AI for Large Documents and Long Chats

A large context window does not guarantee anything by itself. A model may accept a huge file and then lose an important caveat in the middle, confuse different contract versions, or confidently invent facts that are not there. That is why QueryWise evaluates a combination of factors: context size, performance on long prompts, response time, and the approximate cost of one question in tenge.

How to read the top positions

GPT-5.6 Sol currently holds first place with a score of 9.7. With a speed of around 8 seconds, a price of approximately 13 tenge per question, and a context of 1.1M, it is a good choice for people who regularly work with large files and do not want to sacrifice pace. We added it to our catalogue: with long materials, it becomes especially clear when a model can point to the relevant section instead of retelling the document in broad terms.

In second place is GPT-5.6 Terra, with a score of 9.1. The model offers a context of 1.1M, while the estimated price is 10 tenge per question. This option makes sense for those who prioritize cost efficiency when working with long texts such as reports, educational materials, and internal instructions. If you need an answer urgently, check the speed figure — it may not currently be listed for this position.

GPT-5.5 takes third place with a score of 9.0. Its context is 1.1M, the cost per question is about 25 tenge, and an answer appears in approximately — seconds. This position suits careful analysis of large documents when waiting a few dozen seconds is not a problem. In tests of this kind, we value accurate detail retrieval more than impressive but empty brevity.

Where long context is genuinely useful

For a contract, it makes it possible to compare definitions at the beginning of the text with restrictions in the appendices. For a researcher, it means uploading several papers and asking the model to identify differences in methodology. In a long chat, the model retains the original conditions for longer, but its memory is not infallible: it is still best to repeat the key requirements in the final prompt.

A large context comes at a cost. Cheaper models may respond faster and cost around ten tenge per question, but they are more likely to simplify complex relationships, handle tables poorly, or miss rare details. An expensive option is not always justified either: if a request consists of only a couple of paragraphs, one million tokens will go unused. Our advice is simple — compare not the maximum limit, but the document types, request frequency, and acceptable waiting time.

This is an analysis assistant, not medical, legal, or financial advice. For sensitive matters, verify quotations against the original and do not upload confidential data without permission.