Dev.to
7/14/2026

The user wants me to rewrite a news headline for a mobile feed. Let me analyze the original:
Original: Claude Code burns 5x more tokens before you type a word. Here's where they go.
Short summary
A logging proxy study by Systima reveals Claude Code burns ~33k tokens before user input vs OpenCode's ~7k, due to 27 tool schemas, injected reminder blocks, and a larger system prompt. Subagent fan-out multiplies session cost by 4.2x, and unstable cache prefixes cause expensive mid-session rewrites. The harness, config, and subagent usage — not the model — are the real cost drivers in production AI coding setups.
- •Claude Code opens sessions with ~33k tokens vs OpenCode's ~7k before any user input
- •Subagent fan-out can silently 4x session token costs; 72KB instruction files add 20k tokens per request
- •Instrument at the API boundary, not the dashboard, to find where tokens actually go
Generated with AI, which can make mistakes.
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