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Claude Opus 5 remains verbose despite laconic prompts, retaining more context

A user tested the verbosity of Claude Opus 5 compared to ChatGPT and Gemini by implementing a "laconic mode" directive. While the directive significantly reduced word count across all models, Claude Opus 5 remained the most verbose, though it retained more important contextual information than the others. This suggests Claude's hazard model prioritizes rigor over brevity, leading to longer but more comprehensive responses. AI

IMPACT Suggests differences in how LLMs balance brevity with contextual rigor, impacting user experience and information delivery.

RANK_REASON User-conducted comparative analysis of model verbosity and context retention.

Read on r/ClaudeAI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Claude Opus 5 remains verbose despite laconic prompts, retaining more context

COVERAGE [1]

  1. r/ClaudeAI TIER_2 English(EN) · /u/Beerbrewing ·

    Adding laconic instructions to Opus 5's system prompt reduced its verbosity by 62% without losing important context

    <table> <tr><td> <a href="https://www.reddit.com/r/ClaudeAI/comments/1vj0wzd/adding_laconic_instructions_to_opus_5s_system/"> <img alt="Adding laconic instructions to Opus 5's system prompt reduced its verbosity by 62% without losing important context" src="https://preview.redd.i…