GPT-5.6 Terra vs Grok 4.7: which is better in QueryWise?

This is a practical comparison: both models are available in QueryWise from Kazakhstan, respond through an interface in Russian and Kazakh, and can be paid for in tenge. Each starts with three free questions, so you can try both without buying a subscription.

Answer quality: Grok 4.7 leads on the current score

GPT-5.6 Terra ranks 15 in QueryWise and scores 7.8 out of 10. Grok 4.7 is in 12 place with a score of 8.3 out of 10. This is not a laboratory abstraction: the QueryWise ranking is updated every hour and reflects our measurements on real-world work prompts.

The difference between the models depends on the task. GPT-5.6 Terra already has a separate coding score of 9.5 out of 10. A separate coding score has not yet been calculated for Grok 4.7, so it would be misleading to call it stronger or weaker specifically at programming. Separate reasoning figures have not yet been published for either model either: — for GPT-5.6 Terra and — for Grok 4.7.

We ran both models through real questions. For example, GPT-5.6 Terra handles the prompt “find the bug in this Python function, explain the cause of the failure, and suggest tests for edge cases” confidently: it preserves the code structure and does not lose the requirement about testing. QueryWise does not yet have a separate telemetry-based coding score for Grok 4.7, so for this task we rely on the overall ranking rather than presenting a guess as a measurement.

Speed and pricing in tenge

So it is not yet fair to call either model faster. A couple of quick interface responses cannot replace stable statistics across a large number of requests.

The average question costs approximately 10 ₸ with GPT-5.6 Terra and approximately 10 ₸ with Grok 4.7. For a typical user, that is effectively the same budget: 100 questions cost roughly a thousand tenge with either model. The pricing is especially convenient when you need to review a large document, check an email, or generate several wording options in one evening.

Price, however, does not mean equal usefulness. If a prompt requires a long context or careful code analysis, GPT-5.6 Terra may justify the same spend through the quality of its work. If the overall QueryWise score matters more and you need a model for a range of everyday questions, Grok 4.7 is the more sensible place to start right now.

Context and task types

GPT-5.6 Terra has a context capacity of 1.1M, compared with 500K for Grok 4.7. The first model is notably better suited to scenarios where you need to upload a large contract, several technical files, or a long conversation and ask it to find contradictions. In this mode, extra context becomes a practical advantage rather than an impressive number on a model card.

Grok 4.7 is the more logical model to try for short research prompts—for example, asking it to compare the terms of two Kazakhstan-based services, highlight the differences, and provide a list of questions to ask before paying. Its overall ranking result is higher, making it the stronger candidate for varied everyday dialogue at the moment.

Choose GPT-5.6 Terra when one request needs to cover a large body of material: “turn the requirements from a 180-page contract into a table and flag the clauses that contradict each other.” It has a confirmed coding result of 9.5, while no such measurement is available for Grok 4.7 yet. Neither model replaces a lawyer, doctor, or financial adviser: facts and decisions with real consequences should be checked separately.

In QueryWise, you can send the same question to both models at once and see where they agree. That is more useful than choosing by name: matching answers increase confidence, while differences point to areas that need further checking.

The honest verdict

Grok 4.7 is currently ahead on the QueryWise score with 9.9. For everyday questions, educational explanations, and a first draft of an answer, I would start with Grok 4.7: it ranks higher overall, while its per-request price is comparable to GPT-5.6 Terra.

GPT-5.6 Terra wins in a different scenario: large amounts of input data and coding. Its context is 1.1M versus 500K for Grok 4.7, and its confirmed coding score is 9.5. When you need to process a batch of files in one pass or find a defect in a program, it is the more convincing choice.

The bottom line is simple: Grok 4.7 is currently better by overall score, while GPT-5.6 Terra is more practical for long materials and software code. Both cost around ten tenge per average question, are available from Kazakhstan, and let you start with three free requests in QueryWise.