🤖 Large Language Models

You're Burning 97% More on LLM Tokens Than You Need—Here's Proof and the Fix

Every bloated JSON payload you shove into an LLM is torching your budget—97% waste on unused data. One dev's fix turns $45k calls into $1, no fancy tricks needed.

Chart comparing raw JSON 1500 tokens vs cleaned 60 tokens for 97% LLM cost savings

⚡ Key Takeaways

  • Ditch raw JSON inputs to LLMs—extract only essentials for 97% token savings. 𝕏
  • Manual parsing sucks; use query engines like JSON PowerExtract for clean pipelines. 𝕏
  • Input optimization trumps prompt tweaks—efficiency is AI profit. 𝕏
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Originally reported by dev.to

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