CHEAPER TOKENS DON'T MEAN LOWER TOTAL LOAD.

Stress-test a constant-elasticity scenario across demand, spend, throughput, parallel generation streams, and energy. Every number is an assumption-driven output, not a forecast.

Rebound assumptions

BASE TOKENS / MONTHtokens

PRICE / MILLIONUSD

BASE SPEEDtok/s

PRICE REDUCTIONfactor

SPEEDUPfactor

PRICE ELASTICITYabsolute

SPEED ELASTICITYabsolute

ENERGY / MILLIONkWh

HARDWARE EFFICIENCYfactor

Load the synthetic 10× scenario or enter explicit assumptions.

Scenario math only. No live model price, ranking, intelligence, margin, chip, utilization, power, market share, or future demand is measured.

DEMAND MULTIPLIER

39.8107×

Demand expands faster than the 10× unit-price decline, so total modeled spend rebounds to 3.9811× baseline.

Constant elasticities are a simplifying scenario assumption. Real demand can saturate, shift workloads, change quality, or face capacity constraints.

COMPUTED INFRASTRUCTURE ENVELOPE

100B baseline tokens · Decimal.js 10.4.3

3.981 T/monthNEW TOKEN VOLUME

$3.981M/monthNEW SPEND

3.9811× baselineSPEND REBOUND

995.3 MWh/monthMODELED POWER

BASE SPEND

$1.000M/month

NEW SPEND

$3.981M/month

1,535,907 tok/sAGGREGATE THROUGHPUT

3,072 streamsAT 500 TOK/S

$1.00 / millionNEW UNIT PRICE

Demand = 10^1.2 × 10^0.4 = 39.8107× · Spend rebound = 39.8107 / 10 = 3.9811×

WHY TOTAL SPEND RISES

The modeled demand multiplier of 39.8107× exceeds the 10× price reduction. That crosses the rebound threshold: unit price falls, yet total spend and infrastructure load rise under the chosen elasticities.

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