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TutorialJan 15, 20267 min read

Understanding Your AI Agent's API Costs

A breakdown of how API costs accumulate across Anthropic, OpenAI, and other providers—and how to track them effectively.

Understanding Your AI Agent's API Costs

The Hidden Cost of AI Agents

When you run an AI agent, every interaction costs money. Understanding these costs is crucial for budgeting and optimization.

How Pricing Works

Anthropic (Claude)

  • Input tokens: $3 per million tokens (Claude 3 Sonnet)
  • Output tokens: $15 per million tokens
  • Context window: 200K tokens

OpenAI (GPT-4)

  • Input tokens: $10 per million tokens (GPT-4 Turbo)
  • Output tokens: $30 per million tokens
  • Context window: 128K tokens

Real-World Cost Examples

A typical coding session with an AI agent might involve:

  • 50 back-and-forth messages
  • Average 2,000 input tokens per message
  • Average 1,500 output tokens per response

Total cost: Roughly $2-5 per session depending on the model.

Tips for Cost Optimization

  1. Choose the right model - Use smaller models for simple tasks
  2. Be concise - Shorter prompts = lower costs
  3. Cache when possible - Avoid redundant API calls
  4. Set budgets - Use provider dashboards to set spending limits

AutoClaw's Cost Tracking

AutoClaw includes built-in cost tracking so you always know exactly what you're spending. No surprises at the end of the month.