7.2 How Models Differ

Large language models (LLMs) can emphasize different strengths. They may differ in Chinese or other languages, long documents, image understanding, writing style, complex reasoning, speed, price, and available tools. Even within one product, different model options may target quick everyday tasks or more demanding work.

This is like choosing transport. A bicycle, subway, and car are not universally best for every trip. For a nearby shop, the quickest option to start may be convenient; for a long group journey, space and route matter more.

Do not rely only on size or rankings

More model parameters do not automatically mean better results for your task. A benchmark is a score produced from a defined set of questions and conditions. It can provide a clue, but it may not represent your language, file format, workflow, or acceptable cost.

When comparing ChatGPT, Claude, Gemini, Qwen, DeepSeek, Kimi, Zhipu Qingyan, or other choices, do not ask only “Which is strongest?” Ask, “Which fits the kind of task I repeatedly perform?” Test the same small, non-sensitive sample and record correctness, omissions, speed, and the number of revisions needed.

Products and models change continuously, so this tutorial does not provide a permanent ranking. Recheck current names, prices, limits, and features in official product information.