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LLM cost optimization

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DataFunTalk
DataFunTalk
Jul 5, 2026 · Artificial Intelligence

Why Compressing Prompts Can Raise Costs 2.7× – Insights from the Caveman Token Trap Paper

Although the Caveman plugin claims up to 65% token reduction, independent testing shows real‑world coding sessions only save 4‑10% and that aggressive input compression can actually increase costs by up to 2.7×, because token consumption is dominated by code generation, file reads, and multi‑step Agentic workflows; the article dissects benchmarks, Uber’s budget crisis, and the practical limits of prompt compression.

AI agentsBenchmarkCaveman
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Why Compressing Prompts Can Raise Costs 2.7× – Insights from the Caveman Token Trap Paper