GPT-5.6 Terra vs. Claude Opus 5.5: which is better?

Quality: Claude Opus 5.5 is currently ahead

On the QueryWise leaderboard, GPT-5.6 Terra scores 7.8 out of 10 and ranks 15. Claude Opus 5.5 scores 9.9 out of 10 and sits at 1. By the current score, Claude Opus 5.5 leads with 9.9. This is not just a formal difference in the label: when choosing a model for a difficult task, it helps determine which one should get the first prompt.

Claude Opus 5.5 currently tops the QueryWise leaderboard. GPT-5.6 Terra looks less versatile, but its profile is easier to assess from the available sub-score: it gets 9.5 out of 10 for coding. No separate coding score is currently listed for Claude, so a direct comparison on this scale would not be fair.

We do not fill gaps in the data with an attractive-looking number. Claude’s lead is confirmed in the overall ranking, while QueryWise shows only the individual metrics for which current measurements are available.

Price and speed: Terra costs less

An average question to GPT-5.6 Terra on QueryWise costs about 10 ₸, compared with roughly 18 ₸ for Claude Opus 5.5. The difference becomes clear even in a normal run of prompts. If you send ten questions in an evening, Terra will cost about 10 × 10, while Claude will require around 18 × 10. The final amount depends on the length of the prompt and response, but the spending order is immediately apparent.

That makes GPT-5.6 Terra a strong choice for draft work: fixing a function, rewriting a paragraph, explaining an SQL error, or outlining a report. Claude Opus 5.5 costs more, but its current QueryWise score makes sense when one mistake would cost more than a few extra tenge.

We do not yet have enough data for a median response speed: the figures currently used are — for GPT-5.6 Terra and — for Claude Opus 5.5. So calling one of them faster would be speculation. Our reliability measurements are also not yet sufficient for an honest numerical comparison.

Context and task types

GPT-5.6 Terra supports a context of 1.1M, while Claude Opus 5.5 supports 1M. Both windows are designed for substantial material: a contract, technical documentation, an archive of messages, or several chapters of research. But size alone does not guarantee an accurate answer. A model can take in the entire file and still get a detail wrong.

At QueryWise, we tested both models with real-world questions. A useful Terra scenario looks like this: “Find the cause of the error in this Python snippet’s asynchronous handler and suggest the smallest possible patch.” With an available coding score of 9.5, GPT-5.6 Terra is especially suitable for tasks like this. Give it the specific code, the error message, and constraints such as not changing the function’s public interface.

Claude Opus 5.5 is the more sensible choice for a long prompt with several conditions. For example: “Compare two versions of an internal policy, list the changes by section, identify contradictions, and do not draw conclusions where the text provides no basis.” Here, the higher overall score of 9.9 matters more than the price difference. The model receives a complex structure and has to preserve it through to the final answer.

For study, the right choice depends on the task. If you need to work through a 200-page contract in one evening and prepare questions for your instructor, Claude Opus 5.5 looks preferable according to the current ranking. If you need to analyze five small coding exercises on a budget, GPT-5.6 Terra is more practical. In both cases, check citations and calculations: these are assistants, not sources of medical, legal, or financial advice.

Using them side by side

On QueryWise, you can run both models on the same question and see where they agree. For example, ask them to check a commission formula and explain the assumptions separately. If Terra and Claude produce the same result, that is a useful signal, but not proof that it is correct. If the answers differ, examine the intermediate calculations and source data rather than the confidence of the wording.

For users in Kazakhstan, the conditions are equally convenient: both models are available on QueryWise, payments are made in tenge, the interface is available in Russian and Kazakh, and new users receive three free questions to start.

Verdict by use case

For the highest quality based on the current score, choose Claude Opus 5.5. Claude Opus 5.5 leads the overall ranking with 9.9 and remains the choice for long, multi-part prompts where accuracy and retaining all conditions matter.

For coding on a limited budget, the more practical choice is GPT-5.6 Terra: it costs about 10 ₸ per average question and has a coding sub-score of 9.5. It is a good option for fixing bugs, generating small functions, and explaining someone else’s code.

The bottom line is simple: choose Claude Opus 5.5 when the current QueryWise result is the priority; choose GPT-5.6 Terra when price and a strong, confirmed coding score matter most. Check the live values 7.8 and 9.9 for the latest lead, because the QueryWise ranking updates every hour.