Confirm the prompt is present and token estimates are available.
A token calculator is best for comparing prompt size and estimated output cost. Final billing still depends on model, caching, discounts, and current pricing.
Examples are prefilled, and supported operations run in the browser where possible.
Prompt cost is hard to judge from character count alone. This tool estimates tokens for English, Korean, and Japanese text so you can compare long prompts, repeated examples, and expected output length before sending a request.
Summarize the following customer request politely and write three follow-up questions to check refund eligibility.
Turn the meeting notes below into a table with product requirements, decisions, owners, and action items.
Tokens are the units a model uses internally. English, Korean, Japanese, symbols, and spacing can split differently.
No. It is an estimate. Billing can change with model choice, caching, discounts, output length, and current pricing.
Start with repeated context, duplicate examples, and unnecessary output formatting, then compare result quality.
Before sending a prompt, review input, output reserve, context budget, and repeated billing risk together.
Confirm the prompt is present and token estimates are available.
Check that expected output tokens match the answer length you plan to request.
Review whether input plus output moves into long-context territory and split into chunks if needed.
Look beyond one request and check cumulative cost for automation, batches, or repeated user runs.
| Model | Input | Output | Per request | Repeat total |
|---|---|---|---|---|
| Example small model | $0.000003 | $0.000006 | $0.000009 | $0.000009 |
| Example standard model | $0.000095 | $0.000150 | $0.000245 | $0.000245 |
| Example balanced model | $0.000005 | $0.000010 | $0.000015 | $0.000015 |
Token counts use an OpenAI-style tokenizer estimate. Cost rows are example rates for comparison only; final billing and model prices must be checked against the provider's current pricing page.