LLM Code Style Choices Affect Token Costs, Developer Finds
Developer Jim Mont has shared findings on how code style choices in LLM-generated output affect token counts and therefore API usage costs. Different formatting conventions and naming styles for the same code can lead to meaningfully different token counts. The post is a personal experimental report; specific numerical results are available on the author's site at jimmont.com.
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