---
title: Claude Haiku 5.5
url: https://platform.claude.com/docs/zh-TW/models/haiku-5-5/overview
description: Claude Haiku 5.5 概覽：用途、各平台上的模型 ID、上下文視窗、輸出限制、定價、可用性，以及使用它進行建構的指南與資源。
---
**Latest.** Released October 7, 2026.
For high-volume, latency-sensitive tasks such as classification, extraction, and routing
Model ID: `claude-haiku-5-5`
Context window: 1M tokens · Max output: 128K tokens · Input pricing: From $0.10 / MTok · Output pricing: From $0.50 / MTok
[Announcement](https://www.anthropic.com/claude-haiku-5-5) · [What’s new](https://platform.claude.com/docs/zh-TW/models/haiku-5-5/whats-new-haiku-5-5) · [Migration guide](https://platform.claude.com/docs/zh-TW/models/haiku-5-5/migration-guide)
## 概覽
Claude Haiku 5.5 專為大量且對延遲敏感的工作而打造，例如分類、路由、擷取以及子代理任務。它支援搭配 effort 參數的自適應思考、1M token 的上下文視窗，以及最多 128k 個輸出 token。它使用與 Claude 4.7 及更新模型相同的新版「tokenizer」（分詞器），因此相同的文字會比在 Claude Haiku 4.5 上多計算約 30% 的 token。其思考區塊僅能在產生它們的帳戶中使用，或在與該帳戶連結的帳戶中使用。
如需程式碼變更，請參閱[遷移指南](https://platform.claude.com/docs/zh-TW/models/haiku-5-5/migration-guide)。如需模型 ID、定價與限制，請參閱 [Claude Haiku 5.5 概覽](https://platform.claude.com/docs/zh-TW/models/haiku-5-5/overview)。如需提示指引，請參閱[為 Claude Haiku 5.5 撰寫提示](https://platform.claude.com/docs/zh-TW/build-with-claude/prompt-engineering/prompting-claude-haiku-5-5)。
[Claude Haiku 5.5 的新功能](https://platform.claude.com/docs/zh-TW/models/haiku-5-5/whats-new-haiku-5-5)
## 比較
| Model | Context | Max output | Price / MTok | Latency | Thinking | Default effort | Knowledge cutoff |
| :------------------------------------------------------------------------------------- | :------ | :--------- | :----------------- | :------- | :------------------- | :------------- | :--------------- |
| [Claude Fable 5.1](https://platform.claude.com/docs/zh-TW/models/fable-5-1/overview) | 1M | 128K | $10 / $50 | Slower | Adaptive (always on) | `high` | Jun 2026 |
| [Claude Opus 5.5](https://platform.claude.com/docs/zh-TW/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/zh-TW/models/sonnet-5-5/overview) | 1M | 128K | $2 / $10 | Fast | Adaptive | `high` | Jun 2026 |
| **Claude Haiku 5.5** (this model) | 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 5.1 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.
## 規格
### Model IDs
| Platform | Model ID |
| :-------------------------------------------------------------------------------------------------------- | :--------------------------- |
| Claude API | `claude-haiku-5-5` |
| [Amazon Bedrock](https://platform.claude.com/docs/zh-TW/build-with-claude/claude-in-amazon-bedrock) | `anthropic.claude-haiku-5-5` |
| [Google Cloud](https://platform.claude.com/docs/zh-TW/build-with-claude/claude-on-vertex-ai) | `claude-haiku-5-5` |
| [Microsoft Foundry](https://platform.claude.com/docs/zh-TW/build-with-claude/claude-in-microsoft-foundry) | `claude-haiku-5-5` |
| [Claude Platform on AWS](https://platform.claude.com/docs/zh-TW/build-with-claude/claude-platform-on-aws) | `claude-haiku-5-5` |
### Pricing
| Feature | Value |
| :---------------------------------------------------------------------------------------- | :-------------------------------------------------------------------------------------------- |
| Input | $0.10 / MTok for prompts up to 100,000 tokens; $0.50 / MTok for prompts over 100,000 tokens |
| Output | $0.50 / MTok for prompts up to 100,000 tokens; $2.50 / MTok for prompts over 100,000 tokens |
| [5m cache write](https://platform.claude.com/docs/zh-TW/build-with-claude/prompt-caching) | $0.125 / MTok for prompts up to 100,000 tokens; $0.625 / MTok for prompts over 100,000 tokens |
| [1h cache write](https://platform.claude.com/docs/zh-TW/build-with-claude/prompt-caching) | $0.20 / MTok for prompts up to 100,000 tokens; $1 / MTok for prompts over 100,000 tokens |
| [Cache read](https://platform.claude.com/docs/zh-TW/build-with-claude/prompt-caching) | $0.01 / MTok for prompts up to 100,000 tokens; $0.05 / MTok for prompts over 100,000 tokens |
| [Batch API](https://platform.claude.com/docs/zh-TW/build-with-claude/batch-processing) | 50% discount on input and output |
[Full price list](https://platform.claude.com/docs/zh-TW/about-claude/pricing)
### Capabilities
| Feature | Value |
| :----------------------------------------------------------------------------------------------------------------------------- | :--------------------- |
| [Context window](https://platform.claude.com/docs/zh-TW/build-with-claude/context-windows) | 1M tokens |
| Max output | 128K tokens |
| [Max output (Batch API, beta)](https://platform.claude.com/docs/zh-TW/build-with-claude/batch-processing#extended-output-beta) | 300K tokens |
| [Thinking](https://platform.claude.com/docs/zh-TW/build-with-claude/thinking) | Adaptive |
| [Default effort](https://platform.claude.com/docs/zh-TW/build-with-claude/effort) | `medium` |
| Comparative latency | Fastest |
| 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/zh-TW/about-claude/model-deprecations) | Active (latest) |
| Released | October 7, 2026 |
| Retirement | Not sooner than October 7, 2027 |
| Platforms | Claude API, [Amazon Bedrock](https://platform.claude.com/docs/zh-TW/build-with-claude/claude-in-amazon-bedrock), [Google Cloud](https://platform.claude.com/docs/zh-TW/build-with-claude/claude-on-vertex-ai), [Microsoft Foundry](https://platform.claude.com/docs/zh-TW/build-with-claude/claude-in-microsoft-foundry), [Claude Platform on AWS](https://platform.claude.com/docs/zh-TW/build-with-claude/claude-platform-on-aws) |
## 須知事項
* 「Adaptive thinking」（自適應思考）預設為開啟。請使用 [effort 參數](https://platform.claude.com/docs/zh-TW/build-with-claude/effort)控制思考深度。
* 請省略 `temperature`、`top_p` 和 `top_k`。請參閱[移除取樣參數](https://platform.claude.com/docs/zh-TW/models/haiku-5-5/migration-guide#remove-sampling-parameters)，了解哪些值會傳回 400 錯誤。
* 在 [Message Batches API](https://platform.claude.com/docs/zh-TW/build-with-claude/batch-processing#extended-output-beta) 上，Claude Haiku 5.5 搭配 `output-300k-2026-03-24` beta 標頭時，最多支援 300k 個輸出 token。
* 最小可快取提示長度為 512 個 token。請參閱[提示快取](https://platform.claude.com/docs/zh-TW/build-with-claude/prompt-caching#cache-limitations)。
* 使用 [Models API](https://platform.claude.com/docs/zh-TW/api/models/list) 以程式化方式查詢限制與功能。
## 資源
Claude Haiku 5.5 特有的行為差異與提示模式。
選擇模型與 effort 等級、調整提示結構，並以串流方式輸出，以獲得更快的回應。
Claude Haiku 5.5 會自行決定何時思考以及思考多少。使用 `effort` 引導思考深度。
上下文視窗的計算與管理方式。
## 參考資料
Claude Haiku 5.5 在 claude.ai 和 Claude 應用程式中使用的系統提示。
Claude Haiku 5.5 的安全性評估與部署決策。
完整價目表，包括批次折扣與提示快取費率。
模型 ID、別名與固定快照的運作方式。
每個 Claude 模型的生命週期狀態與退役承諾。