Claude Opus 5.5 or GPT-6 Astra — which is better?

Response quality: Claude leads

In the current QueryWise ranking, Claude Opus 5.5 is in 1 place with a score of 9.9 out of 10. GPT-6 Astra is in 4 place with 9.3 out of 10. Overall, Claude Opus 5.5 is ahead: its current Claude Opus 5.5 score reflects stronger combined performance across QueryWise tests.

The gap is noticeable, but it does not erase Astra’s strengths. QueryWise lists a coding score of 9.5 for GPT-6 Astra.

Our practical prompt for both models was: “Analyze a 200-page supply contract, identify late-delivery penalties, the settlement currency, and clauses that require review by a lawyer.” Claude handles the long structure confidently and organizes the terms by section. Astra is useful too, but in this scenario we double-check its references to contract clauses: a long answer is more likely to drift into summary instead of producing a precise obligations table. This is not legal advice, but an example of testing text-processing quality.

Price and speed: the difference shows up in your wallet

The estimated cost of an average Claude Opus 5.5 question on QueryWise is about 18 ₸. GPT-6 Astra costs more: roughly 43 ₸ per question. With regular use, that is no longer trivial. At ten requests a day, the difference becomes a noticeable monthly sum, especially when some questions do not require a flagship model.

QueryWise does not yet have enough data for a reliable median response-time comparison: the figures are — for Claude and — for GPT-6 Astra. Calling one model faster would therefore be speculation. In real work, latency depends on document length, the selected mode, and system load—not just the model name.

The practical cost conclusion is straightforward. Claude makes more sense for a difficult one-off request where the cost of an error is higher than the cost of the answer. Astra looks expensive for short everyday questions, but its 9.5 coding score makes the cost worthwhile when you need to find a bug in a project or explain an architectural decision.

Context and task types

Claude Opus 5.5 works with a context of 1M, while GPT-6 Astra offers 1.1M. Both provide plenty of room for a large report, a batch of internal guidelines, or several related files. But a large context window does not guarantee accuracy by itself. The model still has to find the relevant passage and retain a condition from the beginning of the document.

I would choose Claude for an evening spent reviewing a long contract, a research report, or a set of product requirements. It is better suited to maintaining a line of reasoning over long inputs, comparing sections, and producing a clean structure. That is also useful for study: when preparing for an exam, the answer may need to draw on several chapters rather than general knowledge.

GPT-6 Astra looks more convincing for coding. Ask it to find the cause of an error in an asynchronous Python service, suggest a fix, and write tests for the problematic section. Here, 9.5 says more than the overall ranking: Astra is geared toward tracing program execution and then proposing a verifiable change. Claude can also be used for code, but — does not justify promising it an advantage.

There is a third scenario: short questions about Kazakhstani practice, internal regulations, or drafting a business letter. For these, paying extra for Astra is not always justified. QueryWise places both models side by side, making it easy to see where they agree and where one adds a caveat or suggests a different approach. This is more useful than relying on a single answer when the question involves money, documents, or a technical decision.

An honest verdict

On the current overall score, Claude Opus 5.5 leads with 9.9. For long documents, complex analysis, and tasks where answer coherence matters, choosing the leader is sensible. At around 18 ₸, Claude Opus 5.5 is also easier to justify for regular questions.

The coding verdict is different: GPT-6 Astra scores 9.5, so it is the better choice when you are fixing a specific code fragment, reviewing tests, or designing an API. Both models can handle short study questions, but Astra costs about 43 ₸, making Claude more practical when there is no special focus on code.

Both models are available on QueryWise from Kazakhstan: payments are made in tenge, the interface is available in Russian and Kazakh, and new users receive three free questions at the start. You can try both models without a separate subscription. After that, the difference becomes clearer from your own documents and code—not from advertising.