Grok 4.3 or GPT-6 Astra — which is better in QueryWise?

Quality: GPT-6 Astra has the edge

In the QueryWise ranking, Grok 4.3 scores 5.5 out of 10 and ranks 29. GPT-6 Astra scores 9.3 out of 10 and ranks 4. The gap is noticeable: this is not a case where two models are neck and neck and one is merely a little more careful with its wording.

GPT-6 Astra is currently ahead on score. GPT-6 Astra is particularly strong on coding tasks: its coding score is 9.5, compared with 6.1 for Grok 4.3. For a prompt such as “find the bug in this Python script, explain the cause, and rewrite the function without changing the API,” Astra looks like the more reliable choice: it follows constraints more consistently and less often leaves unfinished sections.

Grok 4.3 has a strong area of its own. Its reasoning score is 9.2. GPT-6 Astra is currently listed at — for this metric, so a direct numerical comparison is limited here. In practice, Grok is worth trying for long-form argument analysis, contradiction checking, and questions that require working through several conditions step by step rather than simply producing a ready-made template.

We ran both models through real-world questions. For the prompt “compare two versions of a supply agreement, highlight the penalty clauses, and list the risks for the buyer,” Grok 4.3 laid out the logic of the terms well but required careful review of its wording. GPT-6 Astra produced a more focused structure and more clearly separated the contract text from its own conclusions. This is still not legal advice: a specialist should review any contract before it is signed.

Price and speed: Grok saves money, while speed data is still unavailable

An average question in QueryWise costs approximately ≈10 ₸ with Grok 4.3. For GPT-6 Astra, the figure is ≈43 ₸. The difference becomes noticeable quickly when you ask a model dozens of questions while preparing a report, study project, or internal guide.

Grok 4.3 is the more sensible choice when the task allows for additional review and the budget is limited. When analyzing several text options, the savings may outweigh the quality gap. Astra costs more, but its strong overall result and coding performance reduce the number of follow-up prompts. If one accurate answer replaces three clarification requests, the cost of an individual question looks different.

QueryWise telemetry has not yet established the median response speed for either model: the available figures are — for Grok 4.3 and — for GPT-6 Astra. So it would be misleading to call either one faster. For time-sensitive work, focus for now on answer quality and cost rather than an unverified impression of speed.

Context and task types

Both models are designed to handle large inputs. Grok 4.3 has a context of 1M, while GPT-6 Astra has 1.1M. In practice, this means you can upload a lengthy report, several chapters of a textbook, or a large code file without breaking the material into excessively small pieces.

Grok 4.3 is a good fit when you need to review a 200-page document in one evening and create a map of the contentious sections. Its strong reasoning score helps it maintain a chain of conditions. Another useful scenario is brainstorming followed by critique: the model can suggest several interpretations and then test them for internal contradictions.

GPT-6 Astra is the better choice for practical coding. For example, if you need to migrate a small service from REST to another API format, add tests, and preserve compatibility with existing responses, its 9.5 score works in its favor. It is also more convenient for preparing structured technical content when the order of steps and precise compliance with requirements matter.

Here is a more everyday example: “Create a 14-day study plan for a microeconomics exam, allowing four hours on weekdays and two hours on weekends.” Grok can usefully analyze the constraints and suggest a revision strategy. Astra will likely produce a more consistent plan with clear blocks and checkpoints. Facts should still be verified against a textbook.

What to choose in QueryWise

If you want one general-purpose answer with the highest current result, choose GPT-6 Astra. In the QueryWise ranking, GPT-6 Astra is currently well ahead of Grok 4.3: 9.3 versus 5.5. The coding gap also favors Astra — 9.5 versus 6.1.

Grok 4.3 makes sense if you want a lower price or need to analyze reasoning, long-form text, or disputed arguments. It is an economical model for a first pass. GPT-6 Astra costs more, but the expense is justified when an error in code, document structure, or the sequence of actions would cost more than a few dozen tenge.

In QueryWise, you can run both models side by side and see where they agree and where they differ. This mode is useful for complex documents or code: Grok 4.3 helps identify questionable sections, while Astra takes the solution to a working state. Under otherwise equal conditions, though, my choice based on the current data is clear: GPT-6 Astra for quality and coding, and Grok 4.3 for savings and independent analysis of long-form arguments.

Both models are available to users in Kazakhstan: payments are processed in tenge, the interface is available in Russian and Kazakh, and QueryWise gives new users three free questions to start. That is enough to test them on your own document or code snippet before paying.