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about-claude/models/overview.md

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# Models overview¶

Claude is a family of state-of-the-art large language models developed by Anthropic. This guide introduces
ourthe available models and compares their performance.¶

---¶

## Choosing a model¶

If you're unsure which model to use,
we recommendconsider starting with **Claude Opus 4.6** for the most complex tasks. It is ourthe latest generation model with exceptional performance in coding and reasoning.¶

All current Claude models support text and image input, text output, multilingual capabilities, and vision. Models are available via the
AnthropicClaude API, AWS Bedrock, and Google Vertex AI.¶

Once you've picked a model, [learn how to make your first API call](/docs/en/get-started).¶

### Latest models comparison¶

| Feature | Claude Opus 4.6 | Claude Sonnet 4.6 | Claude Haiku 4.5 |¶
|:--------|:----------------|:------------------|:-----------------|¶
| **Description** |
OurThe most intelligent model for building agents and coding | OurThe best combination of speed and intelligence | OurThe fastest model with near-frontier intelligence |¶
| **Claude API ID** | claude-opus-4-6 | claude-sonnet-4-6 | claude-haiku-4-5-20251001 |¶
| **Claude API alias** | claude-opus-4-6 | claude-sonnet-4-6 | claude-haiku-4-5 |¶
| **AWS Bedrock ID** | anthropic.claude-opus-4-6-v1 | anthropic.claude-sonnet-4-6 | anthropic.claude-haiku-4-5-20251001-v1:0 |¶
| **GCP Vertex AI ID** | claude-opus-4-6 | claude-sonnet-4-6 | claude-haiku-4-5@20251001 |¶
| **Pricing**<sup>1</sup> | \$5 / input MTok<br/>\$25 / output MTok | \$3 / input MTok<br/>\$15 / output MTok | \$1 / input MTok<br/>\$5 / output MTok |¶
| **[Extended thinking](/docs/en/build-with-claude/extended-thinking)** | Yes | Yes | Yes |¶
| **[Adaptive thinking](/docs/en/build-with-claude/adaptive-thinking)** | Yes | Yes | No |¶
| **[Priority Tier](/docs/en/api/service-tiers)** | Yes | Yes | Yes |¶
| **Comparative latency** | Moderate | Fast | Fastest |¶
| **Context window** | <Tooltip tooltipContent="~150K words \ ~680K unicode characters">200K tokens</Tooltip> / <br/> <Tooltip tooltipContent="~750K words \ ~3.4M unicode characters">1M tokens</Tooltip> (beta)<sup>3</sup> | <Tooltip tooltipContent="~150K words \ ~680K unicode characters">200K tokens</Tooltip> / <br/> <Tooltip tooltipContent="~750K words \ ~3.4M unicode characters">1M tokens</Tooltip> (beta)<sup>3</sup> | <Tooltip tooltipContent="~150K words \ ~680K unicode characters">200K tokens</Tooltip> |¶
| **Max output** | 128K tokens | 64K tokens | 64K tokens |¶
| **Reliable knowledge cutoff** | May 2025<sup>2</sup> | Aug 2025<sup>2</sup> | Feb 2025 |¶
| **Training data cutoff** | Aug 2025 | Jan 2026 | Jul 2025 |¶

_<sup>1 - See
ourthe [pricing page](/docs/en/about-claude/pricing) for complete pricing information including batch API discounts, prompt caching rates, extended thinking costs, and vision processing fees.</sup>_¶

_<sup>2 - **Reliable knowledge cutoff** indicates the date through which a model's knowledge is most extensive and reliable. **Training data cutoff** is the broader date range of training data used. For more information, see [Anthropic's Transparency Hub](https://www.anthropic.com/transparency).</sup>_¶

_<sup>3 - Claude Opus 4.6 and Sonnet 4.6 support a [1M token context window](/docs/en/build-with-claude/context-windows#1m-token-context-window) when using the `context-1m-2025-08-07` beta header. [Long context pricing](/docs/en/about-claude/pricing#long-context-pricing) applies to requests exceeding 200K tokens.</sup>_¶

<Note>Models with the same snapshot date (e.g., 20240620) are identical across all platforms and do not change. The snapshot date in the model name ensures consistency and allows developers to rely on stable performance across different environments.</Note>¶

<Note>Starting with **Claude Sonnet 4.5 and all subsequent models** (including Claude Sonnet 4.6), AWS Bedrock and Google Vertex AI offer two endpoint types: **global endpoints** (dynamic routing for maximum availability) and **regional endpoints** (guaranteed data routing through specific geographic regions). For more information, see the [third-party platform pricing section](/docs/en/about-claude/pricing#third-party-platform-pricing).</Note>¶

<section title="Legacy models">¶

The following models are still available
but we recommend. Consider migrating to current models for improved performance:¶

| Feature | Claude Sonnet 4.5 | Claude Opus 4.5 | Claude Opus 4.1 | Claude Sonnet 4 | Claude Sonnet 3.7 | Claude Opus 4 | Claude Haiku 3 |¶
|:--------|:------------------|:----------------|:----------------|:----------------|:------------------|:--------------|:---------------|¶
| **Claude API ID** | claude-sonnet-4-5-20250929 | claude-opus-4-5-20251101 | claude-opus-4-1-20250805 | claude-sonnet-4-20250514 | claude-3-7-sonnet-20250219 | claude-opus-4-20250514 | claude-3-haiku-20240307 |¶
| **Claude API alias** | claude-sonnet-4-5 | claude-opus-4-5 | claude-opus-4-1 | claude-sonnet-4-0 | claude-3-7-sonnet-latest | claude-opus-4-0 | — |¶
| **AWS Bedrock ID** | anthropic.claude-sonnet-4-5-20250929-v1:0 | anthropic.claude-opus-4-5-20251101-v1:0 | anthropic.claude-opus-4-1-20250805-v1:0 | anthropic.claude-sonnet-4-20250514-v1:0 | anthropic.claude-3-7-sonnet-20250219-v1:0 | anthropic.claude-opus-4-20250514-v1:0 | anthropic.claude-3-haiku-20240307-v1:0 |¶
| **GCP Vertex AI ID** | claude-sonnet-4-5@20250929 | claude-opus-4-5@20251101 | claude-opus-4-1@20250805 | claude-sonnet-4@20250514 | claude-3-7-sonnet@20250219 | claude-opus-4@20250514 | claude-3-haiku@20240307 |¶
| **Pricing** | \$3 / input MTok<br/>\$15 / output MTok | \$5 / input MTok<br/>\$25 / output MTok | \$15 / input MTok<br/>\$75 / output MTok | \$3 / input MTok<br/>\$15 / output MTok | \$3 / input MTok<br/>\$15 / output MTok | \$15 / input MTok<br/>\$75 / output MTok | \$0.25 / input MTok<br/>\$1.25 / output MTok |¶
| **[Extended thinking](/docs/en/build-with-claude/extended-thinking)** | Yes | Yes | Yes | Yes | Yes | Yes | No |¶
| **[Priority Tier](/docs/en/api/service-tiers)** | Yes | Yes | Yes | Yes | Yes | Yes | No |¶
| **Comparative latency** | Fast | Moderate | Moderate | Fast | Fast | Moderate | Fast |¶
| **Context window** | <Tooltip tooltipContent="~150K words \ ~680K unicode characters">200K tokens</Tooltip> / <br/> <Tooltip tooltipContent="~750K words \ ~3.4M unicode characters">1M tokens</Tooltip> (beta)<sup>1</sup> | <Tooltip tooltipContent="~150K words \ ~680K unicode characters">200K tokens</Tooltip> | <Tooltip tooltipContent="~150K words \ ~680K unicode characters">200K tokens</Tooltip> | <Tooltip tooltipContent="~150K words \ ~680K unicode characters">200K tokens</Tooltip> / <br/> <Tooltip tooltipContent="~750K words \ ~3.4M unicode characters">1M tokens</Tooltip> (beta)<sup>1</sup> | <Tooltip tooltipContent="~150K words \ ~680K unicode characters">200K tokens</Tooltip> | <Tooltip tooltipContent="~150K words \ ~680K unicode characters">200K tokens</Tooltip> | <Tooltip tooltipContent="~150K words \ ~680K unicode characters">200K tokens</Tooltip> |¶
| **Max output** | 64K tokens | 64K tokens | 32K tokens | 64K tokens | 64K tokens / 128K tokens (beta)<sup>4</sup> | 32K tokens | 4K tokens |¶
| **Reliable knowledge cutoff** | Jan 2025<sup>2</sup> | May 2025<sup>2</sup> | Jan 2025<sup>2</sup> | Jan 2025<sup>2</sup> | Oct 2024<sup>2</sup> | Jan 2025<sup>2</sup> | <sup>3</sup> |¶
| **Training data cutoff** | Jul 2025 | Aug 2025 | Mar 2025 | Mar 2025 | Nov 2024 | Mar 2025 | Aug 2023 |¶

_<sup>1 - Claude Sonnet 4.5 and Claude Sonnet 4 support a [1M token context window](/docs/en/build-with-claude/context-windows#1m-token-context-window) when using the `context-1m-2025-08-07` beta header. [Long context pricing](/docs/en/about-claude/pricing#long-context-pricing) applies to requests exceeding 200K tokens.</sup>_¶

_<sup>2 - **Reliable knowledge cutoff** indicates the date through which a model's knowledge is most extensive and reliable. **Training data cutoff** is the broader date range of training data used.</sup>_¶

_<sup>3 - Some Haiku models have a single training data cutoff date.</sup>_¶

_<sup>4 - Include the beta header `output-128k-2025-02-19` in your API request to increase the maximum output token length to 128K tokens for Claude Sonnet 3.7.
We strongly suggest using ourUse the [streaming Messages API](/docs/en/build-with-claude/streaming) to avoid timeouts when generating longer outputs. See ourthe guidance on [long requests](/docs/en/api/errors#long-requests) for more details.</sup>_¶

</section>¶

## Prompt and output performance¶

Claude 4 models excel in:¶
- **Performance**: Top-tier results in reasoning, coding, multilingual tasks, long-context handling, honesty, and image processing. See the [Claude 4 blog post](http://www.anthropic.com/news/claude-4) for more information.¶
- **Engaging responses**: Claude models are ideal for applications that require rich, human-like interactions.¶

- If you prefer more concise responses, you can adjust your prompts to guide the model toward the desired output length. Refer to
ourthe [prompt engineering guides](/docs/en/build-with-claude/prompt-engineering) for details.¶
- For prompting best practices, see
ourthe [prompting best practices guide](/docs/en/build-with-claude/prompt-engineering/claude-prompting-best-practices).¶
- **Output quality**: When migrating from previous model generations to Claude 4, you may notice larger improvements in overall performance.¶

## Migrating to Claude 4.6¶

If you're currently using older Claude models,
we recommendconsider migrating to Claude Opus 4.6 to take advantage of improved intelligence and enhanced capabilities. For detailed migration instructions, see [Migrating to Claude 4.6](/docs/en/about-claude/models/migration-guide).¶

## Get started with Claude¶

If you're ready to start exploring what Claude can do for you,
let's dive in! Whether you're a developer looking to integrate Claude into your applications or a user wanting to experience the power of AI firsthand, we've got you coveredthe following resources can help.¶

<Note>Looking to chat with Claude? Visit [claude.ai](http://www.claude.ai)!</Note>¶

<CardGroup cols={3}>¶
<Card title="Intro to Claude" icon="check" href="/docs/en/intro">¶
Explore Claude's capabilities and development flow.¶
</Card>¶
<Card title="Quickstart" icon="lightning" href="/docs/en/get-started">¶
Learn how to make your first API call in minutes.¶
</Card>¶
<Card title="Claude Console" icon="code" href="/">¶
Craft and test powerful prompts directly in your browser.¶
</Card>¶
</CardGroup>¶

If you have any questions or need assistance, don't hesitate to reach out to
ourthe [support team](https://support.claude.com/) or consult the [Discord community](https://www.anthropic.com/discord).

Unified Diff

--- a/about-claude/models/overview.md
+++ b/about-claude/models/overview.md
@@ -1,14 +1,14 @@
 # Models overview
 
-Claude is a family of state-of-the-art large language models developed by Anthropic. This guide introduces our models and compares their performance.
+Claude is a family of state-of-the-art large language models developed by Anthropic. This guide introduces the available models and compares their performance.
 
 ---
 
 ## Choosing a model
 
-If you're unsure which model to use, we recommend starting with **Claude Opus 4.6** for the most complex tasks. It is our latest generation model with exceptional performance in coding and reasoning.
+If you're unsure which model to use, consider starting with **Claude Opus 4.6** for the most complex tasks. It is the latest generation model with exceptional performance in coding and reasoning.
 
-All current Claude models support text and image input, text output, multilingual capabilities, and vision. Models are available via the Anthropic API, AWS Bedrock, and Google Vertex AI.
+All current Claude models support text and image input, text output, multilingual capabilities, and vision. Models are available via the Claude API, AWS Bedrock, and Google Vertex AI.
 
 Once you've picked a model, [learn how to make your first API call](/docs/en/get-started).
 
@@ -16,7 +16,7 @@
 
 | Feature | Claude Opus 4.6 | Claude Sonnet 4.6 | Claude Haiku 4.5 |
 |:--------|:----------------|:------------------|:-----------------|
-| **Description** | Our most intelligent model for building agents and coding | Our best combination of speed and intelligence | Our fastest model with near-frontier intelligence |
+| **Description** | The most intelligent model for building agents and coding | The best combination of speed and intelligence | The fastest model with near-frontier intelligence |
 | **Claude API ID** | claude-opus-4-6 | claude-sonnet-4-6 | claude-haiku-4-5-20251001 |
 | **Claude API alias** | claude-opus-4-6 | claude-sonnet-4-6 | claude-haiku-4-5 |
 | **AWS Bedrock ID** | anthropic.claude-opus-4-6-v1 | anthropic.claude-sonnet-4-6 | anthropic.claude-haiku-4-5-20251001-v1:0 |
@@ -31,7 +31,7 @@
 | **Reliable knowledge cutoff** | May 2025<sup>2</sup> | Aug 2025<sup>2</sup> | Feb 2025 |
 | **Training data cutoff** | Aug 2025 | Jan 2026 | Jul 2025 |
 
-_<sup>1 - See our [pricing page](/docs/en/about-claude/pricing) for complete pricing information including batch API discounts, prompt caching rates, extended thinking costs, and vision processing fees.</sup>_
+_<sup>1 - See the [pricing page](/docs/en/about-claude/pricing) for complete pricing information including batch API discounts, prompt caching rates, extended thinking costs, and vision processing fees.</sup>_
 
 _<sup>2 - **Reliable knowledge cutoff** indicates the date through which a model's knowledge is most extensive and reliable. **Training data cutoff** is the broader date range of training data used. For more information, see [Anthropic's Transparency Hub](https://www.anthropic.com/transparency).</sup>_
 
@@ -43,7 +43,7 @@
 
 <section title="Legacy models">
 
-The following models are still available but we recommend migrating to current models for improved performance:
+The following models are still available. Consider migrating to current models for improved performance:
 
 | Feature | Claude Sonnet 4.5 | Claude Opus 4.5 | Claude Opus 4.1 | Claude Sonnet 4 | Claude Sonnet 3.7 | Claude Opus 4 | Claude Haiku 3 |
 |:--------|:------------------|:----------------|:----------------|:----------------|:------------------|:--------------|:---------------|
@@ -66,7 +66,7 @@
 
 _<sup>3 - Some Haiku models have a single training data cutoff date.</sup>_
 
-_<sup>4 - Include the beta header `output-128k-2025-02-19` in your API request to increase the maximum output token length to 128K tokens for Claude Sonnet 3.7. We strongly suggest using our [streaming Messages API](/docs/en/build-with-claude/streaming) to avoid timeouts when generating longer outputs. See our guidance on [long requests](/docs/en/api/errors#long-requests) for more details.</sup>_
+_<sup>4 - Include the beta header `output-128k-2025-02-19` in your API request to increase the maximum output token length to 128K tokens for Claude Sonnet 3.7. Use the [streaming Messages API](/docs/en/build-with-claude/streaming) to avoid timeouts when generating longer outputs. See the guidance on [long requests](/docs/en/api/errors#long-requests) for more details.</sup>_
 
 </section>
 
@@ -76,17 +76,17 @@
 - **Performance**: Top-tier results in reasoning, coding, multilingual tasks, long-context handling, honesty, and image processing. See the [Claude 4 blog post](http://www.anthropic.com/news/claude-4) for more information.
 - **Engaging responses**: Claude models are ideal for applications that require rich, human-like interactions.
 
-    - If you prefer more concise responses, you can adjust your prompts to guide the model toward the desired output length. Refer to our [prompt engineering guides](/docs/en/build-with-claude/prompt-engineering) for details.
-    - For prompting best practices, see our [prompting best practices guide](/docs/en/build-with-claude/prompt-engineering/claude-prompting-best-practices).
+    - If you prefer more concise responses, you can adjust your prompts to guide the model toward the desired output length. Refer to the [prompt engineering guides](/docs/en/build-with-claude/prompt-engineering) for details.
+    - For prompting best practices, see the [prompting best practices guide](/docs/en/build-with-claude/prompt-engineering/claude-prompting-best-practices).
 - **Output quality**: When migrating from previous model generations to Claude 4, you may notice larger improvements in overall performance.
 
 ## Migrating to Claude 4.6
 
-If you're currently using older Claude models, we recommend migrating to Claude Opus 4.6 to take advantage of improved intelligence and enhanced capabilities. For detailed migration instructions, see [Migrating to Claude 4.6](/docs/en/about-claude/models/migration-guide).
+If you're currently using older Claude models, consider migrating to Claude Opus 4.6 to take advantage of improved intelligence and enhanced capabilities. For detailed migration instructions, see [Migrating to Claude 4.6](/docs/en/about-claude/models/migration-guide).
 
 ## Get started with Claude
 
-If you're ready to start exploring what Claude can do for you, let's dive in! Whether you're a developer looking to integrate Claude into your applications or a user wanting to experience the power of AI firsthand, we've got you covered.
+If you're ready to start exploring what Claude can do for you, dive in! Whether you're a developer looking to integrate Claude into your applications or a user wanting to experience the power of AI firsthand, the following resources can help.
 
 <Note>Looking to chat with Claude? Visit [claude.ai](http://www.claude.ai)!</Note>
 
@@ -102,4 +102,4 @@
   </Card>
 </CardGroup>
 
-If you have any questions or need assistance, don't hesitate to reach out to our [support team](https://support.claude.com/) or consult the [Discord community](https://www.anthropic.com/discord).+If you have any questions or need assistance, don't hesitate to reach out to the [support team](https://support.claude.com/) or consult the [Discord community](https://www.anthropic.com/discord).