VLSI Korea

02 UNIT ECONOMICS / 36-MONTH DCF

Project Economics

Test durable cash flow, not just a promising idea. Put MAU, tokens, conversion, sponsorship, and cost into one explicit model.

OUTPUT
Token cost · BEP · NPV
HORIZON
36 months
PRICES
OpenAI · 2026-07-17
ASSUMPTIONSBase operating case

01 / Audience & usage

02 / Inference

INPUT $0.2/1MCACHE READ $0.02/1MCACHE WRITE $0.20/1MOUTPUT $1.25/1M

Official source: GPT-5.4 nano pricing · checked 2026-07-17

03 / Revenue

04 / Cost & finance

LIVE MODEL / 36 MONTHSNPV > 0
PORTABLE EXPERIMENT · V1.vlsilab.jsonLOCAL FILE · NO UPLOAD
Recent

Carries model choice and bounded planning assumptions only; computed results are regenerated in this browser.

36-MONTH NET PRESENT VALUE₩29.1M

Initial build ₩10M · annual hurdle 25% · zero terminal value

AI COST / MONTH₩17,28710,500 calls
COST / REQUEST$0.001176tokens + expected search
BREAK-EVEN MAU1,733minimum at current monetization
GROSS MARGIN95.4%before fixed cost
01 / CURRENT MONTH

From revenue to cash flow

Paid subscription₩960,300
Ads / affiliate₩600,000
Sponsor + B2B₩1,000,000
AI + other variable₩117,287
Fixed operating cost₩1,500,000
Monthly cash flow₩943,013
02 / SENSITIVITY

Does the case survive at half strength?

DOWNSIDE-₩17.2M50% MAU and sponsor; 0% growth
BASE₩29.1MCurrent inputs
UPSIDE₩70.3M150% MAU; growth +1 pp

If NPV is positive only in the base case, secure a paid partner or sponsor—or lower fixed cost—before launch. This planning screen is not a forecast or investment advice.

03 / COST LOGIC

What creates token cost?

C/request = uncached input + cache read + cache write + output + expected tool calls
AI/month = MAU × adoption × sessions × calls × C/request
NPV = −initial cost + Σ monthly cash flow / (1 + monthly hurdle rate)^m

Official price snapshot checked July 17, 2026. Batch/Flex discounts only the token portion by 50%; expected web-search calls remain undiscounted. GPT-5.6 Luna cache writes cost 1.25× uncached input, and prompts above 272K input tokens price the full request at 2× input and 1.5× output. Verify current values on the official model pricing page ↗ before relying on the model.