LLM API Cost Calculator

How the cost is calculated

Each request costs (fresh input x input price + cached input x cache price + output x output price) / 1,000,000. Prices are in USD per million tokens, a month is 30 days, and all figures are estimates. Prices cover the standard tier and shorter prompts; long-context, batch and priority pricing differ, so check the provider's pricing page before you budget.

Frequently asked questions

How much does an LLM API call cost?

Cost per request = (input tokens x input price + output tokens x output price) / 1,000,000, using the provider’s price per million tokens. A 2,000-token prompt with a 500-token reply on a $2 / $10 model costs $0.009.

How do I estimate my monthly LLM API cost?

Enter your typical input and output tokens per request and your requests per day. The calculator multiplies the per-request cost by your daily volume and by 30 days for the monthly figure.

What does the prompt cache hit rate do?

Cached input tokens are billed at a much lower cache-read price (often about a tenth of the normal input price). Set the share of your input that repeats between requests, such as a fixed system prompt, and the calculator prices that share at the cache rate where the provider lists one.

How do I count the tokens in my prompt?

Paste a typical prompt into the box for a quick estimate of about 4 characters per token, or use the AI token counter. Exact counts depend on each provider’s tokenizer.

Are these prices up to date?

These are list prices for the standard tier, last checked 2026-11-14. Providers change prices often, and long-context, batch, priority and peak-hour rates differ, so confirm on the provider’s pricing page before budgeting.