Quick start
- Enter the request count for the period you care about, such as one day, one month, or one prototype test.
- Enter average input tokens per request, including system instructions, user text, retrieved context, chat history, and tool messages.
- Enter average output tokens per request, which is the model response length you expect.
- Enter current input and output prices per 1 million tokens from the provider rate card for the same model.
Best uses
Best when you already have a rough request count, token estimate, and current provider price card for the model you plan to test.
- Estimate the monthly cost of an AI support bot, writing helper, or internal tool.
- Compare two model price cards using the same token and request assumptions.
- Turn a token estimate into a rough budget before building a prototype.
- Explain why long prompts and long answers can cost different amounts.
What this calculator is solving
The AI Token Cost Calculator helps you do model-budget math without pretending any one price is permanent. You enter your own current input and output prices, then the calculator shows input cost, output cost, total cost, and cost per request.
Match each input label on the calculator to the request count, average input tokens, average output tokens, and current input/output prices for the same model and billing plan.
The formula in plain language
In plain language: Input cost = input tokens per request * request count / 1,000,000 * input price per 1M tokens. Output cost = output tokens per request * request count / 1,000,000 * output price per 1M tokens. Total cost = input cost + output cost. Cost per request = total cost / request count. The examples on the page are there so you can compare your inputs with a worked example before copying the answer.
For 10,000 requests with 1,200 input tokens and 500 output tokens per request, $2 input per 1M tokens and $8 output per 1M tokens gives $24 input cost plus $40 output cost. The total is $64, or $0.0064 per request.
How to read the answer
Read the total as a planning estimate. The input/output split tells you whether long prompts, retrieved context, or long answers are driving the cost.
- Total cost is the estimated bill for the requests you entered.
- Input token cost and output token cost are split so you can see which side drives the budget.
- Cost per request is useful when comparing models or deciding whether a feature can scale.
- If cost per request looks tiny, multiply it by real traffic before deciding it is safe.
Common mistakes to avoid
Most bad AI cost estimates come from stale price cards, mixing price units, forgetting hidden prompt/context tokens, or treating cached-token and batch pricing as if it were included automatically.
- Do not use old model prices from memory.
- Do not forget that long system prompts, retrieved context, and tool messages can be input tokens too.
- Do not assume cached tokens, batch discounts, free credits, taxes, or minimum charges are included.
- Do not compare two models unless the request count and token assumptions are the same.
- Do not treat a rough text token estimate as an exact bill. Check real usage logs once the feature runs.
Quick formula
The calculator keeps input and output separate because many AI providers charge different rates for each side.
Input cost = input tokens per request * request count / 1,000,000 * input price per 1M tokens. Output cost uses the same pattern with output tokens and output price. Total cost is both sides added together.
Example: support bot month
Say you expect 10,000 support-bot requests in a month. Each request sends about 1,200 input tokens and gets about 500 output tokens back. You enter $2 per 1M input tokens and $8 per 1M output tokens as example prices.
The input side is 12,000,000 tokens, so input cost is $24. The output side is 5,000,000 tokens, so output cost is $40. Total cost is $64, and cost per request is $0.0064.
- If output answers get longer, the output cost rises first.
- If retrieved context or chat history grows, the input cost rises first.
- If traffic doubles and everything else stays the same, the estimated bill doubles.
Two more sanity checks
A small prototype with 1,000 requests, 300 input tokens, 150 output tokens, $0.15 input, and $0.60 output per 1M comes out to $0.135 total. That is useful for a tiny test, but it does not predict production traffic.
A long-summary workflow with 2,000 requests, 8,000 input tokens, 700 output tokens, $1.25 input, and $5 output per 1M comes out to $27 total. That shows how long documents can make input cost the main driver.
Where estimates drift
Real bills can move away from the estimate when the model provider changes prices, your app adds hidden system text, users paste longer content, or the feature retries failed requests.
Cached-token pricing, batch jobs, free credits, plan minimums, taxes, image/audio/video tools, retrieval systems, hosting, and monitoring are separate from this token-only calculation unless you adjust the inputs yourself.
Useful related checks
AI cost planning often starts with token length, then expands into general API pricing and content workflow choices. Use the related tools when you need a rough prompt length, a provider-neutral API cost estimate, or a shorter text sample.
Research and references
These references help check token counting, tokenizer behavior, and the people-first writing standard behind this guide.
Worked examples for AI Token Cost Calculator
$24 input + $40 output = $64 total, or $0.0064 per request
$0.045 input + $0.09 output = $0.135 total
$20 input + $7 output = $27 total
FAQ in plain language
When should I use the AI Token Cost Calculator?
Use it when your task matches one of these common needs: Estimate the monthly cost of an AI support bot, writing helper, or internal tool. Compare two model price cards using the same token and request assumptions. It works best when you already know the measurements, amounts, units, or options the page asks for.
What is the AI Token Cost Calculator doing with my inputs?
In plain language: Input cost = input tokens per request * request count / 1,000,000 * input price per 1M tokens. Output cost = output tokens per request * request count / 1,000,000 * output price per 1M tokens. Total cost = input cost + output cost. Cost per request = total cost / request count. The examples on the page are there so you can compare your inputs with a worked example before copying the answer.
What do the main AI Token Cost Calculator inputs mean?
Requests: How many model calls you want to estimate, such as one day, one month, or one product test. Input tokens per request: Tokens sent to the model each time, including instructions, prompt text, context, and tool messages. Output tokens per request: Tokens generated by the model in each response. Input price per 1M tokens: The current provider rate for one million input tokens for the model you plan to use. Output price per 1M tokens: The current provider rate for one million output tokens. This is often different from the input price.
How should I read the AI Token Cost Calculator answer?
Read the AI result as a best-effort clue or draft. Look at labels, scores, notes, and warnings together, then compare the result with the original text or image before using it anywhere important.
What should I double-check before trusting the answer?
This is a planning estimate, not a live provider bill. AI providers can change prices, count cached tokens differently, round usage, add batch discounts, include tool-call costs, or apply credits and taxes. Use the current provider rate card and your real usage logs for budgets that matter. Also check the unit, scale, mode, and result limit because small input changes can change the answer.
Why does the calculator ask me to enter model prices?
Model prices change and different providers charge different rates for input, output, cached input, fine-tuned models, batch jobs, and special tools. Entering the rate yourself keeps the calculator useful without pretending one price is always current.
Does this count cached tokens or special model discounts?
No. It is a plain estimate for normal input and output tokens. If your provider has cached-token pricing, batch discounts, minimum charges, or credits, calculate those separately or adjust the prices you enter.
Related tools
- Prompt Token Estimator Estimate prompt tokens from text length with a visible rough range and tokenizer warning.
- API Pricing Calculator Estimate API usage cost from request count, units per request, unit price, fees, and overhead.
- Text Summarizer Summarize pasted notes into a browser-generated draft.
Keep exploring
If this guide is close but not exact, these links keep you near the same kind of problem.
- AI Tools Browse the full category for related tools that help with the same job.
- All free tools Search the complete Access Free Tools library by task, category, or tool name.
- All calculator and utility guides Find more plain-language examples, formulas, mistakes, and result explanations.
- Free calculator resources Start here when you are not sure which calculator page fits.
Privacy and copying results
Recent answers stay visible only while you work in the current browser tab. They are not sent to a server.
Use Copy answer when you want to save the inputs and result in notes, homework, a message, or a project list. Check the units, labels, and limits before copying.