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Models overview

Models & pricingModels

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 4.8 for the most complex tasks. It is Anthropic's most capable model for complex reasoning, long-horizon agentic coding, and high-autonomy work.

All current Claude models support text and image input, text output, multilingual capabilities, and vision. Models are available through the Claude API, Claude Platform on AWS, Amazon Bedrock, Vertex AI, and Microsoft Foundry.

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

Latest models comparison

Feature	Claude Opus 4.8	Claude Sonnet 4.6	Claude Haiku 4.5
Description	Anthropic's most capable 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-4-8	claude-sonnet-4-6	claude-haiku-4-5-20251001
Claude API alias	claude-opus-4-8	claude-sonnet-4-6	claude-haiku-4-5
AWS Bedrock ID	anthropic.claude-opus-4-8³	anthropic.claude-sonnet-4-6	anthropic.claude-haiku-4-5-20251001-v1:0
Vertex AI ID	claude-opus-4-8	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	No	Yes	Yes
Adaptive thinking	Yes	Yes	No
Priority Tier	Yes	Yes	Yes
Comparative latency	Moderate	Fast	Fastest
Context window	1M tokens⁴	1M tokens	200k tokens
Max output	128k tokens	64k tokens	64k tokens
Reliable knowledge cutoff	Jan 2026²	Aug 2025²	Feb 2025
Training data cutoff	Jan 2026	Jan 2026	Jul 2025

^{1 - See Pricing for complete pricing information including Batch API discounts and prompt caching rates.}

^{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.}

^{3 - Claude Opus 4.8 is available on Bedrock through Claude in Amazon Bedrock (the Messages-API Bedrock endpoint).}

^{4 - On Microsoft Foundry, Claude Opus 4.8 has a 200k-token context window. See Claude in Microsoft Foundry.}

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.

Every Claude model ID is a pinned snapshot. Models with a date in the ID (for example, 20250929) 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.

Starting with Claude Sonnet 4.5 and all subsequent models (including Claude Sonnet 4.6), Bedrock offers two endpoint types: global endpoints (dynamic routing for maximum availability) and regional endpoints (guaranteed data routing through specific geographic regions). Vertex AI offers three endpoint types: global endpoints, multi-region endpoints (dynamic routing within a geographic area), and regional endpoints. For more information, see Cloud platform pricing.

Claude Platform on AWS uses the same model IDs as the Claude API (for example, claude-opus-4-6), not Bedrock-style IDs. Model lifecycle on Claude Platform on AWS follows Anthropic's first-party Model deprecations, not Bedrock's. See Available models for the model list.

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.

On Claude Opus 4.8, the effort parameter defaults to high on all surfaces, including the Claude API and Claude Code. Set effort explicitly to use a different level. See Effort for guidance on choosing a level.

The Max output values above apply to the synchronous Messages API. On the Message Batches API, Claude Opus 4.8, 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.

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 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 Opus 4.8

If you're currently using Claude Opus 4.7 or earlier Claude models, see Migrating to Claude Opus 4.8.

Migrating to Claude Opus 4.7

If you're currently using Claude Opus 4.6 or older Claude models, see Migrating to Claude Opus 4.7.

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.

Claude Console

Craft and test powerful prompts directly in your browser.

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 & pricingModels

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

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

Latest models comparison

Feature	Claude Opus 4.8	Claude Sonnet 4.6	Claude Haiku 4.5
Description	Anthropic's most capable 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-4-8	claude-sonnet-4-6	claude-haiku-4-5-20251001
Claude API alias	claude-opus-4-8	claude-sonnet-4-6	claude-haiku-4-5
AWS Bedrock ID	anthropic.claude-opus-4-8³	anthropic.claude-sonnet-4-6	anthropic.claude-haiku-4-5-20251001-v1:0
Vertex AI ID	claude-opus-4-8	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	No	Yes	Yes
Adaptive thinking	Yes	Yes	No
Priority Tier	Yes	Yes	Yes
Comparative latency	Moderate	Fast	Fastest
Context window	1M tokens⁴	1M tokens	200k tokens
Max output	128k tokens	64k tokens	64k tokens
Reliable knowledge cutoff	Jan 2026²	Aug 2025²	Feb 2025
Training data cutoff	Jan 2026	Jan 2026	Jul 2025

^{1 - See Pricing for complete pricing information including Batch API discounts and prompt caching rates.}

^{3 - Claude Opus 4.8 is available on Bedrock through Claude in Amazon Bedrock (the Messages-API Bedrock endpoint).}

^{4 - On Microsoft Foundry, Claude Opus 4.8 has a 200k-token context window. See Claude in Microsoft Foundry.}

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 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 Opus 4.8

If you're currently using Claude Opus 4.7 or earlier Claude models, see Migrating to Claude Opus 4.8.

Migrating to Claude Opus 4.7

If you're currently using Claude Opus 4.6 or older Claude models, see Migrating to Claude Opus 4.7.

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.

Claude Console

Craft and test powerful prompts directly in your browser.

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?

May	JUN	Jul
	03
2025	2026	2027

Choosing a model

Latest models comparison

Legacy models

Prompt and output performance

Migrating to Claude Opus 4.8

Migrating to Claude Opus 4.7

Get started with Claude

Choosing a model

Latest models comparison

Legacy models

Prompt and output performance

Migrating to Claude Opus 4.8

Migrating to Claude Opus 4.7

Get started with Claude