AI Agent Cost Calculator
Estimate the total monthly cost of deploying AI agents โ API calls, tokens, tool use, and infrastructure.
AI agents are autonomous systems that use LLMs to complete multi-step tasks โ from customer support bots to data processing pipelines and coding assistants.
Unlike simple API calls, agents make multiple LLM requests per task, use tools, and require orchestration infrastructure. This calculator helps you estimate the true cost of running AI agents at scale.
How AI Agent Costs Are Calculated
- Task volume โ Agents ร tasks/day ร 30
- LLM calls โ Each task = multiple reasoning steps
- Token costs โ Input and output priced per million
- Tool costs โ External API calls per invocation
- Infrastructure โ Hosting, orchestration, monitoring
Formulas
Total LLM Calls = Agents ร Tasks/Day ร 30 ร Steps/Task
Token Cost = (Input_Tokens ร Input_Price + Output_Tokens ร Output_Price) / 1M
Tool Cost = LLM_Calls ร Tool_Rate% ร Cost_Per_Tool_Call
Total Cost = Token_Cost + Tool_Cost + Infrastructure
Pro Tips
- โข Use smaller models for routing, reserve Opus/GPT-4.5 for complex reasoning
- โข Cache frequent prompts โ reduces input token costs by 50-90%
- โข Set max iteration limits (5-10 steps) to control agent loop costs
- โข Monitor cost per task weekly โ prompt regression can 10x your bill