GPT-4.1 or GPT-6 Astra — which is better in QueryWise?

Quality: the difference is clear right away

In the QueryWise ranking, GPT-4.1 scores 3.9 out of 10 and ranks 34th. GPT-6 Astra scores 9.3 out of 10 and ranks 4th. GPT-6 Astra is currently ahead, while Claude Opus 5.5 remains the overall ranking leader with a score of 9.9.

This is not a case where two models differ by just a few tenths. GPT-4.1 is still useful, especially when the question is clearly phrased and does not require a long chain of reasoning. GPT-6 Astra, however, is noticeably better at handling complex requirements, retaining constraints throughout an answer, and solving tasks where one wrong intermediate step can ruin the final result.

The coding comparison is more concrete: GPT-4.1 scores 8.6, while GPT-6 Astra scores 9.5. The advantage goes to GPT-6 Astra. GPT-4.1 is enough for a small script, an SQL query, or a minor function fix, but Astra is better at analyzing an existing project and making changes that affect several files.

GPT-4.1's reasoning score is 5.1. QueryWise has not yet published a comparable figure for GPT-6 Astra, so assigning it a specific score would be misleading. The overall result is still clear: GPT-6 Astra is ahead.

Price and speed: where the savings end

An average question to GPT-4.1 costs about 10 ₸, while a question to GPT-6 Astra costs around 43 ₸. That is a significant difference. If you ask a model several simple text-related questions in an evening, GPT-4.1 is the more economical choice. With regular work involving code, documents, or multistep calculations, Astra's higher price may pay off through fewer repeat requests.

We do not yet have enough telemetry to report a fair median response speed for both models: — for GPT-4.1 and — for GPT-6 Astra. So we will not claim that one is faster. In practice, total completion time also depends on context length, not just the number of seconds before the first response.

Consider a simple scenario: you need to quickly rewrite a client email or extract five points from a short set of instructions. GPT-4.1 is the rational purchase here. But if you have to double-check the answer and send a second request with corrections, the initial savings disappear quickly.

Context and task types

GPT-4.1 has a context window of 1M, while GPT-6 Astra has 1.1M. Both figures are large, but window size alone does not guarantee a good analysis of an entire file. The model must also select the relevant passages and preserve the connections between them.

Choose GPT-4.1 when you need to do the following in a few minutes:

• write or fix a short script;
• condense a contract into a list of risks for internal discussion;
• translate text between Russian and Kazakh, followed by editing.

GPT-6 Astra is stronger in a different setting. Imagine a repository with several connected modules: you need to add an access-control check, update the tests, and explain which parts were affected. Astra is the more logical choice here thanks to its higher overall score and coding result of 9.5.

We ran both models through a real-world question: “Analyze an SQL query with several JOINs, explain why it duplicates rows, and suggest a fix without changing the database schema.” GPT-4.1 usually finds an obvious extra JOIN, but it may suggest a solution that changes the original constraint. GPT-6 Astra is more careful about preserving the task requirements and more often separates the diagnosis, corrected query, and result check. This is exactly the kind of case where the extra tenge pays for fewer follow-up fixes.

For study-related questions, GPT-4.1 is convenient when you need a clear explanation of a topic without extensive research. Astra is preferable when preparing for an exam in a difficult subject and you need to connect several sources into one coherent line of reasoning. Sources should still be checked: both models can make mistakes and do not replace a teacher, doctor, lawyer, or financial adviser.

What to choose in QueryWise

The winner for answer quality is GPT-6 Astra: it has the higher current score, and GPT-6 Astra also leads GPT-4.1 in coding, with scores of 9.5 and 8.6. Choose GPT-6 Astra for serious coding, large documents, and tasks with multiple constraints.

The winner for savings is GPT-4.1. At about 10 ₸ per question versus approximately 43 ₸ for Astra, it is a sensible option for short prompts, editing, and basic learning. This is not a “bad” model: its coding score of 8.6 is respectable; GPT-6 Astra is simply higher in the current QueryWise ranking.

In QueryWise, both models respond side by side, so you can ask GPT-4.1 and GPT-6 Astra the same question and see where they agree and where Astra adds an important detail. The service is available from Kazakhstan, payments are processed in tenge, and the interface works in Russian and Kazakh. QueryWise gives new users three free questions to get started.