Claude Code sends 33k tokens before prompt, OpenCode sends 7k
Tool · Hacker News · stat: 33k tkns A Systima.ai analysis reveals significant token overhead in coding LLMs before processing user input. Anthropic's Claude Code model sends a 33k-token system…
Tool · Hacker News · stat: 33k tkns
A Systima.ai analysis reveals significant token overhead in coding LLMs before processing user input. Anthropic's Claude Code model sends a 33k-token system prompt, while OpenCode's model sends 7k tokens. This hidden usage consumes context window and increases API costs for developers using the models.
Model overhead is a key developer consideration. Founders must account for hidden system prompt costs when calculating the unit economics of AI features.
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