Dictionary entry Trending
token waste
also wasted tokens or LLM token waste or AI token waste
Definition of token waste
-
: 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.
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
- Quantifying Information Gain and Redundancy in Multi-Turn LLM Conversations↗ NeurIPS 2025 Workshop on Multi-Turn Interactions in LLMs · 2025
- The Mythical Token Month: Reprompting and Token Waste↗ Gartner · 2026-06-25
- How Do AI Agents Waste Your Money?↗ arXiv · 2026-11-04
Test yourself
Which of these is the meaning of token waste?
Cite this entry
"Token waste." AI Dictionary, Dadgogo, https://dadgogo.com/dictionary/token-waste/. Accessed 7 Nov. 2026.