GPT-6.1 Sol vs GPT-6 Astra: which is better in QueryWise?

Answer quality: GPT-6 Astra leads

In the QueryWise ranking, GPT-6.1 Sol scores 9.1 out of 10 and ranks 6. GPT-6 Astra scores 9.3 out of 10 and ranks 4. This is not an abstract difference from a marketing brochure, but the current QueryWise ranking result, updated every hour.

The difference between the models may feel different depending on the task. Both can provide a clear answer structure for a short question about a tax deduction, but accuracy and avoiding unsupported assumptions matter more when the wording is complex. We tested the models with real questions. For example, given the request “compare the termination terms for a residential lease for an individual in Kazakhstan and highlight the clauses that need to be checked in the text,” GPT-6 Astra does a better job of preserving the structure of a long task, while GPT-6.1 Sol answers more concisely and moves to the checklist faster. That is a useful distinction, not a reason to declare one model a universal winner.

So it would not be fair to compare reasoning here using a single figure. The overall ranking provides a quality signal, but it does not reveal performance under every type of workload.

Coding and work tasks

The picture is clearer for programming. For debugging a function, reviewing a pull request, or finding the cause of an SQL error, I would therefore choose GPT-6 Astra. It has a measured coding result, which makes the recommendation specific.

Consider a practical request: “find the error in this Python snippet, explain why the test is failing, and suggest a fix without changing the public API.” Astra is the more logical choice when the task requires working through several dependent conditions. Sol is better suited to a small script, explaining someone else’s code, or producing a quick draft, especially when the task does not require keeping a large project in memory.

For learning, the choice is less clear-cut. If you need to work through a 200-page contract, study guide, or technical specification in one evening, Astra’s advantage comes from its context capacity. If you need a simple explanation of one topic or a study plan for an exam, Sol may be more practical because it costs less per question.

Context, speed, and pricing in tenge

In QueryWise’s current data, GPT-6.1 Sol’s context is listed as 1.1M. For GPT-6 Astra, the figure is 1.1M. For users, this means Astra is designed to handle very large amounts of material. Sol should not be chosen blindly for a book, a large repository, or a long conversation if all the material must be sent in a single prompt.

QueryWise has not yet collected enough telemetry on median response speed. Declaring one of them faster would therefore be speculation. If you need an answer right now, look at the actual time in your own workflow rather than a promise in a review.

The price difference is more noticeable. An average question to GPT-6.1 Sol costs about 10 ₸, while a question to GPT-6 Astra costs approximately 43 ₸. With ten short queries, the extra cost of Astra becomes significant. Sol looks more sensible for everyday email editing, translating snippets, and simple explanations. Astra makes sense when one session replaces several passes through a large document or complex codebase.

Which model should you choose in QueryWise?

For coding, the current winner is GPT-6 Astra. It has a specific score of 9.5, compared with — for Sol. Choose Astra for long documents and multi-step tasks as well: its 1.1M context supports working with larger source material.

For saving money, the winner is GPT-6.1 Sol. Its estimated price is 10 ₸ versus 43 ₸ for Astra. It is the model to choose when you need short answers, an affordable series of queries, and do not need to upload a large body of text.

GPT-6 Astra leads QueryWise’s overall assessment. At the same time, the price difference changes the practical verdict: Astra is better for complex work, while Sol is more economical for regular small tasks. In QueryWise, you can ask both models the same question and see where they agree and where they differ. Payment in tenge is available, the interface supports Russian and Kazakh, and new users get three free questions to start.

My choice for code checks and long-document analysis is GPT-6 Astra. My choice for dozens of ordinary requests without a large context is GPT-6.1 Sol. Neither model replaces a lawyer, doctor, or financial adviser, especially when an error could cost money or affect someone’s health.