AI Agent Cost Simulator
Estimate the monthly API cost of running an AI agent. Configure orchestrator and worker models, turns, tool calls, and see how context growth impacts your bill. Free, no sign-up.
Models
40% orchestrator, 60% worker
Agent Behavior
Scale
Tasks/month: 1,500
LLM calls/month: 7,500
Tokens/task (in): 28.0K
Tokens/task (out): 1.5K
$0.059Per Task
$2.93Daily
$87.98Monthly
7,500API Calls/Month
Cost Breakdown
Orchestrator (Claude Sonnet 4.6): $0.054/taskWorker (Claude Haiku 4.5): $0.0043/task
Context Growth Per Turn
Each turn accumulates prior outputs and tool results, growing the input context.
Optimization Tips
- Enable prompt caching to save ~74% per task ($65.51/mo).
What If You Switched Orchestrator?
| Model | Provider | Monthly Cost | vs Current |
|---|---|---|---|
| Claude Sonnet 4.6 (current) | Anthropic | $87.98 | — |
| GPT-5 Nano | OpenAI | $8.02 | Save 91% |
| Mistral Small 3.1 | Mistral | $9.06 | Save 90% |
| Gemini 2.0 Flash | $9.15 | Save 90% | |
| Llama 3.3 70B | Meta | $9.51 | Save 89% |
| DeepSeek-V3 | DeepSeek | $9.95 | Save 89% |
| Llama 4 Scout | Meta | $10.37 | Save 88% |
| Llama 4 Maverick | Meta | $12.27 | Save 86% |
| DeepSeek-V3.2 | DeepSeek | $13.24 | Save 85% |
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Estimates model a multi-turn agent where context grows each turn as prior messages accumulate. Actual costs depend on your tokenizer, context management strategy, tool output sizes, and provider pricing. Does not include infrastructure, vector DB, or rate-limit costs. All calculations run locally in your browser.