API Cost Calculator – From Price Per 1,000 Units To Real-World Bills
The API Cost Calculator on MyTimeCalculator helps developers, founders and technical teams translate abstract pricing like “$2 per 1,000 tokens” into concrete per-request and monthly costs. Instead of guessing what an API bill might look like, you can plug in your actual traffic and usage patterns and see realistic ranges in seconds.
The calculator is flexible enough to handle token-based pricing for language models, per-call pricing for REST APIs, message-based chat platforms and many other usage-based billing schemes. As long as the provider charges per 1,000 units, you can model it here.
1. Understanding Price Per 1,000 Units
Many API providers quote a price per 1,000 units or per 1 million units. The “unit” depends on the product:
- Tokens for language and text-generation APIs.
- Requests or calls for REST and RPC APIs.
- Messages or events for chat and streaming services.
If an API costs $2 per 1,000 units, the cost per unit is simply $2 ÷ 1,000 = $0.002 per unit. Once you know that, you can scale up by the units used in each request or across a full month of traffic.
2. Converting To Per-Request Cost
To find per-request cost, you need the average number of units each call consumes. For a token-based model this could be the sum of input and output tokens; for a per-call API it is often one unit per request.
cost per request = cost per unit × units per request.
For example, if an API is $1.50 per 1,000 tokens and a typical call uses 750 tokens, the per-request cost is 1.50 ÷ 1,000 × 750 = $1.125. The Per-Request tab in the calculator automates this computation and also reports the cost per 1,000 requests at that average size.
3. Estimating Monthly API Cost
Most budgeting questions are monthly: how much will this API cost if we integrate it into a product with a given traffic pattern? To answer that, you can estimate the number of requests per day, multiply by days per month and translate that back into units.
monthly cost = (monthly units ÷ 1,000) × price per 1,000.
The Monthly Cost tab implements exactly this. It also shows the implied per-request and daily cost, which helps you understand how sensitive your bill is to changes in traffic or request size.
4. Comparing Two API Providers
API pricing pages often look similar on the surface, but small differences in price per 1,000 units or in the number of units a typical request consumes can add up quickly. One provider might be cheaper per unit but require more units per request, or vice versa.
The comparison tab in the calculator lets you:
- Enter a price per 1,000 units and typical units per request for API A.
- Do the same for API B.
- Specify your expected number of requests per month.
The tool then computes monthly cost for each API and reports the savings you would get by choosing the cheaper option at that usage level. This is particularly useful when evaluating multiple language models or similar services with slightly different pricing structures.
5. Token-Based Pricing For Language Models
For language APIs that bill per token, you can treat the unit as a token and use the same formulas. A common workflow is:
- Estimate the average number of input tokens based on prompt size.
- Estimate average output tokens based on expected response length.
- Add them to get total tokens per request.
- Use the API’s price per 1,000 tokens in the calculator.
This gives a much clearer picture of what each interaction costs, how that scales with user growth and how it compares to alternative models or configurations.
6. Building Safety Margins Into Your Budget
Any estimate depends on assumptions: how many users you have, how often they call the API and how big each request is. In practice, traffic can spike and requests can be larger than expected. A practical approach is to:
- Run the calculator with conservative baseline assumptions.
- Run a second scenario with 1.5× or 2× the traffic and request size.
- Use the higher figure as a buffer when planning budgets and limits.
This way, if your product grows faster than expected, your API costs are less likely to surprise you.
7. How To Use The API Cost Calculator Effectively
- Identify the unit the provider uses for billing (tokens, calls, messages or events).
- Note the price per 1,000 units from the pricing page.
- Estimate average units per request from logs, documentation or testing.
- Enter those values into the Per-Request tab to find the cost for a single call.
- Use the Monthly tab with your expected requests per day and days per month to see your likely bill.
- Optionally, compare two APIs with the same traffic assumptions to see which is cheaper at scale.
API Cost Calculator FAQs
Frequently Asked Questions
Quick answers to common questions about estimating API costs from price per 1,000 units and modeling real usage.
A unit can be anything your provider uses for billing: tokens, requests, messages, events or rows. As long as the price is quoted per 1,000 units (or can be converted to that form), you can plug it into this calculator. The tool simply scales your per-unit price to your actual usage and time period.
The math is exact given your inputs, but the realism of the estimate depends on how accurate your usage assumptions are. If your traffic, request size or unit consumption changes significantly, your real bill will also change. It is a good idea to run best-case, typical and worst-case scenarios to understand the possible range of costs.
Yes, but you may need to approximate. For simple tiers, you can run one calculation per tier and then blend them based on how much traffic falls into each band. For complex volume discounts or enterprise deals, the pricing page usually provides enough information to derive an effective average price per 1,000 units that you can use in the calculator as a single input.
If you are still in development, you can measure units per request using a small set of representative test calls and average the result. Many providers also expose usage metrics in their dashboards or client libraries. Start with a realistic guess, then revisit the numbers once you have real traffic and refine your estimates over time.
Small differences usually come from rounding or from treating traffic as an exact constant versus an average. The calculator keeps more internal precision than it displays, then rounds costs for readability. If you want to double-check your numbers, you can reduce rounding and verify each intermediate step: cost per unit, cost per request and total units per month.