如何使用 Grok AI：它實際上擅長什麼

There is a limited free tier available through X. Paid access comes via X Premium or SuperGrok, xAI's standalone subscription, priced at $30 a month or $300 a year as of August 2026, with a much heavier SuperGrok Heavy tier at $300 a month for long reasoning jobs and parallel agents. Message allowances change often, so check your own account rather than trusting a number in a guide.

One thing that no other assistant matches: reading public posts on X as they appear. That makes it the right tool for live sentiment, breaking events, whether a complaint is one person or a pattern, and finding the exact words customers use. Everything else it does, drafting, summarising, explaining code, is competent rather than distinctive.

Think switches Grok onto its reasoning path, working through a problem internally before answering, with the thoughts expandable so you can see the route it took. DeepSearch is research mode: it searches, shows its steps and cites sources. Treat the citations rather than the summary as the real output, since a summary is where any assistant is most likely to smooth over a source that did not quite say that.

Yes. Ask for an image in the same chat box, in plain language. Grok is quick and noticeably more permissive than rivals, which cuts both ways: fewer refusals, and more output you would not put in front of a client. Treat it as a concept sketchpad, be specific about style and composition, and keep text out of the image itself. On paid tiers, Grok Imagine extends the same idea to short animated clips.

Only as a read on what is being posted, not on what people think. Public posts on X over-represent the people with the strongest opinions and the time to post them, and the loudest cluster is frequently the smallest. Ask how many distinct accounts a sentiment claim rests on before repeating it; the answer is often surprisingly small.

Yes. A prompt that names the role, the task, the context and the output format is portable across Grok, ChatGPT, Gemini and Claude. Two things are worth adding for Grok specifically: say explicitly when you want live data, otherwise you may get training recall dressed as current, and ask it to quote actual posts so the answer is checkable.

Grok 4.5, released in July 2026, is the current flagship, with earlier versions still reachable through the API. In practice the version number affects your results far less than whether you gave the model enough context to work with.