DeepSeek V4 Pro vs GPT-6 Astra: which is better in QueryWise?

This is not a matchup where both models are simply «about the same». In the QueryWise ranking, the models hold 22 and 4 places, with current ratings of 6.7 and 9.3 out of 10. GPT-6 Astra is ahead. For a one-off complex task, it will almost certainly be the stronger choice, but DeepSeek V4 Pro should not be dismissed: a request costs about 10 ₸, while GPT-6 Astra costs around 43 ₸.

Answer quality: GPT-6 Astra leads on the overall score

The gap in the QueryWise ranking reflects more than one impressive demo; it comes from an aggregate evaluation across different requests. GPT-6 Astra scores 9.3 and ranks 4. DeepSeek V4 Pro scores 6.7 and ranks 22. On the overall score, there is one clear winner: GPT-6 Astra.

For coding, GPT-6 Astra scores 9.5, while DeepSeek V4 Pro scores 8.5. In practical work, that can mean the difference between «produced a working scaffold» and «produced a scaffold that still needs careful review», especially when the task involves several files, error handling, and non-obvious dependencies.

The reasoning comparison needs a careful qualification: DeepSeek V4 Pro has a score of 8.8, while the current QueryWise data does not yet include a calculated value for GPT-6 Astra. So it would be wrong to name a winner on this metric alone. GPT-6 Astra leads overall, while DeepSeek V4 Pro looks convincing on the reasoning score that is available.

Speed and prices in tenge

DeepSeek V4 Pro responds in a median of 37 seconds. QueryWise is still collecting insufficient telemetry for GPT-6 Astra, so we are not publishing an exact speed comparison yet. That does not mean Astra is slow or fast; there simply is not enough data.

Price, however, is immediately clear. An average request to DeepSeek V4 Pro costs about 10 ₸, compared with 43 ₸ for GPT-6 Astra. The difference matters when you need to run a large batch of requests: email drafts, SQL variations, spreadsheet checks, or dozens of code snippets. In that workflow, DeepSeek V4 Pro is noticeably easier on the budget.

For one critical task, GPT-6 Astra’s price may be justified. If the model helps analyze a service architecture or fix a bug in a large project, saving money on one request may not be worth the extra review. My practical budget verdict is different: DeepSeek V4 Pro is better for frequent use, while GPT-6 Astra is for high-stakes tasks where accuracy matters more.

Context and task types

DeepSeek V4 Pro has a context of 1M, while GPT-6 Astra has 1.1M. Both models are designed for very large inputs. Astra has a small advantage in window size, but a larger context window does not guarantee equally attentive work on every page of a contract or every function in a repository.

We tested the models with real-world requests. Given «compare two versions of a Python service, find the change that causes payments to receive a duplicate status, and suggest a fix with a test», GPT-6 Astra does a better job of tracking relationships across files and lays out the fix more carefully. DeepSeek V4 Pro provides a useful analysis, but edge cases more often need additional checking.

Another scenario: «write a brief explanation of a tax term in Russian and Kazakh for a small-business owner, without making legal conclusions». Here, DeepSeek V4 Pro typically responds faster and costs less in a normal workflow; its wording still needs review, especially when the question involves local regulations. Neither model replaces an accountant or lawyer.

For studying, DeepSeek V4 Pro is useful when you need a topic explained step by step, exercises created, or your own solution checked. GPT-6 Astra is stronger when a student provides a large set of materials and asks it to connect definitions, examples, and mistakes in one explanation. In both cases, treat the answer as a draft rather than a source of truth.

An honest choice for QueryWise users

If you want one winner for quality, choose GPT-6 Astra: its current score is 9.3 versus 6.7 for DeepSeek V4 Pro, and Astra also leads in coding, 9.5 to 8.5. When the consequences of a task are significant, GPT-6 Astra’s extra cost looks reasonable.

If you have many requests, a limited budget, and can review the answer manually, DeepSeek V4 Pro is more practical. It costs about 10 ₸ compared with 43 ₸ for Astra. For long-form analysis, multi-file programming, and work where extra quality matters, choose GPT-6 Astra.

Both models are available from Kazakhstan in QueryWise: payments are made in tenge, the interface is available in Russian and Kazakh, and new users receive three free questions to start. You can send the same request to both models and see where they agree and where they differ. This is especially useful before buying a request package.

The straightforward conclusion: GPT-6 Astra wins on the current ranking and code quality, while DeepSeek V4 Pro wins on cost efficiency and remains a strong option for regular explanations and first drafts. The QueryWise ranking updates every hour, so check the current values in the model cards before a major task.