DeepSeek V4 Pro or Grok 4.7 — which is better?

Which model leads in answer quality?

In the QueryWise ranking, DeepSeek V4 Pro currently scores 6.7 out of 10 and ranks 22nd. Grok 4.7 scores 8.3 out of 10 and sits in 12th place. Grok 4.7 currently leads with a score of.

The gap is meaningful, not merely cosmetic. For everyday users, that means fewer answers that need to be rewritten from scratch or fact-checked line by line. Still, DeepSeek V4 Pro should not be dismissed: QueryWise reports separate scores for it in two important areas. Its coding score is 8.5, and its reasoning score is 8.8.

Separate coding and reasoning scores for Grok 4.7 have not yet been published in QueryWise telemetry. That means the two sub-scores cannot be compared directly and fairly. Grok 4.7 leads on the overall score, but that does not automatically make it the winner in every programming benchmark.

Speed and price in tenge

DeepSeek V4 Pro has a median response time of 37 seconds. This is not an instant chat: questions involving code analysis or extended reasoning may take a little time. The advantage is that the figure comes from our telemetry rather than a marketing claim.

There is not yet enough data on Grok 4.7's median speed. Calling it faster or slower would therefore be speculation. In any individual conversation, speed also depends on prompt length, system load, and the task selected.

The average price per question on QueryWise is about 10 ₸ for DeepSeek V4 Pro and about 10 ₸ for Grok 4.7. The difference is negligible, so choosing one over the other will not produce meaningful savings. If you need to run dozens of short questions in an evening, both remain inexpensive. If the question is a single critical one, choose based on quality rather than a few tenge.

Context and task types

DeepSeek V4 Pro supports a context of 1M tokens. That capacity is useful for reviewing a large contract, technical documentation, or several project files in one conversation. The model can keep more source material in view without forcing you to split the prompt into small pieces.

Grok 4.7 has a context of 500K tokens. That is still a substantial amount, but it is half DeepSeek V4 Pro's limit. For an ordinary question about an article, a meeting summary, or a code fragment, the difference may go unnoticed. On a long project archive, DeepSeek V4 Pro is the more practical option.

Which model should you choose for coding?

DeepSeek V4 Pro has a measurable advantage in transparency here: its QueryWise coding score is 8.5. You can test it with a concrete prompt: “Find the bug in a Python function that removes duplicates from a list while preserving order, and explain its time complexity.” This requires the model to fix the code and explain the solution at the same time, which reveals its practical ability better than simply asking it to write an example.

Grok 4.7 does not yet have a separate coding sub-score, so it cannot be declared the programming winner. Its overall score is higher, but for tasks that require a careful patch and an explanation of every change, DeepSeek V4 Pro currently looks like the more proven choice. You should still run the final code: neither model replaces testing.

Which model is better for learning and reasoning?

DeepSeek V4 Pro scores 8.8 for reasoning. We tested it with a prompt like this: “Compare two installment plans, recalculate the overpayment by month, and identify the error in the original figures.” It lays out the calculations step by step, but the arithmetic still needs to be checked. This is a strong use case for exam preparation, formula analysis, and evaluating arguments.

Grok 4.7 leads on the overall QueryWise score, so we would choose it for a difficult explanation or an unusual question. But without a separate reasoning sub-score, we cannot claim that it is better than DeepSeek V4 Pro specifically at mathematical logic. A model can be confidently wrong, especially when a prompt contains incomplete data or requires up-to-date sources.

Which model should you choose on QueryWise?

If you need one general-purpose answerer and the current overall score is your priority, choose Grok 4.7: it leads the QueryWise ranking with. For long documents, large file sets, and coding tasks that need verification, DeepSeek V4 Pro is the more sensible choice thanks to its 1M-token context, 8.5 coding score, and 8.8 reasoning score.

For a difficult study question or a prompt where general problem-solving ability matters most, Grok 4.7 retains the advantage. There is not yet enough telemetry on Grok 4.7's speed to promise a fast response. On price, the models are effectively equal: about 10 ₸ for DeepSeek V4 Pro and 10 ₸ for Grok 4.7.

Both models are available in QueryWise from Kazakhstan: payments are made in tenge, the interface is available in Russian and Kazakh, and new users get three free questions to start. You can send the same prompt to both models and see where their answers agree or diverge. That is more useful than promotional rankings, especially for important work documents.

Verdict: Grok 4.7 wins on the current score. Choose DeepSeek V4 Pro for long-context work and tasks with a strong, measurable coding and reasoning component. Grok 4.7 is preferable as a general-purpose answerer according to the ranking. Neither model is a substitute for medical, legal, or financial advice.