Tools/LLM API Cost Calculator
100% Client-Side • Static Pricing Table

LLM API Cost Calculator

Estimate what a model call costs per request, per 1,000 calls, per 1,000,000 calls, and per month. Enter token counts directly or paste a prompt for an instant token estimate.

Model:

Anthropic Claude Opus 5: $5.00 / 1M input tokens • $25.00 / 1M output tokens

Token inputs
Estimate input from a prompt
Per Call
$0.0175
Per 1K Calls
$17.50
Per 1M Calls
$17,500.00
Per Month
$105.00

The math

input: 1,000 / 1,000,000 x $5.00 = $0.005000

output: 500 / 1,000,000 x $25.00 = $0.0125

per call = $0.005000 + $0.0125 = $0.0175

monthly = per call x 200 calls/day x 30 days = $105.00

Standard published list prices in USD per 1M tokens, excluding batch, cached and long-context rates. Last verified 2026-09-08 against OpenAI, Anthropic and Google. Confirm current rates in your provider dashboard before budgeting.

How LLM API billing works

Almost every hosted model bills two separate meters: prompt (input) tokens and completion (output) tokens, each quoted per million tokens. Output is priced higher because the model runs one forward pass per generated token. To estimate a call, convert both token counts to millions, multiply by the matching rate, and add them. Multiply by your call volume for daily and monthly projections. Real invoices also include retries, multi-turn tool calls, system prompt overhead, and sometimes a discount for cached or batched input, so treat this as a planning envelope rather than an exact forecast. The single biggest lever is usually the output cap: halving max tokens on a chat endpoint often halves the bill. Trimming retrieved context is the next lever. Pair this with the Token Counter to size prompts and the tools hub for more utilities.

Frequently Asked Questions