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.
5
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.
Details
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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 Input Tokens | $3.00 |
Million Response Tokens | $15.00 |
Million Input Tokens | $3.00 |
Million Response Tokens | $15.00 |
Million Input Tokens | $3.00 |
Million Response Tokens | $15.00 |
Million batch input tokens | $1.50 |
Million batch input tokens | $1.50 |
Million batch output tokens | $7.50 |
Million batch output tokens | $7.50 |
Dimensions summary
You pay only for what you use, billed per million tokens. On-demand pricing splits into input tokens and response tokens, so you are charged separately for what you send and what the model returns. Batch processing offers separate input and response token rates for large, non-real-time jobs. Prompt caching adds two more rates: cache read tokens and cache write tokens. If you need steady capacity, provisioned throughput is billed hourly with three commitment options: no commitment, one-month, or six-month terms. Rates also vary by AWS region across these categories.
Top-of-mind questions for buyers
Input tokens are the text you send to the model, including prompts and context. Response tokens are the text the model generates back. You are billed separately for each. Tokens are chunks of text; roughly a few characters each. Both meter the volume of text processed.
Caching splits into two rates. Cache write tokens cover storing content for reuse. Cache read tokens cover retrieving that stored content on later requests. Reused content is billed at the cache read rate instead of the standard input rate, which lowers cost for repeated context.
Provisioned throughput bills by the hour for reserved capacity, not by tokens processed. You pay for the committed hours whether or not you send traffic. No-commit, one-month, and six-month terms set how long you hold that capacity. Idle time within the term still accrues the hourly rate.
www.anthropic.com
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Customer reviews
Aziz
Best LLM
Reviewed on Nov 29, 2024
Review from a verified AWS customer
It is the best LLM I have ever used. Looking forward to use newer models from Anthropic. It is also very convenient to use it from directly AWS by simplifying the billing and token management.