Sold by: Anthropic
Deployed on AWS
AWS Free Tier
Claude is our most powerful model and excels at complex reasoning tasks such as sophisticated dialogue or detailed content creation.
Overview
Claude is a next-generation AI assistant based on Anthropic's research into training helpful, honest, and harmless AI systems. Claude is capable of a wide variety of conversational and text processing tasks while maintaining a high degree of reliability and predictability. Use cases include summarization, search, creative and collaborative writing, Q&A, coding, and more. Early customers report that Claude is much less likely to produce harmful outputs, easier to converse with, and more steerable - making it more robust against prompt-based attacks. Claude can also take direction on personality, tone, and behavior - in English and many other languages.
Highlights
- Claude can take on a variety of roles in a dialogue. Provide details on the role and an FAQ for common questions, and Claude will engage in relevant, naturalistic back-and-forth conversation.
- With Constitutional AI built in, Claude uses a set of principles to shape its responses. We've heard from early customers that this helps manage risk and prevent prompt-based attacks.
- Claude can process extensive text including documents, emails, FAQs, chat transcripts, records, and more. Based on those inputs, Claude can then edit, rewrite, summarize, classify, extract structured data, do Q&A based on the content, plus a range of other actions.
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Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/unit |
|---|---|
Million Batch Input Tokens Global | $1.50 |
Million Batch Response Tokens Global | $7.50 |
Million Batch Input Tokens Long Context Global | $1.50 |
Million Batch Output Tokens Long Context Global | $7.50 |
Million Input Tokens Global | $3.00 |
Million Response Tokens Global | $15.00 |
Million Cache Read Input Tokens Global | $0.30 |
Million Cache Write Input Tokens Global | $3.75 |
Million 1 hour Cache Write Input Tokens Global | $6.00 |
Million Input Tokens Long Context Global | $3.00 |
Dimensions summary
You pay only for what you use, measured mostly per million tokens. Pricing splits input tokens from output (response) tokens, since they bill at different rates. A standard context tier and a Long Context tier apply, with Long Context covering larger prompts. You also see prompt caching options: cache reads, cache writes, and a 1-hour cache write, which change how repeated content is charged. Batch processing dimensions cover asynchronous jobs. Deployment scope splits Global from Regional CRIS routing. Reserved options bill per hour per 1,000 tokens per minute, over 1-month or 3-month commitments.
Top-of-mind questions for buyers
A token is a chunk of text the model reads or generates. Input tokens cover your prompt and any context. Output (response) tokens cover the model's reply. Each is metered per million tokens and billed at its own rate, so a verbose reply raises output charges independently of input.
Cache write charges apply when the model stores context for reuse. Cache read charges apply each time stored context is reused, at a lower rate than fresh input. A separate 1-hour cache write covers longer retention. Reusing content shifts charges from standard input toward the read rate.
Usage-based dimensions meter actual tokens processed, with no commitment. Reserved dimensions bill per hour for each 1,000 tokens per minute of committed throughput, over a 1-month or 3-month term. Reserved suits steady, predictable traffic; token metering suits variable or occasional workloads.
www.anthropic.com
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