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Models

Models overview

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, consider starting with Claude Opus 4.6 for the most complex tasks. It is the most intelligent broadly available 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 Claude API, AWS Bedrock, and Google Vertex AI.

Once you've picked a model, learn how to make your first API call.

Latest models comparison

Feature	Claude Opus 4.6	Claude Sonnet 4.6	Claude Haiku 4.5
Description	The most intelligent broadly available model for 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
GCP Vertex AI ID	claude-opus-4-6	claude-sonnet-4-6	claude-haiku-4-5@20251001
Pricing¹	$5 / input MTok $25 / output MTok	$3 / input MTok $15 / output MTok	$1 / input MTok $5 / output MTok
Extended thinking	Yes	Yes	Yes
Adaptive thinking	Yes	Yes	No
Priority Tier	Yes	Yes	Yes
Comparative latency	Moderate	Fast	Fastest
Context window	1M tokens	1M tokens	200k tokens
Max output	128k tokens	64k tokens	64k tokens
Reliable knowledge cutoff	May 2025²	Aug 2025²	Feb 2025
Training data cutoff	Aug 2025	Jan 2026	Jul 2025

^{1 - See the pricing page for complete pricing information including batch API discounts, prompt caching rates, extended thinking costs, and vision processing fees.}

^{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.}

Claude Mythos Preview is offered separately as a research preview model for defensive cybersecurity workflows as part of Project Glasswing. Access is invitation-only and there is no self-serve sign-up.

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.

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.

You can query model capabilities and token limits programmatically with the Models API. The response includes max_input_tokens, max_tokens, and a capabilities object for every available model.

The Max output values above apply to the synchronous Messages API. On the Message Batches API, Opus 4.6 and Sonnet 4.6 support up to 300k output tokens by using the output-300k-2026-03-24 beta header.

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 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 the prompt engineering guides for details.
- For prompting best practices, see the prompting best practices guide.
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, 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.

Get started with Claude

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.

Looking to chat with Claude? Visit claude.ai!

Intro to Claude

Explore Claude's capabilities and development flow.

Quickstart

Learn how to make your first API call in minutes.

If you have any questions or need assistance, don't hesitate to reach out to the support team or consult the Discord community.

Was this page helpful?

Models

Models overview

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

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.

Latest models comparison

Feature	Claude Opus 4.6	Claude Sonnet 4.6	Claude Haiku 4.5
Description	The most intelligent broadly available model for 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
GCP Vertex AI ID	claude-opus-4-6	claude-sonnet-4-6	claude-haiku-4-5@20251001
Pricing¹	$5 / input MTok $25 / output MTok	$3 / input MTok $15 / output MTok	$1 / input MTok $5 / output MTok
Extended thinking	Yes	Yes	Yes
Adaptive thinking	Yes	Yes	No
Priority Tier	Yes	Yes	Yes
Comparative latency	Moderate	Fast	Fastest
Context window	1M tokens	1M tokens	200k tokens
Max output	128k tokens	64k tokens	64k tokens
Reliable knowledge cutoff	May 2025²	Aug 2025²	Feb 2025
Training data cutoff	Aug 2025	Jan 2026	Jul 2025

^{1 - See the pricing page for complete pricing information including batch API discounts, prompt caching rates, extended thinking costs, and vision processing fees.}

You can query model capabilities and token limits programmatically with the Models API. The response includes max_input_tokens, max_tokens, and a capabilities object for every available model.

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 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 the prompt engineering guides for details.
- For prompting best practices, see the prompting best practices guide.
Output quality: When migrating from previous model generations to Claude 4, you may notice larger improvements in overall performance.

Migrating to Claude 4.6

Get started with Claude

Looking to chat with Claude? Visit claude.ai!

Intro to Claude

Explore Claude's capabilities and development flow.

Quickstart

Learn how to make your first API call in minutes.

If you have any questions or need assistance, don't hesitate to reach out to the support team or consult the Discord community.

Was this page helpful?

Mar	APR	May
	09
2025	2026	2027

Choosing a model

Latest models comparison

Legacy models

Prompt and output performance

Migrating to Claude 4.6

Get started with Claude

Choosing a model

Latest models comparison

Legacy models

Prompt and output performance

Migrating to Claude 4.6

Get started with Claude