AITOT

Calculator

AI Agent Development Cost

Estimate total cost of building and running AI agents — development hours plus the often-forgotten 30% inference tax.

Pricing data refreshed:

The AITOT AI Agent Development Cost calculator estimates total cost of building and running production AI agents — development hours plus the monthly stack (orchestration, observability, sandbox, vector DB) plus per-agent inference. Default 30% "inference tax" buffer for retries and re-summarization.

A typical production agent runs $80–$150/month: $30 LangSmith observability share, $50 sandbox runtime, $90 inference at 50k tokens/run × 5 runs/day. Development cost: 200–600 hours × $80–$150/hour = $16k–$90k one-time. Year-1 total is usually $40k–$200k.

Toggle stack components on/off — LangGraph (free self-host) vs LangSmith ($39/seat), Helicone vs Langfuse, Vercel Sandbox vs E2B vs Modal. The calculator surfaces per-agent monthly cost and total fleet cost as you scale from 5 to 5,000 agents.

One-time dev cost

$6,800

Monthly recurring

$14,328

Per agent / month

$4,776

Year 1 total

$178,732

Monthly cost breakdown

Inference
88%$12,636
Orchestration
2%$240
Observability
3%$374
Sandbox / runtime
8%$1,078

Inference assumes 1500 tokens/step at your blended price. Adjust the blended cost from the Token Pricing Comparator if your model mix differs.

What this calculator does

Dev + run separated

One-time development cost vs recurring monthly — see when ROI kicks in.

Inference tax toggle

Default 30% buffer for retries, re-summarization, speculative tool calls.

Stack component picker

LangGraph/Mastra/Inkeep, LangSmith/Langfuse/Helicone, Vercel Sandbox/E2B/Modal.

Per-agent vs fleet cost

See cost per active agent + total fleet bill as you scale.

Model mix configurable

Cheap for simple tool calls, premium for reasoning steps — model the actual usage.

Sandbox cost included

Code execution sandbox or browser automation usage modeled, not omitted.

Quick comparison

Typical agent stack cost at 100 active agents, 50k tokens/run, 5 runs/day

ComponentProviderMonthly Cost
OrchestrationLangGraph self-host$0
ObservabilityLangSmith$39
SandboxVercel Sandbox$50
Vector DBPinecone Serverless$90
Inference (Sonnet 4.6)Anthropic$675
Inference tax (30%)$203
Total stack$1,057 / mo

Approx $10.57/active agent/month. Cheaper models cut inference 5×.

How to use this calculator

Calculate total cost of developing and running production AI agents.

  1. 1

    Enter dev hours + rate

    Total dev hours × hourly rate. Typical: 200–600 hours × $80–$150 = $16k–$90k.

  2. 2

    Set runtime stack

    Pick orchestration (LangGraph free), observability (LangSmith), sandbox (Vercel/E2B), vector DB.

  3. 3

    Configure model mix

    Cheap model (Haiku) for simple steps, premium (Sonnet) for reasoning. Most agents are 80:20.

  4. 4

    Set inference tax

    Default 30% covers retries + re-summarization. High-failure agents: bump to 50–70%.

Why use this calculator

  • Industry-tested 30% inference tax default
  • Real stack pricing (LangSmith, Vercel, Pinecone)
  • Sandbox + browser automation included
  • Per-agent + fleet cost both shown
  • Updated quarterly with new providers
  • No login required

Frequently Asked Questions

How much does it cost to build an AI agent in 2026?+
Development: typically 200–600 hours × $80–$150/hour = $16k–$90k one-time. Recurring: stack costs ($200–$2,000/month for orchestration, observability, sandbox) + inference. Total year-1 for a production agent is usually $40k–$200k depending on complexity.
What is "inference tax" and why does it add 30% to agent costs?+
Agents loop — they retry on failures, re-summarize context, call tools speculatively, and explore. Real inference is 1.2–2× the naive "tokens per task" math. We default to 30% buffer; high-failure-rate agents can hit 70%. Toggle the slider to model your specific workload.
Which orchestration framework is cheapest in 2026?+
LangGraph self-hosted is free. LangSmith hosted: $39/seat. Mastra Cloud: $49/month flat. Inkeep: $99/month base. CrewAI cloud: $99/month. For 1–3 dev teams, self-hosted LangGraph + LangSmith trial is the cheapest path. Above 5 devs, hosted starts paying off in DX.
Do I need a sandbox runtime for my agent?+
Only if the agent executes code (Vercel Sandbox, E2B, Modal) or browses (Browserbase, BrowserUse). Pure tool-calling agents (CRM updates, calendar) don't need one. Sandbox adds $50–$500/month depending on usage. The calculator lets you toggle each layer.
How many agents can I run for $10k/month?+
At $10k/month and a typical $80–$150 monthly cost per active agent (heavy daily user), that's 60–125 agents in production. Lighter agents (5 runs/day) bring it to 300+. Plug your specific steps-per-run + runs-per-day to see your number.
What does the typical agent stack cost per month?+
A representative production stack: LangSmith ($39), Helicone observability ($25), Vercel Sandbox ($50), Pinecone vector store ($90), and ~$200 inference per active agent. Total stack base ~$200/month plus per-agent inference. The calculator builds this up component-by-component.