AI Agent Workflow Cost
Agentic workflows are powerful but can be expensive. Use this calculator to model your costs before deploying complex AI agents.
Why are AI agents more expensive than simple chatbots?
Agents typically involve "Chain of Thought" reasoning, which means they make multiple API calls (steps) to fulfill a single request. Each step consumes tokens, leading to higher cumulative costs.
How do I optimize AI agent costs?
Use smaller models (like GPT-4o-mini) for intermediate steps and routing, and reserve high-intelligence models (like GPT-4o or Claude 3.5 Sonnet) only for the final synthesis or complex decision-making.
What is a "step" in an AI agent workflow?
A step is any discrete action taken by the agent, such as searching the web, querying a database, reflecting on a previous response, or formatting the final output.
Can I set a budget limit for AI agents?
Yes, most developers implement "token caps" or a maximum number of iterations (e.g., max 5 steps) to prevent agents from entering infinite loops and inflating costs.