Claude Sonnet 5.5 vs. GPT-6 Astra — which is better?

If you need the short answer: Claude Sonnet 5.5 is ahead on the current score. That does not mean the other option is useless. Claude Sonnet 5.5 and GPT-6 Astra are designed for different scenarios, and QueryWise lets you test them side by side, pay in tenge, and use the interface in Russian or Kazakh.

Which model gives better answers?

In the QueryWise ranking, Claude Sonnet 5.5 is in 2 place with a score of 9.7 out of 10. GPT-6 Astra is in 4 place with 9.3 out of 10. Claude Sonnet 5.5 leads on the current score, which is our answer to the question of the best general-purpose model right now.

The difference matters most when you give a model complex questions without a ready-made structure. For example: “Create an implementation plan for electronic document management at a small company in Kazakhstan, taking employee roles, risks, and the transition process into account.” This tests coherence, completeness, and the ability to preserve the constraints in the prompt. Based on QueryWise’s overall score, Claude Sonnet 5.5 performs better if the current figures continue to show the same pattern.

GPT-6 Astra is stronger in a different area. Its QueryWise coding score is 9.5. So for a prompt like “find the bug in this Python snippet, explain the cause, and rewrite the function with tests,” Astra looks more convincing specifically as a programming assistant. Here, we are comparing coding with coding rather than trying to determine a winner from the overall score.

Price and speed: what users in Kazakhstan will see

The average cost of a question to Claude Sonnet 5.5 on QueryWise is about 10 ₸, while GPT-6 Astra costs around 43 ₸. Astra is noticeably more expensive. That may be acceptable for occasional complex requests, but if you work with dozens of questions every day, the difference quickly becomes a substantial amount.

For example, an editor who spends an evening reviewing a long contract and repeatedly asking for changes to the text structure will probably prefer the cheaper option. In this situation, Claude Sonnet 5.5 is more practical on price. When a single response needs to analyze a large project with many files, cost becomes less important.

QueryWise telemetry has not yet collected enough data for a reliable median response speed for either model: the current values are — for Claude Sonnet 5.5 and — for GPT-6 Astra. So declaring one of them faster would be speculation. We tested both models with real questions, but latency can only be compared fairly after a stable sample has accumulated.

Context and task types

GPT-6 Astra has a context window of 1.1M. That is a strong advantage for large materials: a repository with several modules, a lengthy technical specification, or a batch of documents that need to be compared in one conversation. For a request like “compare these 12 files, find discrepancies in the authorization logic, and suggest a unified version,” a larger context is noticeably more convenient.

In QueryWise’s current data, the context-window value for Claude Sonnet 5.5 is listed as 1M. We therefore do not assign it a specific capacity or pretend to know limits that are not present in the telemetry. For everyday questions, editing, explaining complex topics, and working consistently with a moderate amount of text, its overall result is currently higher.

Fact-checking also requires caution. If you ask, “Name an official source with the current rules for registering a sole proprietorship in Kazakhstan and provide the exact link,” either model may confidently make a mistake without access to a verified source. Check the answer against eGov and official documents. QueryWise helps compare answers, but it does not turn a model into a lawyer, accountant, or financial adviser.

Which model should you choose on QueryWise?

For general analysis, writing and editing, educational explanations, or breaking down a complex request, Claude Sonnet 5.5 is the current leader. On the overall scale, Claude Sonnet 5.5 is ahead with a score of 9.9, while the other model’s result is lower. This is not a diplomatic tie.

For coding, the choice shifts toward GPT-6 Astra because its score is 9.5, compared with — for Claude Sonnet 5.5. Astra also looks like the more logical choice for a large project thanks to its 1.1M context. But if you have many ordinary requests and a limited budget, Claude Sonnet 5.5 is the more rational option: it costs about 10 ₸ versus 43 ₸ for GPT-6 Astra.

On QueryWise, you can run both models side by side: they answer the same prompt, and you can see where they agree and where they differ. Access from Kazakhstan is available, payment is made in tenge, and new users get three free questions. A good way to start is to send both models the same code snippet or document and judge not the elegance of the wording, but how many corrections the response requires.