---
title: Claude Fable 5.2
url: https://platform.claude.com/docs/ko/models/fable-5-2/overview
description: "Claude Fable 5.2 개요: 용도, 모든 플랫폼의 모델 ID, 컨텍스트 윈도우, 출력 한도, 가격, 제공 현황 및 이를 활용한 개발을 위한 리소스를 소개합니다."
---
**Latest.** Released November 9, 2026.
For demanding reasoning and long-horizon agentic work
Model ID: `claude-fable-5-2`
Context window: 1M tokens · Max output: 128K tokens · Input pricing: $8 / MTok · Output pricing: $40 / MTok
[Announcement](https://www.anthropic.com/claude-fable-and-mythos-5-2) · [What’s new](https://platform.claude.com/docs/ko/models/fable-5-2/whats-new-fable-5-2) · [Migration guide](https://platform.claude.com/docs/ko/models/fable-5-2/migration-guide)
## 개요
Claude Fable 5.2는 고도의 추론과 장기적인 에이전트 작업을 위해 설계되었습니다. 일반적인 사용 사례로는 수 시간 동안 실행되는 에이전트 세션, 다단계 심층 리서치, 그리고 완성된 문서, 스프레드시트 또는 프레젠테이션 자료까지 이어지는 분석이 있습니다.
## Claude Fable 5.2와 Claude Mythos 5.2
[Claude Mythos 5.2](https://platform.claude.com/docs/ko/models/mythos-5-2/overview)는 [Cyber Verification Program](https://support.claude.com/en/articles/14604842)과 같은 Anthropic의 검증 프로그램을 통해 검증된 조직에만 동일한 기능을 제공합니다. Claude Mythos 5.2는 Claude Fable 5.2와 사양 및 가격이 동일합니다. 액세스를 요청하려면 사용 사례에 해당하는 프로그램에 신청하거나 계정 팀에 문의하세요.
## 비교
| Model | Context | Max output | Price / MTok | Latency | Thinking | Default effort | Knowledge cutoff |
| :---------------------------------------------------------------------------------- | :------ | :--------- | :----------------- | :------- | :------------------- | :------------- | :--------------- |
| **Claude Fable 5.2** (this model) | 1M | 128K | $8 / $40 | Moderate | Adaptive (always on) | `high` | Jun 2026 |
| [Claude Opus 5.5](https://platform.claude.com/docs/ko/models/opus-5-5/overview) | 1M | 128K | $4 / $20 | Moderate | Adaptive (always on) | `medium` | Jun 2026 |
| [Claude Sonnet 5.5](https://platform.claude.com/docs/ko/models/sonnet-5-5/overview) | 1M | 128K | $2 / $10 | Fast | Adaptive | `high` | Jun 2026 |
| [Claude Haiku 5.5](https://platform.claude.com/docs/ko/models/haiku-5-5/overview) | 1M | 128K | From $0.10 / $0.50 | Fastest | Adaptive | `medium` | Jun 2026 |
* **Context:** 1M tokens is roughly 555k words or 2.5M Unicode characters on the current tokenizer (introduced with Claude Opus 4.7); models before it fit about 750k words in 1M tokens. 200k tokens is roughly 150k words.
* **Max output:** Synchronous Messages API limit. On the Message Batches API, Claude Opus 5.5, Claude Opus 5, Claude Sonnet 5.5, Claude Sonnet 5, Claude Haiku 5.5, Claude Opus 4.8, Claude Opus 4.7, Claude Opus 4.6, and Claude Sonnet 4.6 support up to 300k output tokens with the output-300k-2026-03-24 beta header.
* **Price / MTok:** Input / output, base price per million tokens. Batch API requests are 50% off; prompt caching reads cost 10% of the base input price (2.5% on Claude Fable 5.2, Claude Mythos 5.2, Claude Fable 5.1, and Claude Mythos 5.1, 5% on Claude Opus 5.5 and Claude Sonnet 5.5). See Pricing for the full list.
* **Latency:** Comparative latency, relative to the current lineup, as published in the models overview. Actual latency depends on prompt length, output length, and thinking effort.
* **Thinking:** Adaptive thinking lets the model decide how much to think, steered by effort. Extended thinking is the manual budget\_tokens mode on earlier models.
* **Default effort:** The effort parameter’s default on the Claude API. Models without a value don’t support the parameter.
* **Knowledge cutoff:** Reliable knowledge cutoff: the date through which the model’s knowledge is most extensive and reliable.
## 사양
### Model IDs
| Platform | Model ID |
| :--------------------------------------------------------------------------------------------------------------------------------------------------------- | :--------------------------- |
| Claude API | `claude-fable-5-2` |
| [Amazon Bedrock](https://platform.claude.com/docs/ko/build-with-claude/claude-in-amazon-bedrock) | `anthropic.claude-fable-5-2` |
| [Claude Models on Google Cloud (Google managed)](https://platform.claude.com/docs/ko/build-with-claude/claude-models-on-google-cloud/google-managed) | `claude-fable-5-2` |
| [Microsoft Foundry](https://platform.claude.com/docs/ko/build-with-claude/claude-in-microsoft-foundry) | `claude-fable-5-2` |
| [Claude Platform on AWS](https://platform.claude.com/docs/ko/build-with-claude/claude-platform-on-aws) | `claude-fable-5-2` |
| [Claude Models on Google Cloud (Anthropic managed)](https://platform.claude.com/docs/ko/build-with-claude/claude-models-on-google-cloud/anthropic-managed) | `claude-fable-5-2` |
### Pricing
| Feature | Value |
| :------------------------------------------------------------------------------------- | :------------------------------- |
| Input | $8 / MTok |
| Output | $40 / MTok |
| [5m cache write](https://platform.claude.com/docs/ko/build-with-claude/prompt-caching) | $10 / MTok |
| [1h cache write](https://platform.claude.com/docs/ko/build-with-claude/prompt-caching) | $16 / MTok |
| [Cache read](https://platform.claude.com/docs/ko/build-with-claude/prompt-caching) | $0.20 / MTok |
| [Batch API](https://platform.claude.com/docs/ko/build-with-claude/batch-processing) | 50% discount on input and output |
[Full price list](https://platform.claude.com/docs/ko/about-claude/pricing)
### Capabilities
| Feature | Value |
| :-------------------------------------------------------------------------------------- | :--------------------- |
| [Context window](https://platform.claude.com/docs/ko/build-with-claude/context-windows) | 1M tokens |
| Max output | 128K tokens |
| [Thinking](https://platform.claude.com/docs/ko/build-with-claude/thinking) | Adaptive (always on) |
| [Default effort](https://platform.claude.com/docs/ko/build-with-claude/effort) | `high` |
| Comparative latency | Moderate |
| Input → output | Text and images → text |
| Reliable knowledge cutoff | Jun 2026 |
| Training data cutoff | Jun 2026 |
### Availability
| Feature | Value |
| :---------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| [Status](https://platform.claude.com/docs/ko/about-claude/model-deprecations) | Active (latest) |
| Released | November 9, 2026 |
| Retirement | Not sooner than November 9, 2027 |
| Platforms | Claude API, [Amazon Bedrock](https://platform.claude.com/docs/ko/build-with-claude/claude-in-amazon-bedrock), [Claude Models on Google Cloud (Google managed)](https://platform.claude.com/docs/ko/build-with-claude/claude-models-on-google-cloud/google-managed), [Microsoft Foundry](https://platform.claude.com/docs/ko/build-with-claude/claude-in-microsoft-foundry), [Claude Platform on AWS](https://platform.claude.com/docs/ko/build-with-claude/claude-platform-on-aws), [Claude Models on Google Cloud (Anthropic managed)](https://platform.claude.com/docs/ko/build-with-claude/claude-models-on-google-cloud/anthropic-managed) |
## 알아 두면 좋은 점
* “Adaptive thinking”(적응형 사고)은 항상 켜져 있으며 끌 수 없습니다. 사고 깊이는 [effort 매개변수](https://platform.claude.com/docs/ko/build-with-claude/effort)로 제어하세요.
* 강제 도구 사용(`tool_choice` 유형 `any` 및 `tool`)은 400 오류를 반환합니다. [Thinking 및 tool choice](https://platform.claude.com/docs/ko/models/fable-5-2/whats-new-fable-5-2#thinking-and-tool-choice)를 참조하세요.
* `temperature`, `top_p`, `top_k`는 생략하세요. 400 오류를 반환하는 값은 [샘플링 매개변수](https://platform.claude.com/docs/ko/build-with-claude/thinking#sampling-parameters)를 참조하세요.
* Claude Fable 5.2는 30일 데이터 보존이 필요하며, Anthropic이 명시적으로 승인하지 않는 한 “zero data retention”(데이터 무보존) 환경에서는 사용할 수 없습니다. [모델별 데이터 보존 요구 사항](https://platform.claude.com/docs/ko/manage-claude/api-and-data-retention#model-specific-data-retention-requirements)을 참조하세요.
* [Models API](https://platform.claude.com/docs/ko/api/models/list)를 사용하여 한도와 기능을 프로그래밍 방식으로 조회하세요.
## 리소스
Claude Fable 5.2에 특화된 동작 차이와 프롬프팅 패턴입니다.
Claude Fable 5.1 또는 Claude Opus 모델에서 이전할 때 달라지는 점입니다.
이전 턴을 편집하면 모든 계정에서 사고 블록이 무효화됩니다.
적응형 사고의 작동 방식입니다. Claude Fable 5.2에서 유일한 사고 모드입니다.
사고 깊이, 지연 시간, 비용을 제어합니다. 각 워크로드에 맞는 수준을 선택하세요.
분류기 거부를 처리하고 다른 Claude 모델로 재시도합니다.
Messages API 요청에서 프리미엄 가격으로 Claude Fable 5.2의 더 빠른 출력을 제공합니다.
## 레퍼런스
Claude Fable 5.2가 claude.ai 및 Claude 앱에서 사용하는 시스템 프롬프트입니다.
Claude Fable 5.2 및 Claude Mythos 5.2에 대한 안전성 평가와 배포 결정입니다.
배치 할인 및 프롬프트 캐싱 요금을 포함한 전체 가격표입니다.
모델 ID, 별칭 및 고정 스냅샷의 작동 방식입니다.
모든 Claude 모델의 수명 주기 상태와 종료 약속입니다.