Cline

#The Hidden Cost Problem

With Cline’s BYOP (Bring Your Own Provider) model, you pay per API token. Without tracking, costs can surprise you—especially with expensive models like Claude Opus or GPT-4.

#Cline’s Built-In Cost Tracking

Cline shows real-time cost information for every interaction:

#Per-Request Costs

Each response displays:

• Input tokens used
• Output tokens generated
• Cost in USD for that request

#Session Totals

The status bar shows cumulative spending for your current session.

#Historical Data

Access the cost history panel to see spending patterns over time.

#Cost Optimization Strategies

#1. Choose the Right Model Per Task

Not every task needs the most powerful model:

Task	Recommended Model	Why
Autocomplete	Claude Haiku or local	Fast, cheap, good enough
Simple refactors	Claude Sonnet	Balance of quality/cost
Complex architecture	Claude Opus	Worth the premium
Private code	Ollama local	$0, air-gapped

#2. Minimize Context Bloat

More context = more input tokens = higher costs. Keep context lean:

// Instead of:
"Look at all files in src/ and tell me about the architecture"

// Try:
"Explain the purpose of src/services/auth.ts"

#3. Use Plan Mode for Large Tasks

Let Cline plan before acting. A 50-token plan that prevents a 5,000-token false start is worth it.

#4. Set Budget Alerts

Configure Cline to warn you when:

• A single request exceeds $X
• Daily spending hits $Y
• Session costs reach $Z

#Monthly Budget Planning

A typical development pattern:

Usage Level	Estimated Monthly Cost
Light (occasional queries)	$5-15
Moderate (daily use)	$20-50
Heavy (continuous coding)	$75-150+

#Pro Tip

Track cost-per-feature, not just total spend. If a feature costs $3 in AI assistance but saves 2 hours of work, that’s excellent ROI. If it costs $15 and you could’ve done it manually in 20 minutes, recalibrate your usage.