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token waste

noun \ˈtō-kən ˈwāst\

also wasted tokens or LLM token waste or AI token waste

Definition of token waste

  1. : model input or output tokens that consume money, time, context capacity, or computing resources without materially improving the result of an AI task

    • The team found that repeatedly sending the full tool log created more token waste than the model's final answer.
    • Removing duplicated searches reduced token waste without lowering the agent's task-completion rate.
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Origin & history

The phrase became common in AI engineering as token-based pricing and long-running agent loops made unnecessary context, repetition, and reasoning directly measurable as cost. By 2025, researchers were proposing a token waste ratio for redundant model output; in 2026, research on AI-agent trajectories measured removable reasoning and execution spans as token waste.

Editorial references

Sources & further reading

3 sources
  1. Quantifying Information Gain and Redundancy in Multi-Turn LLM Conversations NeurIPS 2025 Workshop on Multi-Turn Interactions in LLMs · 2025
  2. The Mythical Token Month: Reprompting and Token Waste Gartner · 2026-06-25
  3. How Do AI Agents Waste Your Money? arXiv · 2026-11-04

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Cite this entry

"Token waste." AI Dictionary, Dadgogo, https://dadgogo.com/dictionary/token-waste/. Accessed 7 Nov. 2026.

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