GLM 5.1 or Grok 4.7 — Which Is Better in QueryWise?

Quality: the difference is clear right away

In the QueryWise ranking, GLM 5.1 currently holds 28 place with a score of 5.6 out of 10. Grok 4.7 is in 12 place with 8.3. By the current score, Grok 4.7 is ahead — this is not a narrow gap that can be dismissed as the result of a single random prompt.

GLM 5.1 was created by Z.ai. Its strong suit is reasoning, with a current score of 8.9. That is a solid result for tasks that require analyzing conditions, finding contradictions, or explaining a solution step by step. GLM 5.1 scores 7.5 in coding. It can produce a working code snippet, but a complex project should still be checked manually.

That makes a direct comparison in these two areas less precise for now: GLM 5.1 has a detailed breakdown, while Grok 4.7's overall score remains the main reference point. At the level of overall quality, the winner is Grok 4.7.

Price and speed: the cost is similar, but expectations differ

A typical question in QueryWise costs about 10 ₸ with GLM 5.1 and 10 ₸ with Grok 4.7. For users in Kazakhstan, that matters more than advertised dollar prices: you can pay in tenge, and the interface is available in Russian and Kazakh. Both models provide three free questions at the start.

There is no point pretending to have precision out of thin air. At the same price, it makes more sense to choose based on the nature of the task and answer quality rather than promises about latency.

For an evening review of a contract, technical specification, or lengthy report, a difference of a few tenge per question is almost irrelevant. If you make hundreds of such requests, price begins to matter, but right now it is practically identical. Grok 4.7 does not win on cost.

Context and task types

GLM 5.1 has a context window of 205K tokens. That is enough to upload a large document and ask the model to flag disputed points, prepare a list of changes, or explain the logic behind a calculation. It is especially convenient for study: you can provide the assignment, a draft solution, and the instructor's comments in a single prompt.

Grok 4.7 has a larger window — 500K tokens. That is a practical advantage when you need to analyze several related files, a long conversation, or a large set of product requirements. For example, you can provide the discussion history for a mobile app and ask it to separate real bugs from subjective complaints. A large context does not guarantee a correct conclusion, but it reduces the risk of losing an important detail because of the limit.

Which model to choose for a specific job

• Analyzing complex logic. GLM 5.1 looks preferable thanks to its reasoning score of 8.9. I would start with it if you need to check a mathematical solution step by step or find an error in the requirements.
• A large batch of materials. Grok 4.7 is more convenient because of its 500K-token window. It is the better choice for analyzing a long conversation, several documents, or a large notes database.
• Coding. GLM 5.1 has a current score of 7.5, so it is easier to assess specifically as a coding assistant. Grok 4.7 remains a candidate for practical requests, but its comparable rating value of — does not currently provide the same level of transparency.

We ran GLM 5.1 through questions that require more than just an answer — they require an explanation of the reasoning. For the prompt “check this SQL query, find the cause of the duplicate rows, and suggest a fix with an explanation,” the model usually breaks the problem down step by step and offers a corrected version. However, it may treat an unstated condition as fact, so the result should be run against real data. Grok 4.7 is a sensible choice when context is the priority — for example, when the SQL comes with table schemas, an error history, and a long description of business rules.

The QueryWise verdict

If you need one general-purpose choice based on the ranking, pick Grok 4.7: it is currently ahead with 8.3 versus 5.6 for GLM 5.1. For lengthy materials, Grok 4.7's additional context headroom makes the choice even more convincing.

GLM 5.1 remains a sensible buy for reasoning and coding tasks, especially if you want to check an answer with a second model at no extra cost: both models cost around 10 ₸ for an average question. In QueryWise, they answer side by side, so you can see where they agree and where one of them goes off track. That is more useful than blindly trusting a single answer.

For medical, legal, and financial decisions, both models should be used only as assistants. The final decision belongs to a professional, not a chat.