Long-context planning
Claude is often used for longer documents and multi-step reasoning. Token counts help you decide whether to keep full context, compress it, or divide the content into smaller requests.
Anthropic prompt planning
Plan Anthropic Claude prompts, long documents, and chat transcripts with local token estimates and cost comparison.
A Claude token calculator helps you judge how much text a Claude request will consume before you send it. This matters for long-context workflows such as document review, research synthesis, customer-support analysis, and coding tasks. Paste the final prompt or document excerpt, review the token count, then compare estimated input and output cost against other model families.
Estimated Claude request cost = input tokens / 1,000,000 x input price, plus expected output tokens / 1,000,000 x output price.
Claude is often used for longer documents and multi-step reasoning. Token counts help you decide whether to keep full context, compress it, or divide the content into smaller requests.
Repeated instructions, large examples, and pasted documents can grow quickly. Use the count to trim repeated text while keeping the parts that affect answer quality.
The same token count can be compared across OpenAI, Anthropic, and Google models so you can choose the right balance of cost, context, and capability.
It focuses on Claude planning, but the calculator and pricing comparison can also help compare other LLM providers.
Yes. Input tokens come from the text you send, while output tokens depend on the answer length you request or expect.
No. The public browser calculator processes text locally and does not store the pasted content.
The main calculator at https://token-calculator.net/ is the fastest way to measure your exact text, compare model cost, and visualize token-sized text pieces in the browser.