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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You pay only for what you use, measured per million tokens. Charges split into input tokens (what you send) and response tokens (what the model returns). Prompt caching adds separate cache read and cache write rates. Batch processing has its own input and response rates for high-volume jobs. Long Context rates apply to larger prompts. Global variants apply to region-flexible routing. Each token type is billed independently, so your cost reflects the mix of standard, cached, batched, long-context, and global usage you run.
Top-of-mind questions for buyers
What counts as a token for input and response billing?
A token is a chunk of text the model processes, roughly a few characters or part of a word. Input tokens are what you send in your prompt. Response tokens are what the model generates back. Both are counted per million and billed separately on the same invoice.
How do cache read and cache write rates change my cost versus standard input tokens?
Prompt caching stores repeated prompt content so it need not be reprocessed. Cache write tokens meter storing that content. Cache read tokens meter reusing it on later calls. These carry rates separate from standard input tokens, so reused context is billed under the cache dimensions instead.
When do the Batch, Long Context, and Global token rates apply to my usage?
Batch rates apply when you submit high-volume jobs through batch processing. Long Context rates apply when your prompt exceeds standard context size. Global rates apply when you use region-flexible routing. Each variant meters input and response tokens independently, so your bill reflects which mode each request runs under.
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