Claude Opus 5 or GPT-6 Astra: which is better in QueryWise?
Claude Opus 5 and GPT-6 Astra sit close together in the QueryWise ranking, but they are not equivalent choices. One is noticeably cheaper, while the other currently leads on the overall score. We compare quality, price in tenge, long documents, and practical work scenarios.
Anthropic
9.0 / 10
Answer speed: — · Price per question: ≈22 ₸ · Context: 1M
Overview →Scores 0–10 on the QueryWise scale: a composite per-dimension estimate factoring in our speed and reliability measurements.
| Criterion | Claude Opus 5 | GPT-6 Astra |
|---|---|---|
| Overall score | 9.0 | 9.3 |
| Coding | 9.5 | 9.5 |
| Price per question | ≈22 ₸ | ≈43 ₸ |
| Context | 1M | 1.1M |
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 Claude Opus 5 and GPT-6 Astra answer together — you instantly see where they agree and where they differ.
Quality: GPT-6 Astra leads on the current score
In the QueryWise ranking, Claude Opus 5 scores 9.0 out of 10 and ranks 7. GPT-6 Astra scores 9.3 out of 10 and ranks 4. So the current verdict is straightforward: GPT-6 Astra is ahead with a result of. The situation can change from hour to hour, which is why we use live values instead of a static table.
The models are almost evenly matched for coding: Claude Opus 5 scores 9.5, while GPT-6 Astra scores 9.5. Both are strong options for reviewing pull requests, finding an error in an SQL query, or explaining someone else’s Python code. Neither has a clear coding edge, so paying extra for Astra solely for programming is hard to justify.
For reasoning, QueryWise currently shows — for Claude Opus 5 and — for GPT-6 Astra. Here, it makes more sense to consider the overall score and the specific task instead of pretending that one model is automatically better at everything.
Speed and price in tenge
It would therefore be misleading to promise that one is faster in every chat. The difference may be barely noticeable for a short question, while a long document is affected more by input length and response complexity.
Price is easier to distinguish. An average question costs about 22 ₸ with Claude Opus 5 and about 43 ₸ with GPT-6 Astra. Astra costs more, so Claude looks like the more practical option for frequent short requests involving code, translation, or summaries. If the task is complex and the cost of a mistake exceeds the price of one request, Astra’s higher current overall score may justify the extra spend.
We tested both models with real questions. Given the prompt “find the cause of an error in an SQL query with a window function and suggest a fix while preserving the grouped results,” both models confidently analyze the query structure and provide a workable direction. In this scenario, their identical coding scores matter more than the price difference: Claude is better value for a series of similar checks, while Astra gains no special advantage simply from its name.
Context and task types
Claude Opus 5 works with 1M of context, while GPT-6 Astra supports 1.1M. This difference becomes noticeable with a large folder of documents—for example, when you need to review a contract in Kazakh and Russian in one evening, find contradictions between its appendices, and prepare a list of questions for a lawyer. Astra’s larger context is more convenient when all the material needs to stay in a single prompt.
Claude is especially practical when price and careful text handling matter. Suppose you have a 200-page internal policy and need to extract procurement requirements, approval deadlines, and places where terms are used inconsistently. You should still verify every quotation against the original, but Claude’s price looks more attractive for an initial pass.
GPT-6 Astra is the more logical choice for a complex analytical task that requires connecting many conditions. For example: compare data from several reports, find discrepancies, explain possible causes, and prepare a verification plan for the team. Here, its QueryWise advantage on the overall score matters more than the higher price per question.
For studying, the better option depends on the request. Both models work well for explaining a topic in simple language, creating an exam-preparation plan, or checking a solution. If you ask the model to analyze a long set of materials without losing definitions from the beginning of the file, GPT-6 Astra gets a practical advantage from its 1.1M context compared with 1M.
What to choose in QueryWise
Choose Claude Opus 5 when you have many requests, a limited budget, and a task involving code, text, or a step-by-step document review. Its average question costs about 22 ₸, while its coding score of 9.5 matches Astra’s 9.5. It is a solid choice for everyday work.
Choose GPT-6 Astra when the highest current score, a large context, and complex analysis matter most. The QueryWise ranking currently puts GPT-6 Astra ahead, while Astra has a result of 9.3 and a rank of 4. The extra cost of about 43 ₸ is not always justified, but for one important request it can be a reasonable form of insurance.
In QueryWise, the two models perform close enough that you can send the same question to Claude Opus 5 and GPT-6 Astra and immediately see where they agree and where they differ. Our honest choice based on today’s overall score is GPT-6 Astra. Claude Opus 5 remains stronger on price and coding, while GPT-6 Astra looks better for larger contexts and complex multi-part tasks. Neither model replaces a qualified professional for medical, legal, or financial matters.
FAQ
Which is better for coding: Claude Opus 5 or GPT-6 Astra?
Which model is better for studying?
Which model is cheaper in QueryWise?
Can I try Claude Opus 5 and GPT-6 Astra in Kazakhstan?
Is GPT-6 Astra better than ChatGPT?
Who is currently ahead: Claude Opus 5 or GPT-6 Astra?
Better yet — do not choose
In QueryWise Claude Opus 5 and GPT-6 Astra answer together — you instantly see where they agree and where they differ.
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