Study: Telling LLMs to be concise cuts output costs across 9 models

A study measured output compression across 9 models, finding that instructing LLMs to be concise saves money and preserves accuracy, while compressing input prompts does not. The research coincides with Claude Code's new 'concise output style' feature.
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