Claude Code sends 33k tokens before reading the prompt; OpenCode sends 7k

systima.ai
July 12, 2026
17 min read
71/100
Summary
Claude Code uses approximately 33,000 tokens of system prompt, tool schemas, and injected scaffolding before processing a prompt, compared to OpenCode's 7,000 tokens. This results in Claude Code sending 4.7 times more tokens than OpenCode before reading user input.
Key Takeaways
- Claude Code uses approximately 33,000 tokens of system prompt and related overhead before processing a prompt, compared to OpenCode's 7,000 tokens.
- Claude Code rewrites tens of thousands of prompt-cache tokens mid-session, resulting in up to 54 times more cache token usage than OpenCode.
- A production repository's instruction file can add an average of 20,000 tokens to every request, leading to a total of 75,000 to 85,000 tokens sent before user input.
- For multi-step tasks, Claude Code can result in lower total token usage than OpenCode by batching tool calls into fewer requests.
Coverage & discussions
Hacker News · systima.ai
Community discussions
Community Sentiment
Positives
- Fable's 'curiosity' could actually enhance complex project planning, allowing subagents to explore multiple angles for thoroughness — a game changer for ambitious tasks.
- Using a minimal system prompt with Claude Code can significantly streamline interactions, tackling inefficiencies head-on and potentially saving users from excessive token consumption.
Concerns
- Claude Code's token consumption is outrageous, with subagents burning through budgets before even starting real work — it feels like a ploy to maximize profits at users' expense.
- There's a clear negative incentive for Anthropic to keep users reliant on expensive subscriptions rather than addressing inefficiencies, making it seem like they're more interested in profits than user experience.
- Token inflation is a real issue; simple tasks now require far more tokens than before, leaving users frustrated with the escalating costs for basic functionality.
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