GLM 5.1 or Claude Opus 5.5 — which is better?

Quality: the winner is clear here

QueryWise rates GLM 5.1 at 5.6 out of 10 and Claude Opus 5.5 at 9.9 out of 10. In the overall ranking, GLM 5.1 is in 28 place and Claude Opus 5.5 is in 1 place. The current QueryWise leader is Claude Opus 5.5, with a score of 9.9.

Claude Opus 5.5 leads on the current score. This is not just a formal difference in model names: the result affects how often you need to clarify a prompt, fact-check the response, and rework the finished text. GLM 5.1 looks stronger for its price, but Claude Opus 5.5 is currently on another level in the overall assessment.

GLM 5.1 has separate QueryWise metrics: coding — 7.5, reasoning — 8.9. These subscores are not published for Claude Opus 5.5 in the current dataset, so assigning it specific values would be misleading. The overall comparison still favors Claude Opus 5.5.

Price and speed: savings versus quality headroom

An average question to GLM 5.1 costs about 10 ₸, while one to Claude Opus 5.5 costs around 18 ₸. Claude is more expensive, which matters if you run dozens of short requests through a model every day: translations, email drafts, or simple code explanations.

GLM 5.1 is a sensible choice when the budget is limited and the task is clear in advance. For example, you might analyze a contract’s structure in one evening, get a list of disputed clauses, and turn it into a table for further review. This is not legal advice, though: a professional should verify the model’s conclusions.

So we cannot promise that one model will always answer faster. In this comparison, the price is known, but there is not yet an honest conclusion about speed.

Context and task types

GLM 5.1 has a context window of 205K, compared with 1M for Claude Opus 5.5. Anyone working with large materials will notice this difference. When you need to upload a long conversation, several technical documents, or a large project and ask questions about the entire collection, Claude Opus 5.5 has more room to work.

GLM 5.1 is useful for tasks where cost and a structured result matter. A request such as “compare these two APIs by authentication, limits, and error handling” can be turned into a clean table. Its reasoning score of 8.9 looks convincing, while its coding score of 7.5 makes GLM 5.1 a practical assistant for small scripts and fixes.

We ran this concrete request through both models: “Write a Python function that reads a CSV containing Kazakhstani phone numbers, normalizes them to the +7 format, and returns the rows with errors.” This is a good working scenario for GLM 5.1: its answer can serve as a starting point, but tests and handling of unusual numbers need to be checked. Choose Claude Opus 5.5 when the function also needs architectural decisions, testing, and an explanation of trade-offs.

For learning, the best choice depends on the question. GLM 5.1 is more cost-effective for working through several topics or getting a study plan. Claude Opus 5.5 is preferable when you need to connect a long study resource, find contradictions between chapters, and explain a difficult topic in several ways.

Where the models agree

In QueryWise, you can send the same prompt to both models and see where they agree. This is more useful than choosing based on marketing copy: matching parts provide a working foundation, while discrepancies show what needs to be checked. For financial, medical, and legal decisions, this approach does not replace a professional.

Our honest verdict

If you need the best possible result and the task is complex, the winner is Claude Opus 5.5: it leads on the current score, and Claude Opus 5.5 also offers a context window of 1M. A price of about 18 ₸ per average question is justified when an error or another round of editing would cost more.

If saving money on regular simple requests matters more, choose GLM 5.1 at about 10 ₸. It is especially suitable for short coding tasks, text structuring, and educational explanations. But for long documents, complex design, and multi-step analysis, Claude Opus 5.5 has the stronger position.

Both models are available in QueryWise from Kazakhstan: you can pay in tenge, choose a Russian or Kazakh interface, and get three free questions to start. Our practical choice is GLM 5.1 for a cost-conscious workflow and Claude Opus 5.5 for tasks where quality matters more than price.