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anthropic의 파비콘

Anthropic: Claude Sonnet 5

anthropic/claude-sonnet-5

비교

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.

모달리티
입력/출력 가격
US$2 / US$101M당
컨텍스트
1.0M
출시
2026년 6월 30일
비교
제공업체가격성능가동 시간벤치마크앱활동문서자주 묻는 질문탐색

제공업체

같은 모델을 서로 다른 회사가 호스팅합니다. OpenRouter는 사용자가 선택한 라우팅 모드에 따라 요청을 그중 한 곳으로 라우팅합니다 — Balanced(가격 + 속도), Nitro(가장 빠름), Floor(가장 저렴함) 또는 Exacto(가장 높은 도구 호출 정확도).

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: Anthropic: Claude Sonnet 5 (Artificial Analysis, Design Arena and Vals AI)
출처벤치마크점수
Artificial AnalysisClaude Sonnet 5 (Max) Intelligence Index38.2
Artificial AnalysisClaude Sonnet 5 (Max) Coding Index71.5
Artificial AnalysisClaude Sonnet 5 (Max) Agentic Index43.6
Artificial AnalysisClaude Sonnet 5 (Max) GPQA Diamond91.1%
Artificial AnalysisClaude Sonnet 5 (Max) HLE41.3%
Artificial AnalysisClaude Sonnet 5 (Max) AA-LCR82.0%
Artificial AnalysisClaude Sonnet 5 (Max) τ-Bench Banking37.3%
Artificial AnalysisClaude Sonnet 5 (Max) GDPval-AA48.3%
Artificial AnalysisClaude Sonnet 5 (Max) CritPt16.9%
Artificial AnalysisClaude Sonnet 5 (Max) SciCode54.3%
Artificial AnalysisClaude Sonnet 5 (Max) Terminal-Bench 4.014.1%
Artificial AnalysisClaude Sonnet 5 (Max) Terminal-Bench 2.180.5%
Artificial AnalysisClaude Sonnet 5 (Max) AA-Omniscience Accuracy40.1%
Artificial AnalysisClaude Sonnet 5 (Max) AA-Omniscience Non-Hallucination Rate60.6%
Artificial AnalysisClaude Sonnet 5 (Non-reasoning, High) Intelligence Index23.2
Artificial AnalysisClaude Sonnet 5 (Non-reasoning, High) Coding Index66.4
Artificial AnalysisClaude Sonnet 5 (Non-reasoning, High) GPQA Diamond80.0%
Artificial AnalysisClaude Sonnet 5 (Non-reasoning, High) HLE19.0%
Artificial AnalysisClaude Sonnet 5 (Non-reasoning, High) AA-LCR70.0%
Artificial AnalysisClaude Sonnet 5 (Non-reasoning, High) τ-Bench Banking15.7%
Artificial AnalysisClaude Sonnet 5 (Non-reasoning, High) GDPval-AA35.7%
Artificial AnalysisClaude Sonnet 5 (Non-reasoning, High) CritPt1.1%
Artificial AnalysisClaude Sonnet 5 (Non-reasoning, High) Terminal-Bench 2.175.3%
Artificial AnalysisClaude Sonnet 5 (Non-reasoning, High) AA-Omniscience Accuracy33.8%
Artificial AnalysisClaude Sonnet 5 (Non-reasoning, High) AA-Omniscience Non-Hallucination Rate48.0%
Artificial AnalysisClaude Sonnet 5 (Medium) Intelligence Index28.1
Artificial AnalysisClaude Sonnet 5 (Medium) HLE30.0%
Artificial AnalysisClaude Sonnet 5 (Medium) AA-LCR73.7%
Artificial AnalysisClaude Sonnet 5 (Medium) GDPval-AA33.0%
Artificial AnalysisClaude Sonnet 5 (Medium) CritPt8.6%
Artificial AnalysisClaude Sonnet 5 (Medium) SciCode51.6%
Artificial AnalysisClaude Sonnet 5 (Medium) Terminal-Bench 4.02.0%
Artificial AnalysisClaude Sonnet 5 (Medium) AA-Omniscience Accuracy37.1%
Artificial AnalysisClaude Sonnet 5 (Medium) AA-Omniscience Non-Hallucination Rate30.1%
Artificial AnalysisClaude Sonnet 5 (Xhigh) Intelligence Index34.4
Artificial AnalysisClaude Sonnet 5 (Xhigh) HLE39.0%
Artificial AnalysisClaude Sonnet 5 (Xhigh) AA-LCR76.7%
Artificial AnalysisClaude Sonnet 5 (Xhigh) GDPval-AA43.1%
Artificial AnalysisClaude Sonnet 5 (Xhigh) CritPt15.4%
Artificial AnalysisClaude Sonnet 5 (Xhigh) SciCode54.1%
Artificial AnalysisClaude Sonnet 5 (Xhigh) Terminal-Bench 4.07.1%
Artificial AnalysisClaude Sonnet 5 (Xhigh) AA-Omniscience Accuracy39.0%
Artificial AnalysisClaude Sonnet 5 (Xhigh) AA-Omniscience Non-Hallucination Rate41.4%
Artificial AnalysisClaude Sonnet 5 (High) Intelligence Index31.7
Artificial AnalysisClaude Sonnet 5 (High) HLE35.7%
Artificial AnalysisClaude Sonnet 5 (High) AA-LCR76.7%
Artificial AnalysisClaude Sonnet 5 (High) GDPval-AA37.9%
Artificial AnalysisClaude Sonnet 5 (High) CritPt15.1%
Artificial AnalysisClaude Sonnet 5 (High) SciCode54.3%
Artificial AnalysisClaude Sonnet 5 (High) Terminal-Bench 4.05.1%
Artificial AnalysisClaude Sonnet 5 (High) AA-Omniscience Accuracy37.4%
Artificial AnalysisClaude Sonnet 5 (High) AA-Omniscience Non-Hallucination Rate34.3%
Artificial AnalysisClaude Sonnet 5 (Low) Intelligence Index24.3
Artificial AnalysisClaude Sonnet 5 (Low) HLE21.9%
Artificial AnalysisClaude Sonnet 5 (Low) AA-LCR67.3%
Artificial AnalysisClaude Sonnet 5 (Low) GDPval-AA28.5%
Artificial AnalysisClaude Sonnet 5 (Low) CritPt4.6%
Artificial AnalysisClaude Sonnet 5 (Low) SciCode50.1%
Artificial AnalysisClaude Sonnet 5 (Low) Terminal-Bench 4.02.5%
Artificial AnalysisClaude Sonnet 5 (Low) AA-Omniscience Accuracy37.3%
Artificial AnalysisClaude Sonnet 5 (Low) AA-Omniscience Non-Hallucination Rate27.2%
Design ArenaClaude Sonnet 5 Agents Arena Agenticgamedev Elo1226
Design ArenaClaude Sonnet 5 Agents Arena Androidnative Elo1237
Design ArenaClaude Sonnet 5 Agents Arena Full Stack Elo1248
Design ArenaClaude Sonnet 5 Agents Arena Godotgamedev Elo1225
Design ArenaClaude Sonnet 5 Agents Arena Htmlslides Elo1217
Design ArenaClaude Sonnet 5 Agents Arena Mobile Apps Elo1211
Design ArenaClaude Sonnet 5 Agents Arena Python-Pptxslides Elo1216
Design ArenaClaude Sonnet 5 Agents Arena Webapps Elo1237
Design ArenaClaude Sonnet 5 Models Arena 3D Elo1266
Design ArenaClaude Sonnet 5 Models Arena Asciiart Elo1209
Design ArenaClaude Sonnet 5 Models Arena Code Categories Elo1281
Design ArenaClaude Sonnet 5 Models Arena Data Visualization Elo1253
Design ArenaClaude Sonnet 5 Models Arena Game Development Elo1287
Design ArenaClaude Sonnet 5 Models Arena SVG Elo1192
Design ArenaClaude Sonnet 5 Models Arena UI Component Elo1283
Design ArenaClaude Sonnet 5 Models Arena Website Elo1279
Vals AIClaude Sonnet 5 Code Migration44.4%
Vals AIClaude Sonnet 5 CorpFin v267.0%
Vals AIClaude Sonnet 5 CyberBench v1.161.9%
Vals AIClaude Sonnet 5 EMB66.3%
Vals AIClaude Sonnet 5 Finance Agent (v2)53.9%
Vals AIClaude Sonnet 5 GPQA Diamond88.9%
Vals AIClaude Sonnet 5 Harvey's Legal Agent Benchmark5.0%
Vals AIClaude Sonnet 5 IOI45.0%
Vals AIClaude Sonnet 5 LiveCodeBench82.4%
Vals AIClaude Sonnet 5 LegalBench83.9%
Vals AIClaude Sonnet 5 Legal Research Bench41.8%
Vals AIClaude Sonnet 5 MedCode47.5%
Vals AIClaude Sonnet 5 MedScribe76.1%
Vals AIClaude Sonnet 5 MMLU Pro87.5%
Vals AIClaude Sonnet 5 MMMU Pro83.0%
Vals AIClaude Sonnet 5 MortgageTax70.0%
Vals AIClaude Sonnet 5 ProgramBench0.0%
Vals AIClaude Sonnet 5 ProofBench v1.177.0%
Vals AIClaude Sonnet 5 SAGE48.9%
Vals AIClaude Sonnet 5 SkillsBench46.5%
Vals AIClaude Sonnet 5 SRE Bench0.4%
Vals AIClaude Sonnet 5 SWE-bench79.6%
Vals AIClaude Sonnet 5 Tax Agent Bench29.4%
Vals AIClaude Sonnet 5 TaxEval v275.6%
Vals AIClaude Sonnet 5 Terminal-Bench 4.09.6%
Vals AIClaude Sonnet 5 Vals Index51.8%
Vals AIClaude Sonnet 5 Vals Multimodal Index68.8%
Vals AIClaude Sonnet 5 Vibe Code Bench 1-10013.8%
Vals AIClaude Sonnet 5 Vibe Code Bench v1.181.3%

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.

문서

Guides, cookbooks, blog posts, and tools for building with Anthropic: Claude Sonnet 5 on OpenRouter.

  • Claude 5 Sonnet Migration Guide쿡북

더 많은 모델 살펴보기

비전 기능을 갖춘 AI 모델: 이미지 이해를 위한 멀티모달 LLM컬렉션AI 모델 순위순위
US$2.00US$10.00US$0.202.69s82 tps
100.00%
US$2.00US$10.00US$0.201.33s63 tps
100.00%
US$2.00US$10.00US$0.201.78s85 tps
99.95%
US$2.00US$10.00US$0.201.28s62 tps
99.91%
US$2.00US$10.00US$0.200.95s76 tps
100.00%
Standard 라우팅에서 사용되지 않음:이 엔드포인트를 사용하지 않는 이유
US$2.20US$11.00US$0.221.58s66 tps
100.00%
US$2.20US$11.00US$0.22----
100.00%
US$2.20US$11.00US$0.222.27s94 tps
100.00%
US$2.20US$11.00US$0.222.88s106 tps
99.93%
US$2.20US$11.00US$0.221.39s59 tps
100.00%
처리량
106tok/s

P50, 제공업체 전체 중 최고

지연 시간
0.95초

P50, 최고 제공업체

AutoExacto benchmarks
GPQA DiamondTAU-BenchGoogle Vertex (US)88.1%76.1%Azure88.3%75.4%Amazon Bedrock (EU)87.7%76.0%Azure (US)88.4%75.2%Anthropic88.2%75.5%auto-routing87.1%75.8%Google Vertex (EU)88.1%74.8%Amazon Bedrock87.9%74.7%Amazon Bedrock (US)88.7%73.5%Google Vertex87.6%74.2%
+1 개 추가 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.
99.93%

지난 3일간의 가용성

최근 72시간
가용성 99.93%
3일 전2일 전어제지금

지난 24시간 동안의 가용성

OpenRouter Availability
99.92%
Without Routing
98.55%

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://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.
762B토큰
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.
553B토큰
3.
https://descript.com/의 파비콘
Descript
AI Video & Podcast Editor
429B토큰
4.
https://hellohaven.ai/의 파비콘
Hello Haven
신규
163B토큰
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.
87.7B토큰

자주 묻는 질문

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.

OpenRouter의 Claude Sonnet 5 문서에는 Claude 5 Sonnet Migration Guide 요리책가 포함되어 있습니다. 빠른 시작에서는 API 키와 첫 요청을 다루며, API 참조에는 모든 매개변수가 나와 있습니다.

Claude Sonnet 5의 비용은 US$2.00/M 입력 토큰 및 US$10.00/M 출력 토큰, US$0.20/M tokens의 Cache Read, US$2.50/M tokens의 Cache Write, US$4.00/M tokens의 Cache Write (1h) 및 US$10.00/1K calls의 Web Search에 대한 요금은 별도입니다.

Claude Sonnet 5의 컨텍스트 윈도우는 1,000,000토큰입니다. 최대 128,000개의 완료 토큰을 지원합니다.

예. Claude Sonnet 5은(는) 함수 호출을 위해 tools 및 tool_choice를 지원합니다. 또한 response_format에서 JSON 스키마를 사용하여 구조화된 출력을 지원합니다.

Claude Sonnet 5은(는) 텍스트, 이미지 및 PDF와 같은 파일을(를) 입력으로 받고 텍스트을(를) 반환합니다.

Claude Sonnet 5은(는) OpenRouter에서 5개 제공업체가 제공합니다: Claude Platform on AWS, Azure, Google Vertex, Amazon Bedrock 및 Anthropic. 요청은 사용 가능한 최적의 제공업체로 라우팅되며, 다른 제공업체로 자동 장애 조치됩니다. 제공업체 라우팅을 사용하여 제공업체를 고정하거나 제외할 수도 있습니다.

Claude Sonnet 5은(는) 2026년 6월 30일에 출시되었습니다.

다음 제공업체의 추가 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.

텍스트컨텍스트 1MUS$0.10 / US$0.50
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.

텍스트컨텍스트 1MUS$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.

텍스트컨텍스트 1MUS$2 / US$10
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.

텍스트컨텍스트 1MUS$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.

텍스트컨텍스트 1MUS$4 / US$20
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.

텍스트컨텍스트 1MUS$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.

텍스트컨텍스트 1MUS$10 / US$50
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.

텍스트컨텍스트 1MUS$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

텍스트컨텍스트 1M
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.

텍스트컨텍스트 1MUS$5 / US$25
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.

텍스트컨텍스트 1MUS$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.

텍스트컨텍스트 1MUS$1 / US$5
Claude Fable Latest

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

텍스트컨텍스트 1M
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.

텍스트컨텍스트 1MUS$10 / US$50
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.

텍스트컨텍스트 1MUS$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

텍스트컨텍스트 1M
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.

텍스트컨텍스트 1MUS$5 / US$25
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.

텍스트컨텍스트 1MUS$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

텍스트컨텍스트 1M
Claude Haiku Latest

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

텍스트컨텍스트 200K