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&lt;/script&gt;</html><thumbnail_url>https://shadhinlab.com/wp-content/uploads/2026/11/AI-Tokens-Explained.jpg</thumbnail_url><thumbnail_width>950</thumbnail_width><thumbnail_height>450</thumbnail_height><description>When you ask an AI chatbot a question, summarize a document, or build an AI-powered application, you may encounter token limits, usage quotas, or unexpected API costs. Understanding AI tokens helps explain why these issues occur. AI models process information using tokens rather than treating every word as a single unit. A token can represent a complete word, part of a word, punctuation, or another text element, depending on the model&#x2019;s tokenizer. Tokens influence how AI models process information, how much content they can handle within a context window, and how usage is measured or billed. This guide explains how AI tokens work, what affects token consumption, and how businesses [&hellip;]</description></oembed>
