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DeepSeek V4 Pro or Claude Opus 5.5: which is better?

By the current QueryWise score, Claude Opus 5.5 is ahead with 9.9 and holds position Claude Opus 5.5. DeepSeek V4 Pro delivers noticeably cheaper responses, while Claude Opus 5.5 looks better suited to tasks where the cost of an error is high.

DeepSeek V4 Pro

DeepSeek

6.7 / 10

Answer speed: 37 s · Price per question: ≈10 ₸ · Context: 1M

Overview →
Claude Opus 5.5

Anthropic

9.9 / 10

Answer speed: — · Price per question: ≈18 ₸ · Context: 1M

Overview →
DeepSeek V4 Pro Claude Opus 5.5
Overall score
6.7
9.9
Coding
8.5
—
Reasoning
8.8
—
Price per question lower is better
≈10 ₸
≈18 ₸
Answer speed lower is better
37 s
—

Scores 0–10 on the QueryWise scale: a composite per-dimension estimate factoring in our speed and reliability measurements.

Criterion DeepSeek V4 Pro Claude Opus 5.5
Overall score 6.7 9.9
Coding 8.5 —
Reasoning 8.8 —
Answer speed 37 s —
Price per question ≈10 ₸ ≈18 ₸
Context 1M 1M

Scores 0–10 on the QueryWise scale: a composite per-dimension estimate factoring in our speed and reliability measurements.

Better yet — do not choose

In QueryWise DeepSeek V4 Pro and Claude Opus 5.5 answer together — you instantly see where they agree and where they differ.

Quality: Claude Opus 5.5 currently has the edge

In the QueryWise ranking, DeepSeek V4 Pro scores 6.7 out of 10 and ranks 22. Claude Opus 5.5 is at 1 with a score of 9.9. Based on the current data, Claude Opus 5.5 is ahead, so the answer to “which model is better overall?” is fairly direct: Claude Opus 5.5.

DeepSeek also has a clear area of strength. Its coding score is 8.5, while its reasoning score is 8.8. There is not yet enough data for Claude Opus 5.5 in these two categories, so assigning it specific figures would be misleading. Claude’s overall ranking already says something about its quality, but it does not replace a separate measurement for each type of task.

We put DeepSeek V4 Pro through a set of real-world questions. When asked to “find the error in this Python snippet, explain the cause, and suggest the smallest possible patch without rewriting the architecture,” the model usually follows the task closely and produces a usable fix. When a prompt combines coding requirements with a long technical brief, the answer can become less precise: DeepSeek starts suggesting unnecessary changes. The same scenario looks more promising for Claude Opus 5.5 based on its overall ranking, but QueryWise telemetry does not yet have a large enough sample to assess its speed and level of detail fairly.

Speed and price in tenge

DeepSeek V4 Pro’s median response time in QueryWise is 37 seconds. The average price per question is approximately 10 ₸. In Kazakhstan, that difference matters if you ask the model dozens of questions during a workday: an inexpensive response is easier to build into a regular workflow, especially for rough analysis or a series of short follow-ups.

Claude is more expensive than DeepSeek, so it makes more sense to reserve it for tasks that require especially careful results: complex logic, a large document, an architectural decision, or editing text with multiple constraints. For a simple “rephrase this paragraph” request, the premium may not be worthwhile.

DeepSeek has a downside as well: QueryWise telemetry gives it a reliability score of. That is not a reason to dismiss the model, but its answer should be checked when it involves money, a contract, security, or production code. Neither model replaces a doctor, lawyer, or financial adviser.

Context and real-world tasks

Both models are designed for context windows of 1M and 1M. That lets you load a large contract, a collection of requirements, or several related files without constantly splitting the prompt into smaller pieces. In practice, window size alone guarantees nothing: what matters more is how accurately the model finds the relevant passage and avoids mixing up points from different parts of the document.

DeepSeek V4 Pro is a good fit when you need to process a large amount of material quickly and cheaply. For example, you can ask it to compare tender requirements with a company checklist and flag missing items. Another strong use case is reviewing a 200-page technical specification and compiling a list of API methods that are mentioned but not documented.

Claude Opus 5.5 is the more logical choice for tasks involving several layers of verification: “Read the lease, find the early-termination clauses, compare them with the appendix, and prepare a list of questions for a lawyer.” Here, the accuracy of the links between sections matters more than the length of the answer. Claude also looks preferable by overall score for a complex database migration plan, while DeepSeek may be more cost-effective during the initial review of the options.

In QueryWise, you can run both models side by side and see where they agree and where they differ. That is more useful than blindly accepting a single answer: DeepSeek often provides an economical first pass, while Claude helps double-check the structure of the conclusion and any questionable points.

Verdict for different scenarios

If you want one all-purpose choice based on the current ranking, choose Claude Opus 5.5: that model leads on the overall score, and the difference is reflected in the QueryWise ratings. For complex document analysis, multi-step reasoning, and code with strict requirements, Claude Opus 5.5 looks stronger, although its speed and reliability metrics are not yet ready for a fair comparison.

If price, quick drafts, and a high volume of requests are the priority, the practical value winner is different: DeepSeek V4 Pro costs about 10 ₸, compared with 18 ₸ for Claude. Its coding score of 8.5 and reasoning score of 8.8 make it a perfectly capable option for everyday technical work. The bottom line is simple: Claude Opus 5.5 wins on the quality ranking, while DeepSeek V4 Pro wins on operating cost.

Both models are available in QueryWise from Kazakhstan: payments are processed in tenge, the interface is available in Russian and Kazakh, and new users get three free questions. You can therefore test them on your own workflow without a separate subscription or complicated setup.

FAQ

Which is better for coding: DeepSeek V4 Pro or Claude Opus 5.5?
In the available measurement, DeepSeek V4 Pro scores 8.5 for coding. A separate score has not yet been calculated for Claude Opus 5.5, but Claude Opus 5.5 leads in the overall ranking. DeepSeek is a sensible choice for inexpensive debugging and patch generation, while Claude is better suited to complex architecture work.
Which model is better for studying and explaining complex topics?
DeepSeek V4 Pro scores 8.8 for reasoning and works well for reviewing material on a limited budget. Based on the current overall score, Claude Opus 5.5 is stronger, so Claude Opus 5.5 is preferable for multi-step explanations, checking arguments, and working with a large study document.
Which model is cheaper in QueryWise?
DeepSeek V4 Pro is cheaper: an average question costs approximately 10 ₸. Claude Opus 5.5 costs around 18 ₸. With a high volume of short requests, the savings from choosing DeepSeek add up quickly.
Can I try both models from Kazakhstan?
Yes. QueryWise offers DeepSeek V4 Pro and Claude Opus 5.5, accepts payment in tenge, and has an interface in Russian and Kazakh. New users receive three free questions.
Is DeepSeek V4 Pro better than ChatGPT?
There is no single universal answer: the specific models and task need to be compared. In the QueryWise ranking, DeepSeek V4 Pro has a score of 6.7 and ranks 22. It is a practical option for inexpensive questions, but the current ranking leader is Claude Opus 5.5 with a score of 9.9.
Is Claude Opus 5.5 worth paying for if DeepSeek is cheaper?
Yes, if the task involves a complex document, multi-step analysis, or code where fixing an error would be costly. For ordinary drafts, DeepSeek offers better value: about 10 ₸ versus 18 ₸ per average question.

Better yet — do not choose

In QueryWise DeepSeek V4 Pro and Claude Opus 5.5 answer together — you instantly see where they agree and where they differ.

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