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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 4.7 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.

    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.

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

    Latest models comparison

    FeatureClaude Opus 4.7Claude Sonnet 4.6Claude Haiku 4.5
    DescriptionOur most capable generally available model for complex reasoning and agentic codingThe best combination of speed and intelligenceThe fastest model with near-frontier intelligence
    Claude API IDclaude-opus-4-7claude-sonnet-4-6claude-haiku-4-5-20251001
    Claude API aliasclaude-opus-4-7claude-sonnet-4-6claude-haiku-4-5
    AWS Bedrock IDanthropic.claude-opus-4-73anthropic.claude-sonnet-4-6anthropic.claude-haiku-4-5-20251001-v1:0
    GCP Vertex AI IDclaude-opus-4-7claude-sonnet-4-6claude-haiku-4-5@20251001
    Pricing1$5 / input MTok
    $25 / output MTok
    $3 / input MTok
    $15 / output MTok
    $1 / input MTok
    $5 / output MTok
    Extended thinkingNoYesYes
    Adaptive thinkingYesYesNo
    Priority TierYesYesYes
    Comparative latencyModerateFastFastest
    Context window1M tokens1M tokens200k tokens
    Max output128k tokens64k tokens64k tokens
    Reliable knowledge cutoffJan 20262Aug 20252Feb 2025
    Training data cutoffJan 2026Jan 2026Jul 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.

    3 - Claude Opus 4.7 on AWS is available through Claude in Amazon Bedrock (the Messages-API Bedrock endpoint).

    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 4.7, 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 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 Opus 4.7

    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.

    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?

    • Choosing a model
    • Latest models comparison
    • Prompt and output performance
    • Migrating to Claude Opus 4.7
    • Get started with Claude