---
title: Claude Sonnet 5.5
url: https://platform.claude.com/docs/zh-TW/models/sonnet-5-5/overview
description: Claude Sonnet 5.5 概覽：適用情境、各平台上的模型 ID、上下文視窗、輸出限制、定價、可用性，以及使用它進行開發的指南與資源。
---

**Latest.** Released September 28, 2026.

The best combination of speed and intelligence

Model ID: `claude-sonnet-5-5`

Context window: 1M tokens · Max output: 128K tokens · Input pricing: $2 / MTok · Output pricing: $10 / MTok

[Announcement](https://www.anthropic.com/claude-sonnet-5-5) · [What’s new](https://platform.claude.com/docs/zh-TW/models/sonnet-5-5/whats-new-sonnet-5-5) · [Migration guide](https://platform.claude.com/docs/zh-TW/models/sonnet-5-5/migration-guide)

## 概覽

Claude Sonnet 5.5 提供速度與智慧的最佳組合。有五項「breaking changes」（破壞性變更）會影響已在 Claude Sonnet 5 上執行的程式碼：

* [使用 `between_tools` 關閉預先思考](https://platform.claude.com/docs/zh-TW/models/sonnet-5-5/whats-new-sonnet-5-5#turn-off-up-front-thinking)。
* [強制工具使用會傳回錯誤](https://platform.claude.com/docs/zh-TW/models/sonnet-5-5/whats-new-sonnet-5-5#forced-tool-use-is-not-supported)。
* [思考區塊與模型及對話綁定](https://platform.claude.com/docs/zh-TW/models/sonnet-5-5/whats-new-sonnet-5-5#thinking-blocks-are-tied-to-the-model-that-produced-them)。
* [在 Claude API 和 Google Cloud 上，不再接受較早的 `computer_20251124` 電腦使用工具](https://platform.claude.com/docs/zh-TW/models/sonnet-5-5/whats-new-sonnet-5-5#computer-20251124-is-not-supported)。
* [顧問工具拒絕以 Claude Opus 4.8、Claude Opus 4.7、Claude Sonnet 5 和 Claude Haiku 5.5 作為顧問](https://platform.claude.com/docs/zh-TW/models/sonnet-5-5/whats-new-sonnet-5-5#advisor-tool-pairings)。

另有一項變更會改變回應的結構，但不會導致任何請求失敗：[工具呼叫之間的文字會以 `thinking` 區塊傳回](https://platform.claude.com/docs/zh-TW/models/sonnet-5-5/whats-new-sonnet-5-5#text-between-tool-calls)。若應用程式會將這些文字串流給使用者，則在工具呼叫之間將不會有任何輸出，直到它設定會傳回文字的 `display` 值，或使用 `between_tools` 關閉預先思考為止。

[Claude Sonnet 5.5 的新功能](https://platform.claude.com/docs/zh-TW/models/sonnet-5-5/whats-new-sonnet-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** (this model)                                                   | 1M      | 128K       | $2 / $10           | Fast     | Adaptive             | `high`         | Jun 2026         |
| [Claude Haiku 5.5](https://platform.claude.com/docs/zh-TW/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 5.1 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-sonnet-5-5`           |
| [Amazon Bedrock](https://platform.claude.com/docs/zh-TW/build-with-claude/claude-in-amazon-bedrock)       | `anthropic.claude-sonnet-5-5` |
| [Google Cloud](https://platform.claude.com/docs/zh-TW/build-with-claude/claude-on-vertex-ai)              | `claude-sonnet-5-5`           |
| [Microsoft Foundry](https://platform.claude.com/docs/zh-TW/build-with-claude/claude-in-microsoft-foundry) | `claude-sonnet-5-5`           |
| [Claude Platform on AWS](https://platform.claude.com/docs/zh-TW/build-with-claude/claude-platform-on-aws) | `claude-sonnet-5-5`           |

### Pricing

| Feature                                                                                   | Value                            |
| :---------------------------------------------------------------------------------------- | :------------------------------- |
| Input                                                                                     | $2 / MTok                        |
| Output                                                                                    | $10 / MTok                       |
| [5m cache write](https://platform.claude.com/docs/zh-TW/build-with-claude/prompt-caching) | $2.50 / MTok                     |
| [1h cache write](https://platform.claude.com/docs/zh-TW/build-with-claude/prompt-caching) | $4 / MTok                        |
| [Cache read](https://platform.claude.com/docs/zh-TW/build-with-claude/prompt-caching)     | $0.10 / MTok                     |
| [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)                                              | `high`                 |
| Comparative latency                                                                                                            | Fast                   |
| 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                                                                         | September 28, 2026                                                                                                                                                                                                                                                                                                                                                                                                                  |
| Retirement                                                                       | Not sooner than September 28, 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

* 「Adaptive thinking」（自適應思考）預設為開啟。最低的思考設定是 `between_tools`，它會關閉預先思考。此設定適用於 `high` 或更低的「effort」（努力程度）等級。請參閱 [Claude Sonnet 5.5 的新功能](https://platform.claude.com/docs/zh-TW/models/sonnet-5-5/whats-new-sonnet-5-5#turn-off-up-front-thinking)。
* 將 `temperature`、`top_p` 或 `top_k` 設為非預設值會傳回 400 錯誤。
* 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)。
* 在 [Message Batches API](https://platform.claude.com/docs/zh-TW/build-with-claude/batch-processing#extended-output-beta) 上，Claude Sonnet 5.5 搭配 `output-300k-2026-03-24`「beta header」（beta 標頭）時，最多支援 300k 個輸出 token。
* 使用 [Models API](https://platform.claude.com/docs/zh-TW/api/models/list) 以程式方式查詢限制與功能。

## 資源

<CardGroup cols={3}>
  <Card title="為 Claude Sonnet 5.5 撰寫提示" icon="lightbulb" href="https://platform.claude.com/docs/zh-TW/build-with-claude/prompt-engineering/prompting-claude-sonnet-5-5">
    Claude Sonnet 5.5 特有的行為差異與提示模式。
  </Card>

  <Card title="努力程度" icon="sliders" href="https://platform.claude.com/docs/zh-TW/build-with-claude/effort">
    控制思考深度、延遲與成本的設定。請依每個工作負載選擇等級。
  </Card>

  <Card title="自適應思考" icon="brain" href="https://platform.claude.com/docs/zh-TW/build-with-claude/thinking">
    自適應思考的運作方式、各模型接受哪些思考設定，以及思考區塊如何被保留。
  </Card>
</CardGroup>

## 參考

<CardGroup cols={3}>
  <Card title="系統提示" icon="text" href="https://platform.claude.com/docs/zh-TW/release-notes/system-prompts/claude-sonnet-5-5">
    Claude Sonnet 5.5 在 claude.ai 和 Claude 應用程式上使用的系統提示。
  </Card>

  <Card title="系統卡" icon="file" href="https://www.anthropic.com/document/claude-sonnet-5-5-system-card">
    Claude Sonnet 5.5 的安全性評估和部署決策。
  </Card>

  <Card title="定價" icon="coins" href="https://platform.claude.com/docs/zh-TW/about-claude/pricing">
    完整價目表，包括批次折扣和提示快取費率。
  </Card>

  <Card title="模型 ID 與版本控制" icon="fingerprint" href="https://platform.claude.com/docs/zh-TW/about-claude/models/model-ids-and-versions">
    模型 ID、別名和固定快照的運作方式。
  </Card>

  <Card title="模型棄用" icon="clock" href="https://platform.claude.com/docs/zh-TW/about-claude/model-deprecations">
    每個 Claude 模型的生命週期狀態和退役承諾。
  </Card>
</CardGroup>
