Claude Opus 4.8 vs GPT-6 Astra: which is better?

Quality: GPT-6 Astra is currently ahead

Based on the current QueryWise score, GPT-6 Astra leads with 9.3 out of 10, compared with 7.8 for Claude Opus 4.8. In the QueryWise ranking, they are in 4 and 16 place respectively. The gap is large enough to choose by task rather than by company name.

Claude Opus 4.8 is particularly strong at reasoning, with a current score of 9.5 in that category. It is useful when a task requires a long chain of logic—for example, reviewing tender terms, finding contradictions in the requirements, and explaining which clauses cannot be followed at the same time. QueryWise has not published a separate reasoning score for GPT-6 Astra, so assigning it a specific number would be misleading.

GPT-6 Astra has the edge in coding: 9.5 versus 9.2 for Claude Opus 4.8. For a request such as “fix a bug in a Python service, preserve the public interface, and add tests for boundary values,” Astra looks like the stronger choice based on QueryWise measurements. Claude is not a weak alternative, though: its coding score remains high and suits architecture reviews, investigating complex failures, and explaining someone else’s project.

Speed and price in tenge

There is not yet enough data to calculate reliable median speeds for either model. QueryWise does not publish — or — for them as confirmed measurements. So it would be premature to promise that one responds faster. The better guide here is the task itself: a short question does not need an expensive long context, while a large document may justify waiting for a more detailed answer.

The price difference is much greater. An average question to Claude Opus 4.8 costs about 22 ₸, while one to GPT-6 Astra costs around 43 ₸. Astra is more expensive, which matters for regular use: several dozen requests a day can quickly become a noticeable expense. Claude is the more sensible option when you need to ask complex questions frequently and not every answer has to be especially strong at coding.

If the task is critical to the outcome—for example, preparing a database migration with backward-compatibility checks—the premium for GPT-6 Astra may be justified. For drafts, document analysis, and recurring technical clarifications, Claude Opus 4.8 is more economical. That is roughly where the line between the two models falls.

Context and task types

Claude Opus 4.8 works with a context of 1M, while GPT-6 Astra supports 1.1M. Astra has the larger window, but in practice size is not the only factor. A model must retain conditions, avoid losing exceptions, and return to the original constraints after dozens of pages.

We tested both models with real-world questions. Given “compare two versions of a supply agreement, find differences in payment deadlines, and create a risk table for the customer,” Claude Opus 4.8 confidently breaks down the logic of the clauses and explains why a particular wording creates risk. GPT-6 Astra produces a denser answer and holds the structure better when the prompt combines a table, an SQL query, and formatting requirements. This is not legal advice: a specialist should still review the agreement.

For studying, the choice depends on the format. Claude is convenient when a difficult topic needs to be explained step by step—for example, why a particular assumption is used in a theorem proof. Astra is preferable for a practical assignment where you need working code, tests, and a brief explanation of the errors right away.

There is also a third scenario: a long work document. If you need to review a 200-page technical regulation in one evening, both models offer enough context. Claude may be more cost-effective, while Astra is stronger when the final result must combine a large body of text with a programming deliverable.

Which model to choose in QueryWise

The current score winner is GPT-6 Astra. GPT-6 Astra is also ahead in coding: 9.5 versus 9.2. A published reasoning score is available for Claude Opus 4.8—9.5; Astra’s value has not been reported yet, so it would not be fair to name a numerical winner in this category.

Our practical verdict is straightforward. Choose GPT-6 Astra if your priorities are coding, complex work products, and the highest QueryWise rating—and if a price of 43 ₸ per average question works for you. Choose Claude Opus 4.8 if you value strong reasoning, a large 1M context, and a lower cost of about 22 ₸.

In QueryWise, you can run both models on the same question and see where their answers agree or diverge. That is more useful than an advertising-style ranking: on your own document or code fragment, the difference becomes clear within a couple of requests. Both models are available from Kazakhstan, accept payment in tenge, offer interfaces in Russian and Kazakh, and give new users 3 free questions to start.