LLM Economics

AI Agent Infrastructure Cost Calculator

Model the full monthly cost of running an AI agent product: LLM inference, tool calls, vector queries and memory storage — by DAU, with model-tier routing savings.

Inputs

Estimated yearly infra cost
$197,569.20/yr
Adopt model routing to Economy (Flash/Mini class)
Routing low-stakes turns to the Economy (Flash/Mini class) tier would cut infra from $197,569.20/yr to $50,689.20/yr.
$146,880.00
saved / year (74.3%)
Monthly infra cost
$16,464.10/mo
Cost per DAU
$3.2928/mo
Monthly requests
1,200,000
Model tier
Standard (Sonnet/Pro class)

Cost breakdown

ItemMonthlyYearly
LLM inference$14,400.00$172,800.00
Tool calls$1,920.00$23,040.00
Vector queries$144.00$1,728.00
Memory storage$0.10$1.20
Total$16,464.10$197,569.20

Comparison

OptionMonthlyYearly
Premium (GPT-5 class)$38,064.10$456,769.20
Standard (Sonnet/Pro class)current$16,464.10$197,569.20
Economy (Flash/Mini class)cheapest$4,224.10$50,689.20

Data updated 2026-06-30 · Placeholder unit costs — verify against your actual cloud bills. LLM: openai.com/api/pricing · Vector DB: www.pinecone.io/pricing/ · Storage: cloud.google.com/storage/pricing

Industry Benchmark

Infra cost per DAU vs. industry · Estimated industry average ($0.10–$0.80/DAU/month). Actual costs vary widely — verify against your own cloud bills.Industry avg: 0.45 $/DAU/mo
You are at the 0th percentile

Data updated 2026-06-30 · Placeholder unit costs — verify against your actual cloud bills. LLM: openai.com/api/pricing · Vector DB: www.pinecone.io/pricing/ · Storage: cloud.google.com/storage/pricing

Trends & comparison

Trend

Comparison (monthly vs. yearly)

How to use this calculator

Enter your DAU, per-user request rate, tokens per request, and the average tool calls, vector queries and memory tokens. Pick a model tier; the result breaks cost into inference, tools, vector and storage.

Why per-DAU cost matters

Cost per daily active user is the unit economics metric investors and finance teams track. The benchmark bar shows where you sit versus a typical agent product.

Sources

Inference, vector, and storage unit costs are sourced from official provider pricing pages (OpenAI, Pinecone, Upstash) and validated at build time, versioned in the platform configuration.

Frequently asked questions

What does this calculator include?

LLM inference, tool-call execution, vector/RAG queries and memory storage — the four dominant cost drivers of an agentic product — rolled up monthly and yearly by DAU.

How can I reduce agent infra cost?

Model routing (sending easy turns to a cheaper tier) usually gives the biggest win; the calculator quantifies the saving versus your current tier.

Where do the unit costs come from?

Placeholder cloud + provider unit costs in a versioned JSON config. Replace them with your own bill rates; the footer shows the version and update date.

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AI Agent Infrastructure Cost Calculator — LLM, Tools, Vector, Memory | LLM Economics