True-or-false quiz: 5 common misconceptions about LLM tokens and context limits
ClickOk5811 · reddit · 2026-10-25
A Reddit quiz debunks five common misconceptions about LLM tokens: non-English text often costs more tokens than English; one word ≠ one token; the context window covers input, output and sometimes internal reasoning tokens; different tokenizers count the same text differently; and long numbers or IDs usually split into multiple tokens. Practical takeaway: cost and limits are token-based, UI character limits don't map to token budgets, so always count with the tokenizer of the model you actually call.
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