallback) Agentic Index53.1
Artificial AnalysisClaude Fable 5.1 (High, Default Fallback) GPQA Diamond90.6%
Artificial AnalysisClaude Fable 5.1 (High, Default Fallback) HLE55.9%
Artificial AnalysisClaude Fable 5.1 (High, Default Fallback) AA-LCR83.7%
Artificial AnalysisClaude Fable 5.1 (High, Default Fallback) τ-Bench Banking43.1%
Artificial AnalysisClaude Fable 5.1 (High, Default Fallback) GDPval-AA57.2%
Artificial AnalysisClaude Fable 5.1 (High, Default Fallback) CritPt30.3%
Artificial AnalysisClaude Fable 5.1 (High, Default Fallback) SciCode58.7%
Artificial AnalysisClaude Fable 5.1 (High, Default Fallback) Terminal-Bench 4.052.0%
Artificial AnalysisClaude Fable 5.1 (High, Default Fallback) Terminal-Bench 2.189.9%
Artificial AnalysisClaude Fable 5.1 (High, Default Fallback) AA-Omniscience Accuracy64.7%
Artificial AnalysisClaude Fable 5.1 (High, Default Fallback) AA-Omniscience Non-Hallucination Rate29.8%
Design ArenaClaude Fable 5.1 Agents Arena Full Stack Elo1326
Design ArenaClaude Fable 5.1 Agents Arena Godotgamedev Elo1327
Design ArenaClaude Fable 5.1 Agents Arena Htmlslides Elo1394
Design ArenaClaude Fable 5.1 Agents Arena Mobile Apps Elo1263
Design ArenaClaude Fable 5.1 Agents Arena Python-Pptxslides Elo1318
Design ArenaClaude Fable 5.1 Agents Arena Spreadsheet Elo1422
Design ArenaClaude Fable 5.1 Agents Arena Webapps Elo1294
Design ArenaClaude Fable 5.1 Models Arena 3D Elo1403
Design ArenaClaude Fable 5.1 Models Arena Asciiart Elo1321
Design ArenaClaude Fable 5.1 Models Arena Code Categories Elo1333
Design ArenaClaude Fable 5.1 Models Arena Data Visualization Elo1344
Design ArenaClaude Fable 5.1 Models Arena Game Development Elo1373
Design ArenaClaude Fable 5.1 Models Arena SVG Elo1296
Design ArenaClaude Fable 5.1 Models Arena UI Component Elo1333
Design ArenaClaude Fable 5.1 Models Arena Website Elo1308
Vals AIClaude Fable 5.1 Code Migration54.6%
Vals AIClaude Fable 5.1 CyberBench v1.170.4%
Vals AIClaude Fable 5.1 EMB v1.176.7%
Vals AIClaude Fable 5.1 Finance Agent (v2)58.9%
Vals AIClaude Fable 5.1 GPQA Diamond93.4%
Vals AIClaude Fable 5.1 Harvey's Legal Agent Benchmark v16.7%
Vals AIClaude Fable 5.1 Immigration75.4%
Vals AIClaude Fable 5.1 IOI90.8%
Vals AIClaude Fable 5.1 LiveCodeBench90.5%
Vals AIClaude Fable 5.1 LegalBench88.5%
Vals AIClaude Fable 5.1 Legal Research Bench55.3%
Vals AIClaude Fable 5.1 MedCode53.5%
Vals AIClaude Fable 5.1 MedScribe91.3%
Vals AIClaude Fable 5.1 MMLU Pro92.4%
Vals AIClaude Fable 5.1 MMMU Pro90.6%
Vals AIClaude Fable 5.1 MortgageTax70.8%
Vals AIClaude Fable 5.1 MysteryMechanism47.7%
Vals AIClaude Fable 5.1 ProgramBench7.0%
Vals AIClaude Fable 5.1 ProofBench v1.1100.0%
Vals AIClaude Fable 5.1 Public Benefits Bench v1.174.9%
Vals AIClaude Fable 5.1 Robo-bench5.8%
Vals AIClaude Fable 5.1 Vals RSI Index36.1%
Vals AIClaude Fable 5.1 SAGE v148.5%
Vals AIClaude Fable 5.1 SkillsBench61.6%
Vals AIClaude Fable 5.1 SRE Bench22.9%
Vals AIClaude Fable 5.1 SWE-bench Multimodal61.3%
Vals AIClaude Fable 5.1 Tax Agent Bench49.2%
Vals AIClaude Fable 5.1 TaxEval v276.0%
Vals AIClaude Fable 5.1 Terminal-Bench 4.058.1%
Vals AIClaude Fable 5.1 Terminal-Bench-Science40.0%
Vals AIClaude Fable 5.1 Vals Index65.8%
Vals AIClaude Fable 5.1 Vibe Code Bench 1-10028.0%
Vals AIClaude Fable 5.1 Vibe Code Bench v1.190.3%

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.

Anthropic: Claude Fable 버전

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

문서

OpenRouter에서 Anthropic: Claude Fable 5.1을 활용해 개발하기 위한 가이드, 쿡북, 블로그 게시물 및 도구입니다.

  • Claude Fable 5.1 Migration Guide쿡북

더 많은 모델 탐색

비전 기능을 갖춘 AI 모델: 이미지 이해를 위한 멀티모달 LLM컬렉션AI 모델 순위순위
지연 시간 / 처리량
US$10.00US$50.00US$0.254.20s54 tps
91.67%
US$10.00US$50.00US$0.252.95s69 tps
100.00%
US$10.00US$50.00US$0.256.84s47 tps
--
US$10.00US$50.00US$0.253.89s72 tps
99.82%
처리량
72토큰/초

P50, 제공업체 중 최고

지연 시간
2.95초

P50, 최상의 제공업체

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.
99.95%

지난 3일간 가용성

최근 72시간
가용성 99.95%
3일 전2일 전어제현재

지난 24시간 동안의 가용성

OpenRouter Availability
99.96%
Without Routing
96.63%

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://claude.ai/apple-touch-icon.png의 파비콘
Claude Code
Claude Code is Anthropic's agentic coding tool that reads your entire codebase, plans and executes changes across files, runs tests, and iterates on failures, all from natural language prompts.
265B토큰
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.
208B토큰
3.
https://omp.sh/의 파비콘
omp
신규
29.3B토큰
4.
https://pi.dev/의 파비콘
pi
There are many coding agents, but this one is yours.
16.8B토큰
5.
https://openrouter.ai/images/apps/cline.png의 파비콘
Cline
Cline is an open-source AI coding agent that lives inside your IDE, autonomously exploring your codebase, editing files, running terminal commands, and using browser automation.
15.7B토큰

자주 묻는 질문

Claude Fable 5.1 improves on Claude Fable 5 across the board, with the biggest gains in agentic coding, long-running agentic workflows, and knowledge work: long code refactors, front-end and visual code generation, and finance and analysis tasks in particular. It also tends to be more concise than Fable 5 in its plans and summaries.

OpenRouter의 Claude Fable 5.1 문서에는 Claude Fable 5.1 Migration Guide 쿡북이 포함되어 있습니다. 빠른 시작에서는 API 키와 첫 요청을 다루며, API 참조에는 모든 매개변수가 나열되어 있습니다.

Claude Fable 5.1의 비용은 US$10.00/M 입력 토큰 및 US$50.00/백만 출력 토큰, Cache Read: US$0.25/M tokens, Cache Write: US$12.50/M tokens 및 Cache Write (1h): US$20.00/M tokens에는 별도 요금 적용입니다.

Claude Fable 5.1의 컨텍스트 윈도우는 1,000,000토큰입니다. 최대 128,000개의 완성 토큰을 지원합니다.

예. Claude Fable 5.1은(는) 함수 호출을 위해 tools와 tool_choice를 지원합니다. 또한 response_format의 JSON 스키마를 통해 구조화된 출력을 지원합니다.

Claude Fable 5.1은(는) 텍스트, 이미지 및 PDF 등의 파일을(를) 입력으로 받아 텍스트을(를) 반환합니다.

OpenRouter에서 4개의 제공업체가 Claude Fable 5.1을 제공하며, 해당 제공업체는 Azure, Anthropic, Amazon Bedrock (BYOK Only) 및 Google Vertex입니다. 요청은 사용 가능한 최적의 제공업체로 라우팅되고 장애 발생 시 다른 제공업체로 자동 전환되며, 제공업체 라우팅을 통해 제공업체를 고정하거나 제외할 수 있습니다.

Claude Fable 5.1은 2026년 9월 1일에 출시되었습니다.

다음 제작사의 다른 모델: Anthropic

Claude Haiku 5.5

Claude Haiku 5.5 is Anthropic's small, fast model for high-volume, cost-sensitive work such as summarization, subagents, and browser use. It succeeds Claude Haiku 4.5 with stronger coding, computer use, and knowledge work, and accepts text and image input with a 1M-token context window.

It is the first Haiku model with adjustable effort. Thinking is adaptive and on by default, with effort as the main lever for trading off depth, latency, and cost; it can be turned off at low, medium, and high effort.

텍스트1M 컨텍스트US$0.10 / US$0.50
Claude Haiku 5.5 (batch)

Claude Haiku 5.5 is Anthropic's small, fast model for high-volume, cost-sensitive work such as summarization, subagents, and browser use. It succeeds Claude Haiku 4.5 with stronger coding, computer use, and knowledge work, and accepts text and image input with a 1M-token context window.

It is the first Haiku model with adjustable effort. Thinking is adaptive and on by default, with effort as the main lever for trading off depth, latency, and cost; it can be turned off at low, medium, and high effort.

텍스트1M 컨텍스트US$0.05 / US$0.25
Claude Sonnet 5.5

Claude Sonnet 5.5 is Anthropic's Sonnet-class model for well-scoped everyday work, succeeding Claude Sonnet 5 as a direct upgrade. It is especially strong at building features, fixing bugs, and producing polished documents, slides, and spreadsheets, and it writes and communicates more clearly than its predecessor.

Thinking is always on, so effort is the main lever for trading off depth, latency, and cost, and lower effort settings keep it responsive for everyday agentic loops.

텍스트1M 컨텍스트US$2 / US$10
Claude Sonnet 5.5 (batch)

Claude Sonnet 5.5 is Anthropic's Sonnet-class model for well-scoped everyday work, succeeding Claude Sonnet 5 as a direct upgrade. It is especially strong at building features, fixing bugs, and producing polished documents, slides, and spreadsheets, and it writes and communicates more clearly than its predecessor.

Thinking is always on, so effort is the main lever for trading off depth, latency, and cost, and lower effort settings keep it responsive for everyday agentic loops.

텍스트1M 컨텍스트US$1 / US$5
Claude Opus 5.5

Claude Opus 5.5 is Anthropic's flagship model for demanding reasoning, coding, and long-horizon agentic work, succeeding Claude Opus 5. It is particularly strong at multi-step changes in large codebases, code review and bug finding, financial and scientific analysis, and reading dense charts, diagrams, and screenshots, and it is more careful than its predecessor about only stating figures and citing sources it can back up.

The model completes comparable tasks in fewer steps and with fewer tokens than Opus 5, and reports on its work in plainer language, with clear updates on what it did, what it found, and what it needs from the user. Thinking is always adaptive, so effort is the main lever for trading off depth, latency, and cost, and lower effort settings remain effective for latency-sensitive workloads.

텍스트1M 컨텍스트US$4 / US$20
Claude Opus 5.5 (batch)

Claude Opus 5.5 is Anthropic's flagship model for demanding reasoning, coding, and long-horizon agentic work, succeeding Claude Opus 5. It is particularly strong at multi-step changes in large codebases, code review and bug finding, financial and scientific analysis, and reading dense charts, diagrams, and screenshots, and it is more careful than its predecessor about only stating figures and citing sources it can back up.

The model completes comparable tasks in fewer steps and with fewer tokens than Opus 5, and reports on its work in plainer language, with clear updates on what it did, what it found, and what it needs from the user. Thinking is always adaptive, so effort is the main lever for trading off depth, latency, and cost, and lower effort settings remain effective for latency-sensitive workloads.

텍스트1M 컨텍스트US$2 / US$10
Claude Fable 5.1

Claude Fable 5.1 improves on Claude Fable 5 across the board, with the biggest gains in agentic coding, long-running agentic workflows, and knowledge work: long code refactors, front-end and visual code generation, and finance and analysis tasks in particular. It also tends to be more concise than Fable 5 in its plans and summaries. We recommend testing it as a direct upgrade wherever you use Fable 5 today, and alongside Opus 5 on reasoning-heavy tasks.

텍스트1M 컨텍스트US$10 / US$50
Claude Fable 5.1 (batch)

Claude Fable 5.1 improves on Claude Fable 5 across the board, with the biggest gains in agentic coding, long-running agentic workflows, and knowledge work: long code refactors, front-end and visual code generation, and finance and analysis tasks in particular. It also tends to be more concise than Fable 5 in its plans and summaries. We recommend testing it as a direct upgrade wherever you use Fable 5 today, and alongside Opus 5 on reasoning-heavy tasks.

텍스트1M 컨텍스트US$5 / US$25
Claude Opus 5

Fast-mode variant of Opus 5 - identical capabilities with higher output speed at 2x pricing relative to regular Opus 5.

Learn more in Anthropic's docs: https://platform.claude.com/docs/en/build-with-claude/fast-mode

Note: As of September 1, 2026, this dedicated fast model is deprecated. Fast mode is now served by the fast service tier endpoint on Claude Opus 5 — request it with service_tier: "fast" or speed: "fast". Requests to this model keep working and are served by the same fast tier capacity, so no action is required, but new integrations should target the regular model. Learn more in our service tier docs: https://openrouter.ai/docs/guides/features/service-tiers

텍스트1M 컨텍스트
Claude Opus 5

Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work. It is particularly strong at end-to-end software tasks, code review and bug finding, visual analysis of charts and documents, complex office deliverables, and coordinating parallel subagents.

The model maintains strong instruction following and tool use across extended tasks, while remaining effective at lower effort settings for workloads that prioritize latency and token efficiency.

텍스트1M 컨텍스트US$5 / US$25
Claude Opus 5 (batch)

Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work. It is particularly strong at end-to-end software tasks, code review and bug finding, visual analysis of charts and documents, complex office deliverables, and coordinating parallel subagents.

The model maintains strong instruction following and tool use across extended tasks, while remaining effective at lower effort settings for workloads that prioritize latency and token efficiency.

텍스트1M 컨텍스트US$2.50 / US$12.50
Claude Sonnet 5

Sonnet 5 is Anthropic's most capable Sonnet-class model, with frontier performance across coding, agents, and professional work. It supports adaptive thinking with selectable reasoning effort levels (low, medium, high, max, and x-high), a 1M-token context window, and text, image, and file inputs. Sonnet 5 uses an updated tokenizer and includes real-time cyber safeguards that block certain high-risk dual-use activities.

텍스트1M 컨텍스트US$2 / US$10
Claude Sonnet 5 (batch)

Sonnet 5 is Anthropic's most capable Sonnet-class model, with frontier performance across coding, agents, and professional work. It supports adaptive thinking with selectable reasoning effort levels (low, medium, high, max, and x-high), a 1M-token context window, and text, image, and file inputs. Sonnet 5 uses an updated tokenizer and includes real-time cyber safeguards that block certain high-risk dual-use activities.

텍스트1M 컨텍스트US$1 / US$5
Claude Fable Latest

This model always redirects to the latest model in the Claude Fable family.

텍스트1M 컨텍스트
Claude Fable 5

Claude Fable 5 is a Mythos-class model from Anthropic, built for autonomous knowledge work and coding. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token context window. It is suited for long-running, complex, and asynchronous tasks that previously required frequent human check-ins.

It is particularly strong at end-to-end work that would otherwise take a person hours, days, or weeks - taking on problems that are long-running, ambiguous, or highly multi-step. It executes well-scoped tasks with few mistakes, automatically self-correcting through verification loops, and ships with robust safeguards.

텍스트1M 컨텍스트US$10 / US$50
Claude Fable 5 (batch)

Claude Fable 5 is a Mythos-class model from Anthropic, built for autonomous knowledge work and coding. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token context window. It is suited for long-running, complex, and asynchronous tasks that previously required frequent human check-ins.

It is particularly strong at end-to-end work that would otherwise take a person hours, days, or weeks - taking on problems that are long-running, ambiguous, or highly multi-step. It executes well-scoped tasks with few mistakes, automatically self-correcting through verification loops, and ships with robust safeguards.

텍스트1M 컨텍스트US$5 / US$25
Claude Opus 4.8

Fast-mode variant of Opus 4.8 - identical capabilities with higher output speed at 2x pricing relative to regular Opus 4.8.

Learn more in Anthropic's docs: https://platform.claude.com/docs/en/build-with-claude/fast-mode

Note: As of September 1, 2026, this dedicated fast model is deprecated. Fast mode is now served by the fast service tier endpoint on Claude Opus 4.8 — request it with service_tier: "fast" or speed: "fast". Requests to this model keep working and are served by the same fast tier capacity, so no action is required, but new integrations should target the regular model. Learn more in our service tier docs: https://openrouter.ai/docs/guides/features/service-tiers

텍스트1M 컨텍스트
Claude Opus 4.8

Claude Opus 4.8 is Anthropic's most capable generally available model in the Opus family. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token context window. It is suited for highly autonomous agents, long-horizon agentic work, knowledge work, and memory-driven tasks where coherence over extended sessions matters.

It is particularly strong on multi-step reasoning, complex coding, and end-to-end project orchestration - large codebases, multi-stage debugging, and long-running asynchronous agent pipelines. Beyond coding, it handles knowledge work such as drafting documents, building presentations, and analyzing data, maintaining quality across very long outputs.

텍스트1M 컨텍스트US$5 / US$25
Claude Opus 4.8 (batch)

Claude Opus 4.8 is Anthropic's most capable generally available model in the Opus family. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token context window. It is suited for highly autonomous agents, long-horizon agentic work, knowledge work, and memory-driven tasks where coherence over extended sessions matters.

It is particularly strong on multi-step reasoning, complex coding, and end-to-end project orchestration - large codebases, multi-stage debugging, and long-running asynchronous agent pipelines. Beyond coding, it handles knowledge work such as drafting documents, building presentations, and analyzing data, maintaining quality across very long outputs.

텍스트1M 컨텍스트US$2.50 / US$12.50
Claude Opus 4.7

Fast-mode variant of Opus 4.7 - identical capabilities with higher output speed at premium 6x pricing.

Learn more in Anthropic's docs: https://platform.claude.com/docs/en/build-with-claude/fast-mode

텍스트1M 컨텍스트