AI agents suffer from "tokenflation," wasting time and money on simple tasks

A blog post by Rafał Strzaliński introduces the concept of "tokenflation," where AI agents use an excessive number of tokens and tool calls for simple tasks, leading to increased costs and wasted developer time. Strzaliński benchmarked 14 models, finding that a basic "Hi" prompt could trigger dozens of tool calls and significant delays, costing more in developer time than in API fees. Some models like Sonnet averaged 24 tool calls for a greeting, while others like Haiku and MiniMax experienced high failure rates or got stuck in loops. AI

IMPACT Highlights how inefficient AI agent behavior can increase operational costs and waste valuable developer time.

RANK_REASON Blog post introducing a new concept and analyzing model behavior.

Read on dev.to — LLM tag →

• DeepSeek
• fable
• Gemini 3.1 Pro
• Gemini Flash
• GPT 5.4 Mini
• GPT-5.5
• Grok
• Haiku
• John Nash
• Minimax
• Rafał Strzaliński
• sonnet
• tokenflation

• product
• infra

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