A Token is an LLM’s basic text-processing unit. English is often estimated at roughly 1 to 1.5 tokens per word, while Korean may be split into smaller syllabic units and can consume more tokens for comparable text. Because API pricing generally depends on input and output token counts, Korean-language services should account for this difference in cost planning. Context limits are also measured in tokens, so the same window may hold less Korean content than English content. Actual efficiency depends on the tokenizer and model.
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