For AI developers & agencies

Know what your AI agents
will actually cost

Describe your agents, models, tools, and expected usage. See what they'll cost to run — before you quote the client or commit to an architecture.

Estimate My Agent Costs →

Built from real experiments: 4.8× measured multi-agent overhead · up to 49% savings found · 14 validated insights

Example agent cost estimate

Illustrative

Normal usage

$1,284 / month

Light

$420/mo

Normal

$1,284/mo

Heavy

$3,910/mo

Biggest cost driver

Multi-agent context

58% of projected spend

Potential savings

$472 / month

Optimize my architecture →

Illustrative preview. Your estimate is based on your architecture and usage assumptions.

Built from real experiments, not guesses

Every formula comes from hands-on experiments building agent systems from raw API calls. Real token counts, real dollar amounts.

8

architecture patterns

14

validated insights

Up to

49%

savings found in experiments

4.8×

measured multi-agent overhead

See how we measured these →

Experimental measurements inform the cost models; actual production costs will vary with real usage.

How it works

1

Describe

Tell us about your agents, models, tools, and expected usage.

2

Estimate

Get Light, Normal, and Heavy cost scenarios.

3

Optimize

Find your biggest cost drivers and potential savings.

Before you quote. Before you ship. Know your operating cost.

Estimate My Agent Costs →

Blog

Guides on agent costs, optimization tips, and architecture deep-dives

Model Costs

Compare input/output costs across Claude, GPT-4o, DeepSeek, and more

Architecture Patterns

8 patterns ranked by cost — from single call to multi-agent orchestration

Frequently asked questions

How much does it cost to run an AI agent?

Costs range from $50/month for a simple single-agent chatbot to $13,000+/month for multi-agent orchestration systems. The main cost drivers are token consumption, model choice, tool call overhead, and conversation volume. Our calculator gives you exact estimates based on your specific architecture.

What makes this different from other LLM cost calculators?

Most calculators only do token math. AgentQuote models real-world agent behaviors: tool call overhead (2 API calls per tool use), multi-agent context duplication (4.8x measured overhead), memory strategy costs, and failure retry loops. Every formula comes from hands-on experiments, not theory.

Which AI models and patterns are supported?

We support all major models (Claude, GPT-4, GPT-4o, Llama, Mistral) and 8 architecture patterns: single agent, multi-agent orchestration, pipeline, parallel, RAG, evaluator-optimizer, agentic loop, and human-in-the-loop. We also account for prompt caching, entity memory, and intelligent routing.

How accurate are the cost estimates?

Our estimates are based on 14 validated formulas from real experiments measuring token economics, tool call overhead, pattern cost spectrums, multi-agent overhead (4.8x), and memory strategies. We provide low/mid/high scenarios so you can plan for different usage levels.

Is AgentQuote free to use?

Yes, completely free. No signup required. Just describe your system and get your cost breakdown in about 60 seconds. You also get optimization suggestions that can save up to 49% on your agent costs.