GPT-5.6 Luna or Claude Opus 5.5 — which is better?
GPT-5.6 Luna is considerably cheaper, while Claude Opus 5.5 currently leads the QueryWise ranking. We look at when the savings make sense and when it is worth paying more for a stronger current result.
Anthropic
9.9 / 10
Answer speed: — · Price per question: ≈18 ₸ · Context: 1M
Overview →Scores 0–10 on the QueryWise scale: a composite per-dimension estimate factoring in our speed and reliability measurements.
| Criterion | GPT-5.6 Luna | Claude Opus 5.5 |
|---|---|---|
| Overall score | 7.1 | 9.9 |
| Coding | 8.9 | — |
| Price per question | ≈10 ₸ | ≈18 ₸ |
| Context | 1.1M | 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 GPT-5.6 Luna and Claude Opus 5.5 answer together — you instantly see where they agree and where they differ.
Claude Opus 5.5 currently leads on overall quality
In the QueryWise ranking, Claude Opus 5.5 is in 1 place with a score of 9.9 out of 10. GPT-5.6 Luna is in 21 place with 7.1. By the current score, Claude Opus 5.5 is ahead at 9.9.
This is more than a cosmetic difference. If you need one reliable, general-purpose answer to a difficult prompt, Claude Opus 5.5 looks like the safer choice based on its overall QueryWise score. Luna is far from a weak model, though: it performs particularly well in coding, with a score of 8.9 out of 10. A separate coding score has not yet been published for Claude Opus 5.5, so it would be premature to declare a winner in this category.
The overall ranking answers the question of general model quality, but it does not replace a task-specific evaluation.
Pricing in tenge can change the decision
An average question to GPT-5.6 Luna costs about 10 ₸, while the same question to Claude Opus 5.5 costs around 18 ₸. Claude is more expensive, and the difference becomes noticeable when you ask dozens of questions every day.
For one-off work, the gap is modest. For example, if you need to review a 200-page contract in one evening, write a concise summary and identify contradictions, paying extra for Claude may be sensible. For regular coding, drafts and quick follow-up questions, Luna is more practical: its low price means you do not have to count every request.
So claiming that one model responds faster would be speculation. For speed comparisons, wait until QueryWise telemetry has collected enough observations.
A large context window helps, but size is not everything
GPT-5.6 Luna has a context size of 1.1M, compared with 1M for Claude Opus 5.5. Both figures are designed for long materials: you can upload several chapters of research, a large project document or a conversation history without splitting the task into dozens of parts.
But an equally large context does not guarantee an equally good answer. Consider this prompt: “Compare the terms of two supply contracts, highlight late-delivery penalties and identify conflicting clauses.” Claude Opus 5.5 is the more sensible first choice if overall quality and the current leading score matter most. Luna is worth testing second, especially when you need a comparison table quickly and at a lower cost.
Another scenario: “Fix a Python function that loses records during repeated processing, explain why it happens and add tests.” GPT-5.6 Luna is interesting for this kind of request because of its 8.9 coding score. We tested the model with code-related questions and found that it confidently analyzes the error structure and suggests a test case. The result still needs to be run, because the model cannot see your working environment.
For studying, the difference depends on the format of the prompt. Luna is convenient when you need an inexpensive explanation of a formula, a paragraph rewritten in plain language or several alternative explanations. Claude is the better first choice when you need to connect a long set of notes with exercises without losing conditions from the beginning of the document.
What to choose in QueryWise
For the highest quality according to the current ranking, choose Claude Opus 5.5. It ranks 1, scores 9.9 out of 10 and leads QueryWise with the current value of 9.9. It is the right choice for complex documents, long instructions and situations where fixing an error costs more than paying extra for a request.
For budget-friendly coding and frequent questions, choose GPT-5.6 Luna. It costs approximately 10 ₸, and its coding score is 8.9. Luna has a clear niche: many iterations, short technical tasks and workflows where the cost of each request matters.
In QueryWise, you can run both models on the same question and see where they agree and where they diverge. That is more useful than marketing promises: Claude may produce the better final answer, while Luna can sometimes spot a specific coding error faster. Both models are available from Kazakhstan, support payment in tenge and offer interfaces in Russian and Kazakh. New users get 3 free questions at the start.
Our verdict is simple: Claude Opus 5.5 wins on the current score. GPT-5.6 Luna is more attractive on price and confirmed coding performance; Claude Opus 5.5 leads on the overall QueryWise score and is the stronger choice for difficult, general-purpose work. Neither model replaces a lawyer, doctor or financial adviser.
FAQ
Which is better for coding: GPT-5.6 Luna or Claude Opus 5.5?
Which model is cheaper in QueryWise?
Can I try both models for free from Kazakhstan?
Which model is better for studying?
Is GPT-5.6 Luna better than ChatGPT?
Is Claude Opus 5.5 better than GPT-5.6 Luna?
Better yet — do not choose
In QueryWise GPT-5.6 Luna and Claude Opus 5.5 answer together — you instantly see where they agree and where they differ.
Start for free →3 questions free, no card