The Most Capable AI Models by Cost per Question

The price in this ranking is shown for one representative question, so it should not be treated as a fixed tariff for every task. A long document, a large response, or frequent follow-up questions use more tokens. Even so, for a typical conversation, text check, or small code snippet, the figure is easy to understand: roughly tenge tenge per request.

Top three

GPT-5.6 Terra currently holds first place with a score of 9.1. Its advantage is the combination of quality and speed: responses take about — seconds, while the context reaches 1.1M tokens. It is a sensible choice for anyone looking for one primary model for everyday use, from emails and document analysis to difficult technical questions. At around 10 tenge per question, the model is especially compelling.

Second place goes to Claude Sonnet 5, with a score of 8.9. The model earned its position through strong answers and a large context window of up to 1M tokens. Its current cost is approximately 10 tenge per question. It is worth considering if you regularly work with long materials, revisions, and multi-step tasks rather than only asking short everyday questions.

Grok 4.5 takes third place with a score of 8.6. At around 10 tenge per request, it remains one of the most affordable options near the top of the list. Its 500K-token context lets you upload substantial materials without constantly splitting them into smaller parts, making it a good candidate for studying, drafting, and working with large source datasets. The speed of 62 seconds is a benchmark from our tests, not a promise for every request.

What are you really getting for tenge tenge?

A low price does not mean identical results. Models can differ in how well they handle facts, Kazakh and Russian, code, instructions, and long contexts. An inexpensive answer may still need to be checked, rewritten, or clarified — and then the savings on a single request quickly lose their value.

There is also a technical trade-off: a large context window does not guarantee that the model will use every part of a document attentively. It does, however, save you from splitting a file across dozens of messages. Speed matters too: the difference between a quick answer and waiting nearly a minute is noticeable when you are editing text in a working session.

• For short tasks, focus on response speed and consistency.
• For documents, look at context size and the ability to follow several conditions at once.
• For code and precise data, plan on manual verification regardless of the model's position in the ranking.

We added this category to QueryWise to our catalogue to compare models not by the prominence of their names, but by the cost of real-world use in Kazakhstan. Our view is simple: this kind of ranking is useful for everyday tasks and testing different approaches, but it does not replace specialized services where mistakes are costly. These are assistants, not medical, legal, or financial advice.