How to Calculate AI/LLM Inference Cost

What is AI/LLM Inference Cost?

AI inference cost is the expense of running machine learning model predictions. As LLMs become embedded in products, inference costs scale directly with usage.

Formula

Cost = (Input tokens / 1000) x Input price + (Output tokens / 1000) x Output price

Tokens: API tokens processed (Count)
Rate: Cost per 1000 tokens (Currency/1K)

Step-by-Step Guide

1Cost = (Input tokens / 1000) x Input price + (Output tokens / 1000) x Output price
2One token is approximately 4 characters or 0.75 words
3Different models vary by 10-100x in cost and capability

Worked Examples

Input

1,000 input + 500 output tokens, 10,000 requests/month at $0.001/$0.002 per 1K

Result

Monthly cost = $20 - very manageable at this scale

Frequently Asked Questions

What is Ai Inference Cost?

AI inference cost is the expense of running machine learning model predictions. As LLMs become embedded in products, inference costs scale directly with usage

How accurate is the Ai Inference Cost calculator?

The calculator uses the standard published formula for ai inference cost. Results are accurate to the precision of the inputs you provide. For financial, medical, or legal decisions, always verify with a qualified professional.

What units does the Ai Inference Cost calculator use?

This calculator works with inches. You can enter values in the units shown — the calculator handles all conversions internally.

What formula does the Ai Inference Cost calculator use?

The core formula is: Cost = (Input tokens / 1000) x Input price + (Output tokens / 1000) x Output price. Each step in the calculation is shown so you can verify the result manually.

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