AI Agent Cost Simulator

Agents

Cost Breakdown

AgentModelTurnsInput TokensOutput TokensCost/Task
Assistantgpt-4o-mini516.0K2.0K$0.0036
Total per task$0.0036
Daily
$0.036
10 tasks
Monthly
$1.08
30 days
Yearly
$13.14
365 days

Architecture Comparison

What if a single agent (using your most expensive model) handled all 5 turns sequentially?

Multi-Agent (current)
$1.08
1 agents / month
Single Agent Alternative
$1.08
1 agent (5 turns) / month
Same cost either way

Context Explosion Effect

In agentic loops, each turn re-sends all prior context. A 10-turn conversation doesn't cost 10x a single turn -- it costs ~55x due to the triangular accumulation pattern.

AgentTurn 1 InputLast Turn InputGrowthNaive Est.ActualMultiplier
Assistant8005.6K7.0x4.0K16.0K4.0x

What This Tool Does

AI Agent Cost Simulator is built for deterministic developer and agent workflows.

Configure multi-agent architectures and visualize cost explosion curves. Compare multi-agent vs single-agent approaches with monthly projections.

Use How to Use for execution steps and FAQ for constraints, policies, and edge cases.

Last updated:

This tool is provided as-is for convenience. Output should be verified before use in any production or critical context.

Agent Invocation

Best Path For Builders

Browser workflow

Runs instantly in the browser with private local processing and copy/export-ready output.

Browser Workflow

This tool is optimized for instant in-browser execution with local data handling. Run it here and copy/export the output directly.

/ai-agent-cost-simulator/

For automation planning, fetch the canonical contract at /api/tool/ai-agent-cost-simulator.json.

How to Use AI Agent Cost Simulator

  1. 1

    Add agents to your architecture

    Click Add Agent for each agent in your system. Configure the model, average turns per task, tokens per turn (input and output), and tool calls per turn.

  2. 2

    Set daily task volume

    Enter how many tasks your agent system processes per day to see daily, monthly, and yearly cost projections.

  3. 3

    Observe context growth

    Review the context growth table showing how token counts increase with each conversation turn. This is where most unexpected costs originate — context grows with every turn.

  4. 4

    Compare architectures

    Use the architecture comparison to see the cost difference between your multi-agent setup and a single-agent alternative handling the same workload.

Frequently Asked Questions

What is AI Agent Cost Simulator?
AI Agent Cost Simulator models multi-agent architectures with context growth simulation. Configure agents with different models, turn counts, and token usage to visualize how costs scale — including the often-overlooked context accumulation effect.
What is context growth and why does it matter?
In multi-turn conversations, each turn adds to the context window. Turn N includes all previous turns as input, so costs grow quadratically, not linearly. This is why agent costs often exceed budgets by 3-10x.
Is AI Agent Cost Simulator free?
Yes. Completely free with no account or sign-up required.
Does it send my data to a server?
No. All simulation runs in your browser using static pricing data.
Can I compare multi-agent vs single-agent architectures?
Yes. The tool includes architecture comparison mode that models the same task as multi-agent or single-agent, showing cost differences and helping you decide which approach makes economic sense.