Updated · Methodology: named formula library
AI Token Estimator
Estimate token count and cost for AI model prompts.
Value A to Value B = 1:1 (1 as decimal).
Why This Calculation Matters
The AI Token Estimator makes AI spend predictable. Usage-based pricing can scale fast, model the math upfront so you're budgeting with reality, not surprise bills.
How to Use This Calculator
- Enter your values in the input fields, each one has a label and help text explaining what to type.
- Results appear instantly as you type; there's no "calculate" button to press.
- Change any input to compare scenarios side by side.
All math happens in your browser. Nothing you type is sent to a server, saved, or shared.
Cost Optimization Tips
- Use cheaper models for simple or bulk tasks, and premium models only when quality matters.
- Implement prompt caching where supported to cut repeat-prefix costs.
- Batch requests when your use case allows.
- Shorten prompts, tokens you don't send are tokens you don't pay for.
How to Use the AI Token Estimator
Enter the required values in the input fields on the left. Results update instantly on the right as you adjust your inputs.
Understanding Your Results
Review each output value and its description to understand how your inputs affect the outcome. Adjust values to compare different scenarios.
Tips
- All calculations happen in your browser, your data is never stored
- Bookmark this page for quick access
- Try different values to see how results change
Formula
Cost per request = (input tokens / 1M × input price) + (output tokens / 1M × output price). Monthly cost = cost per request × requests per day × 30.
Worked Example
1 Value A to 1 Value B
- a
- 1
- b
- 1
- Result
- 1:1 (1.00)
1 / 1 = 1.00. Simplified: 1:1.
When to Use This Calculator
- Budget LLM spend before shipping a feature or deploying at scale.
- Compare providers on a cost-per-request basis instead of sticker price.
- Estimate inference cost for capacity planning and pricing.
Limitations & Common Mistakes
- Provider pricing changes frequently, check the provider's official pricing page for current rates.
- Token counts are estimated from text length; exact counts require the provider's tokenizer.
- Usage-based costs compound with retries, context caching, and multi-turn conversations.
Frequently Asked Questions
How is the AI Token Estimator computed?
Value A divided by Value B, plus a simplified ratio (e.g., 4:3) using greatest common divisor. Both decimal and ratio forms are useful in different contexts: decimal for math, ratio form for comparisons or recipe scaling.
What does Value A:Value B mean?
It's a comparison: for every Value B unit, you have a corresponding amount of Value A. Useful when the absolute numbers matter less than the proportion (e.g., reading 8:1 LTV/CAC immediately tells you the unit economics are healthy without needing the dollar amounts).
Why simplify the ratio?
4:3 is more readable than 200:150. The simplified form (using greatest common divisor) preserves the proportion while making it easier to interpret. Common simplified ratios: 16:9 (widescreen), 4:3 (legacy displays), 3:1 (LTV:CAC for SaaS).
When is a ratio more useful than the absolute values?
Comparison across scales. A $1B company and a $1M company can both have a 3:1 LTV:CAC; the ratio reveals comparable unit economics regardless of scale. Use ratios for benchmarking; use absolute numbers for budgeting.
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Source: BLS Consumer Price Index, 2026.