GPT-4与Claude的提示延迟：2.1秒差距解析

Feeding the same system prompt to GPT-4 and Claude 3.5 Sonnet for a code generation task yielded significantly different results: GPT-4 produced 47 lines of Python code, while Claude generated 89 lines, including three unsolicited helper functions. This discrepancy was consistent across over 50 test runs involving classification, summarization, and coding tasks, with output lengths diverging by an average of 40-60%. The stylistic differences were so pronounced that it necessitated a complete rewrite of downstream parsing logic. Most prompt engineering guides incorrectly assume that 'good prompting' is model-agnostic. What works well for GPT-4 can lead to verbose and over-engineered responses in Claude, and vice versa.