Titan
TitanAI Cost Simulator
What it costs to run TitanAI per user — and what you'd make at a given price
How much does a user use?
Usage per user / month ?A user's monthly AI usage, measured in TitanAI tokens — the unit we're billed on. The prompt figure below translates it into everyday terms.
13.5M
TitanAI tokens / month — about 50 prompts
Number of users ?How many paying users you're serving. More users spread the fixed costs thinner.
If you charge a markup of 100%
A 100% markup means you charge 2× what it costs — a 50% profit margin.
You charge / user / mo
$22.50
You keep / user / mo
$11.25
50% margin
Revenue / month $11,250
Profit / month $5,624
Profit / year $67,491
What it costs us
$11.25
per user / month
All users / month
$5,626
All users / year
$67,506
Where it comes from · per user / month
AI usage$10.94
13.5M TitanAI tokens × $0.81 / 1M · ≈ $0.22/prompt
≈ 50 prompts/mo · ~270K tokens each — system prompt + tools across ~9.65 API calls
Infrastructure$0.32
Servers (1 × $60)$60/mo
Database$18/mo
Web hosting$48/mo
Observability$32/mo
$158/mo ÷ 500 users
Cost per user / month$11.25
× 500 users$5,626 / mo
verified confirmed in code measured from May 2026 usage data, not independently re-checked assumption an estimate — adjust freely
What's a TitanAI token? One token the agent processes end-to-end — your message plus the ~13K-token system prompt, tool calls, and multi-agent fan-out, spread across ~9.65 OpenAI calls per prompt. So it's billed via OpenAI, but it's far more than the text a user types.

Where the rate comes from: across the May 2026 test run, $176.91 of OpenAI spend covered 217.4M TitanAI tokens → $0.81 per 1M tokens with no caching. Models: gpt-5.5 + gpt-5.4-mini (the shipped setup). The per-token model prices & cost formula are verified in code; the $0.81 blends them into one rate. Note: being blended, it also assumes the eval's input/output ratio — output tokens cost ~6× input, so a much more output-heavy mix (longer responses) would run higher. Nudge the rate up to model that.
AI Token Cost
$
Avg tokens/prompt only converts tokens ↔ the prompt figure — it doesn't change the rate. It's the eval average (heavy mix, 77% fan-out); real prod prompts are likely lighter, so this errs toward over-estimating cost.
Caching
%
%
Discounts repeated tokens up to ~90%. No production data yet — default is the measured no-cache rate.
Infrastructure / mo
$
$
$
$
p/mo
1 server today (≈$158/mo all-in). Extra servers add above capacity — but that auto-scaling isn't built yet, and infra is <1% of cost at scale.
Other Costs
$/user
Not in the technical bill. Add it to model the full cost-to-serve, not just API + infra.
Heavy-User Risk
A 250-prompt power user (≈67.5M tokens) costs ~$55/mo vs the ~$11 average. A flat price across uneven usage eats into margin.
Live Readout
Effective rate$0.81 / 1M
Extra-usage price$1.62 / 1M
Servers needed1
Total tokens / mo6.8B
Cost / prompt$0.22