ChatGPT cost: How to calculate the API usage for your company

ChatGPT Costs: How to calculate the API usage for your company

*May 2026 *

The integration of artificial intelligence, especially advanced language models such as ChatGPT, has proven to be a decisive competitive advantage for many companies.

From the automation of customer service to the creation of content – the options are diverse.

But before you can fully exploit the benefits of a ChatGPT integration company, there is an important question in the area.

How high are the costs of using the ChatGPT API? In this post, we key the price structure of OpenAI and give you practical tips on cost calculation.

The basics of ChatGPT API prices: What are Tokens?

The integration of artificial intelligence, especially advanced language models such as ChatGPT, has proven to be a decisive competitive advantage for many companies.

When planning ChatGPT cost: How to calculate the API usage for your company from idea to delivery, API & Integration Projects, Cost Calculator: API Development, Solution: Integration Chaos sowie RPA vs. API Integration offer practical next steps on our site.

The billing of the ChatGPT API usage is based on so-called "tokens". A token is the basic unit in which the model text is processed.

Simply put, a token corresponds to around four characters in English. This means that 100 tokens correspond to about 75 words.

Both the text (input) you send and the text (output) generated by the model are billed in tokens.

Overview of the price models of the ChatGPT API

Short: OpenAI offers different models that differ in their performance and cost.

OpenAI offers different models that differ in their performance and cost. The choice of the right model depends heavily on the specific application.

Here is an overview of the most common models and their prices (as of January 2026):

Model	Input costs (per 1 million tokens)	Output costs (per 1 million tokens)
GPT-5.2	1,750 $	14,000 $
GPT-5.2 per	21.00 $	168.00 $
GPT-5 mini	0,250 $	2,000 $

Which model for what application?

• GPT-5 mini: This model is the cheapest and fastest option. It is ideal for simple, well-defined tasks such as grouping of texts, extraction of keywords or simple chatbot responses. *GPT-5.2: As the standard model, it offers an excellent balance between performance and costs. It is the right choice for most applications that require a deep understanding of text, such as the creation of marketing texts, the summary of documents or the development of complex chatbots.
• GPT-5.2 per: The most powerful model is designed for highly complex and expert tasks. If the highest precision and creativity are required, for example in the production of specialist articles or in demanding programming tasks, this model is the first choice.

How to calculate your expected costs

To calculate the cost of API usage, you must estimate the expected consumption of tokens for your application. Here are the steps you support:

1. **Analys your application:**Determine the average length of your enquiries (Input) and the expected Antwo.

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Clarity: Where no primary source is named in the text, figures are illustrative; compare Bitkom and Destatis. Project-related statements: Groenewold IT, 2026.

References and further reading

The following separate references complement the topics in this article:

• Bitkom – German digital industry association.
• German Federal Office for Information Security (BSI).
• European Commission – Digital strategy.
• MDN Web Docs (Mozilla)
• W3C – World Wide Web Consortium.

"AI in mid-sized companies works when processes are measurable and data is trustworthy—a pilot without a success metric is theatre."

— Björn Groenewold, Managing Director, Groenewold IT Solutions

Frequently Asked Questions (FAQ)

What is this article about: “ChatGPT cost: How to calculate the API usage for your company”?

This post explores ChatGPT cost. How to calculate the API usage for your company from the perspective of needs, typical pitfalls. And sensible next steps. In short.

The integration of artificial intelligence, especially advanced language models such as ChatGPT, has proven to be a decisive competitive advantage for many companies. From the...

Who benefits most from the content described here?

Useful for project leads and product owners in Software development who must choose between standard software, custom development, and integration.

How does this topic fit into an IT or digital strategy?

Technically and organizationally, alignment with experienced partners pays off — from requirements to operations; start with the [services overview](/en/services/software-development). For multi-system landscapes, [IT consulting and architecture](/en/services/it-consulting) helps align vendors and internal teams.

What are sensible next steps if we need support?

A practical next step: book a consultation and clarify which MVP or pilot fits your team and landscape.