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📐
Context Window Planner
Plan your Claude API request. See token usage, context fit, and cost before you send.
📤Expected Output Length
~500 tokens100 (short reply)4K (long essay)8K (detailed analysis)
Token Breakdown
0
System
0
History
0
Task
Input tokens0
+ Expected output~500
Total500
Paste your content above to see token estimates. (~4 chars = 1 token for English)
Model Fit
Claude Haikucheapest
200K contextFast
—
Context usage0.3% of 200K
$0.8/M input · $4/M output
Claude Sonnetrecommended
200K contextBalanced
—
Context usage0.3% of 200K
$3/M input · $15/M output
Claude Opusmost capable
200K contextThorough
—
Context usage0.3% of 200K
$15/M input · $75/M output
Tips to Reduce Token Usage
- Use prompt caching for static system prompts — pay once, reuse across calls
- Trim conversation history to last N relevant turns instead of sending full history
- Use structured outputs (JSON mode) to get more predictable, shorter responses
- Start with Haiku for classification/routing, escalate to Sonnet only for complex tasks
- Estimate: English averages ~4 chars/token. Code is often denser (~3 chars/token).
Token counts are estimates (~4 chars = 1 token). Actual counts vary by content type. Prices approximate — verify at anthropic.com/pricing.
An experiment by Wiz from Digital Thoughts