AI

AI Model Cost Comparison Calculator

Compare estimated GPT, Claude, and Gemini API costs using the same input tokens, output tokens, request count, and editable model prices.

What does this calculator answer?

AI model cost comparison applies the same token workload to different input and output prices. This helps separate usage volume from provider pricing before deeper quality testing.

Inputs

Results

GPT estimated cost

-

Claude estimated cost

-

Gemini estimated cost

-

Formula

Model cost = input tokens × calls ÷ 1,000,000 × input price + output tokens × calls ÷ 1,000,000 × output price

Example

Using 2,000 input tokens, 700 output tokens, and 5,000 calls, each provider total changes directly with its editable per-million token prices.

Common mistakes

Sources and pricing

Prices and policies can change. Confirm official sources before budgeting.

Important note

Default prices are editable examples. Check official provider pricing for current rates and model-specific rules.

Frequently Asked Questions

No. Lower price can be offset by worse quality, higher retry rates, or longer workflows.
No. Enter adjusted effective prices if you want to model caching or batch discounts.
Yes. Replace the editable price fields with the provider and model rates you want to compare.