Long-context planning
Account for larger prompts used in document review, research, and analysis workflows.
Claude cost planning
Claude API Cost Calculator
Map Claude API usage into monthly cost ranges for assistants, long-context analysis, document review, and customer-facing AI features.
Estimate Claude costs from real workload patterns
Claude API spend depends on model selection, prompt size, generated output, and how often users trigger requests. Use this guide to shape a practical estimate before comparing scenarios in the calculator.
Calculator shortcut
Use the calculator with Anthropic selected, then adjust requests and token counts to match your Claude workload.
Run a Claude API estimateBenefits
Assistant economics
Translate repeated Claude conversations into per-user and monthly cost expectations.
Scenario comparison
Test low, expected, and high usage cases before adding Claude-powered features to a roadmap.
Use cases
Document assistants
Estimate usage for uploads, summaries, extraction, and knowledge-base responses.
Customer support
Plan Claude costs for triage, draft replies, and guided self-service experiences.
Research workflows
Budget for repeated analysis tasks where prompts and outputs may both be sizable.
Pricing estimation warning
Claude and Anthropic API prices may change. Treat calculator results as planning estimates and verify current pricing with the provider.
Launch checklist
Make the estimate more useful
A few practical checks help developers and founders avoid surprises after real users arrive.
Common cost mistakes
Forgetting retries, long context, power users, and generated output length.
How to reduce AI API costs
Shorten prompts, cap output length, cache repeated answers, and route simple tasks to cheaper models.
Cheaper vs stronger models
Use stronger models when accuracy or reasoning changes the outcome; use cheaper models for routine work.
Before launching an AI feature
Ask who triggers requests, how often, how long responses are, and what happens during usage spikes.
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FAQ
How should I estimate Claude prompt tokens?
Start with the average size of the instructions, user message, retrieved context, and documents you send with each request.
Does long context always mean high cost?
Not always, but larger prompts usually increase input-token spend, so long-context features should be estimated separately from short chat turns.
Should I estimate Claude per user or per request?
Use both. Per-request estimates explain unit economics, while per-user monthly estimates are easier for SaaS planning.