Written and reviewed by Manish Kulkarni · About the author
With so many AI tools around, it is tempting to read comparisons for days before picking one. In practice, the big general-purpose assistants (ChatGPT, Claude and Gemini) all handle most everyday tasks well. The differences matter more at an advanced level than when you are starting out.
To see the differences for myself, I gave three assistants the same prompt: "Explain what a token is in AI, in three sentences for a beginner."
Gemini said a token is the basic unit of text, such as a word, part of a word or a punctuation mark, that the model breaks sentences into so it can process them. It added that the model turns these fragments into numbers, and that one token is roughly four characters or three-quarters of an English word.
Claude gave a very similar definition, then added that the model's reply is built one token at a time, and that AI tools measure limits and pricing in tokens rather than words.
ChatGPT also described a token as a small chunk of text, and was the only one to give a concrete example: a short phrase might split into several tokens instead of exactly three words. It ended by saying that the number of tokens affects how much text the AI can handle at once and, for some services, how usage is measured.
All three answers were correct, clear and three sentences long, so for a simple question the choice barely mattered. The differences were small. Gemini gave the most precise size rule (about four characters per token). ChatGPT gave the only worked example. Claude tied tokens to limits and pricing most directly. I preferred Claude's answer, mainly because it felt more specific to me, and it tied the idea to things I will actually meet when using AI tools.
Switch if you keep needing something your tool does poorly, such as heavy coding help, live web search or a specific integration. Switching because of hype about a competitor is rarely worth it.
Once you know what you use AI for, the Which AI Should I Use? guide offers a task-by-task comparison, and the Tools page has more detailed reviews. Whichever you pick, check anything important against a primary source (see Fact-Checking AI Output).
Generally no — start with free tiers to understand your actual usage patterns before committing to a paid plan.
As a beginner, yes — this simplifies learning. The Skilled track covers when and why combining multiple tools becomes worthwhile.
Not significantly — the prompting and evaluation skills you build transfer well across tools, so starting with any major capable assistant is a reasonable, low-risk choice.