# Models overview¶
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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.¶
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## Choosing a model¶
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If you're unsure which model to use, consider starting with **Claude Opus 4.7** for the most complex tasks. It is our most capable generally available model, with a step-change improvement in agentic coding over Claude Opus 4.6.¶
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All current Claude models support text and image input, text output, multilingual capabilities, and vision. Models are available via the Claude API, Amazon Bedrock, Vertex AI, and Microsoft Foundry.¶
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Once you've picked a model, [learn how to make your first API call](/docs/en/get-started).¶
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### Latest models comparison¶
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| Feature | Claude Opus 4.7 | Claude Sonnet 4.6 | Claude Haiku 4.5 |¶
|:--------|:--------------|:------------------|:-----------------|¶
| **Description** | Our most capable generally available model for complex reasoning and agentic coding | The best combination of speed and intelligence | The fastest model with near-frontier intelligence |¶
| **Claude API ID** | claude-opus-4-7 | claude-sonnet-4-6 | claude-haiku-4-5-20251001 |¶
| **Claude API alias** | claude-opus-4-7 | claude-sonnet-4-6 | claude-haiku-4-5 |¶
| **AWS Bedrock ID** | anthropic.claude-opus-4-7<sup>3</sup> | anthropic.claude-sonnet-4-6 | anthropic.claude-haiku-4-5-20251001-v1:0 |¶
| **GCP Vertex AI ID** | claude-opus-4-7 | 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)** | No | 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="~555k words \ ~2.5M unicode characters (Opus 4.7 uses a new tokenizer)">1M tokens</Tooltip> | <Tooltip tooltipContent="~750k words \ ~3.4M unicode characters">1M tokens</Tooltip> | <Tooltip tooltipContent="~150k words \ ~680k unicode characters">200k tokens</Tooltip> |¶
| **Max output** | 128k tokens | 64k tokens | 64k tokens |¶
| **Reliable knowledge cutoff** | Jan 2026<sup>2</sup> | Aug 2025<sup>2</sup> | Feb 2025 |¶
| **Training data cutoff** | Jan 2026 | Jan 2026 | Jul 2025 |¶
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_<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>_¶
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_<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>_¶
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_<sup>3 - Claude Opus 4.7 on AWS is available through [Claude in Amazon Bedrock](/docs/en/build-with-claude/claude-in-amazon-bedrock) (the Messages-API Bedrock endpoint).</sup>_¶
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<Info>¶
[Claude Mythos Preview](https://anthropic.com/glasswing) is offered separately as a research preview model for defensive cybersecurity workflows as part of [Project Glasswing](https://anthropic.com/glasswing). Access is invitation-only and there is no self-serve sign-up.¶
</Info>¶
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<Note>Models with the same snapshot date (e.g.Every Claude model ID is a pinned snapshot. Models with a date in the ID (for example, `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 environments50929`) are fixed to that specific release. Starting with the Claude 4.6 generation, model IDs use a dateless format that is also a pinned snapshot, not an evergreen pointer. For models before the 4.6 generation, entries in the Claude API alias column are convenience pointers that resolve to a dated model ID. For details on the naming convention and how versioning works, see [Model IDs and versioning](/docs/en/about-claude/models/model-ids-and-versions).</Note>¶
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<Note>Starting with **Claude Sonnet 4.5 and all subsequent models** (including Claude Sonnet 4.6), AWS Bedrock offers two endpoint types: **global endpoints** (dynamic routing for maximum availability) and **regional endpoints** (guaranteed data routing through specific geographic regions). Google Vertex AI offers three endpoint types: global endpoints, **multi-region endpoints** (dynamic routing within a geographic area), and regional endpoints. For more information, see the [third-party platform pricing section](/docs/en/about-claude/pricing#third-party-platform-pricing).</Note>¶
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<Tip>¶
You can query model capabilities and token limits programmatically with the [Models API](/docs/en/api/models/list). The response includes `max_input_tokens`, `max_tokens`, and a `capabilities` object for every available model.¶
</Tip>¶
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<Note>¶
The Max output values above apply to the synchronous Messages API. On the [Message Batches API](/docs/en/build-with-claude/batch-processing#extended-output-beta), Opus 4.7, Opus 4.6, and Sonnet 4.6 support up to 300k output tokens by using the `output-300k-2026-03-24` beta header.¶
</Note>¶
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<section title="Legacy models">¶
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The following models are still available. Consider migrating to current models for improved performance:¶
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| Feature | Claude Opus 4.6 | Claude Sonnet 4.5 | Claude Opus 4.5 | Claude Opus 4.1 | Claude Sonnet 4 (deprecated) | Claude Opus 4 (deprecated) |¶
|:--------|:----------------|:------------------|:----------------|:----------------|:----------------|:--------------|¶
| **Claude API ID** | claude-opus-4-6 | claude-sonnet-4-5-20250929 | claude-opus-4-5-20251101 | claude-opus-4-1-20250805 | claude-sonnet-4-20250514 | claude-opus-4-20250514 |¶
| **Claude API alias** | claude-opus-4-6 | claude-sonnet-4-5 | claude-opus-4-5 | claude-opus-4-1 | claude-sonnet-4-0 | claude-opus-4-0 |¶
| **AWS Bedrock ID** | anthropic.claude-opus-4-6-v1 | 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-opus-4-20250514-v1:0 |¶
| **GCP Vertex AI ID** | claude-opus-4-6 | claude-sonnet-4-5@20250929 | claude-opus-4-5@20251101 | claude-opus-4-1@20250805 | claude-sonnet-4@20250514 | claude-opus-4@20250514 |¶
| **Pricing** | \$5 / input MTok<br/>\$25 / output MTok | \$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 | \$15 / input MTok<br/>\$75 / output MTok |¶
| **[Extended thinking](/docs/en/build-with-claude/extended-thinking)** | Yes | Yes | Yes | Yes | Yes | Yes |¶
| **[Priority Tier](/docs/en/api/service-tiers)** | Yes | Yes | Yes | Yes | Yes | Yes |¶
| **Comparative latency** | Moderate | Fast | Moderate | Moderate | Fast | Moderate |¶
| **Context window** | <Tooltip tooltipContent="~750k words \ ~3.4M unicode characters">1M tokens</Tooltip> | <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> | <Tooltip tooltipContent="~150k words \ ~680k unicode characters">200k tokens</Tooltip> | <Tooltip tooltipContent="~150k words \ ~680k unicode characters">200k tokens</Tooltip> |¶
| **Max output** | 128k tokens | 64k tokens | 64k tokens | 32k tokens | 64k tokens | 32k tokens |¶
| **Reliable knowledge cutoff** | May 2025<sup>1</sup> | Jan 2025<sup>1</sup> | May 2025<sup>1</sup> | Jan 2025<sup>1</sup> | Jan 2025<sup>1</sup> | Jan 2025<sup>1</sup> |¶
| **Training data cutoff** | Aug 2025 | Jul 2025 | Aug 2025 | Mar 2025 | Mar 2025 | Mar 2025 |¶
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<Warning>¶
Claude Sonnet 4 (`claude-sonnet-4-20250514`) and Claude Opus 4 (`claude-opus-4-20250514`) are deprecated and will be retired on June 15, 2026. Migrate to [Claude Sonnet 4.6](/docs/en/about-claude/models/overview#latest-models-comparison) and [Claude Opus 4.7](/docs/en/about-claude/models/overview#latest-models-comparison) respectively before the retirement date.¶
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See [model deprecations](/docs/en/about-claude/model-deprecations) for details.¶
</Warning>¶
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_<sup>1 - **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>_¶
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</section>¶
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## Prompt and output performance¶
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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.¶
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- 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.¶
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## Migrating to Claude Opus 4.7¶
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If you're currently using Claude Opus 4.6 or older Claude models, consider migrating to Claude Opus 4.7 to take advantage of improved intelligence and a step-change jump in agentic coding. For detailed migration instructions, see [Migrating to Claude Opus 4.7](/docs/en/about-claude/models/migration-guide).¶
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## Get started with Claude¶
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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.¶
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<Note>Looking to chat with Claude? Visit [claude.ai](http://www.claude.ai)!</Note>¶
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<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>¶
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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).