Equipping Claude Code
10. Context
Understand how Claude Code manages context and the token window. Techniques to keep conversations productive and efficient.
The context window is Claude's "working memory" during a session — everything the model can "see" when generating a response. In current Claude models, it is 200,000 tokens (~500 pages of text). However, in practice, the usable space is considerably smaller.
Why isn't the real limit 200K?
Part of the 200K tokens is consumed by fixed elements that Claude Code loads automatically in every interaction:
| Component | Approx. consumption | What it is |
|---|---|---|
| Auto-compact buffer | ~33K tokens (16.5%) | Fixed reserve for summarization and response generation |
| System tools | ~17K tokens (8.4%) | Internal tool definitions (Read, Edit, Bash, etc.) |
| Memory files | ~7K tokens (3.7%) | Project CLAUDE.md + global + auto-memory |
| System prompt | ~3K tokens (1.3%) | Claude Code internal instructions |
| Plugins, skills, and agents | ~2K+ tokens | Each installed plugin/skill adds overhead |
Adding it all up, ~60K tokens (~30%) are consumed before you even type your first prompt. That's why auto-compact triggers when usage reaches ~83% — not 100%. In practice, the actual space for your conversation is approximately ~160-165K tokens.
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