MonceApp v0.1.0

Cost Model — 14 Models, 3 Constructors

Per-Chat Cost

ModelEngineLLM callsExternal APIsCost/msg
charles-auma (arithmetic)regex → npdollars circuit0npdollars$0
charles-auma (general)1-2 Haiku + AUMA + npdollars + snakebatch1-2auma + npdollars + snakebatch~$0.003
moncey (high conf)snake/comprendre → Haiku1snake.aws~$0.002
moncey (low conf)snake + moncesuite (10 classifiers) → Haiku1snake.aws + moncesuite.aws~$0.003
charles3x Haiku + Sonnet4charles.aws, sudoku.aws~$0.01
concisecharles + Haiku5same as charles~$0.01
charles-science2x Haiku + Snake + service + Sonnet3auma/npdollars/sudoku/chess/snake~$0.01
charles-jsonSonnet1charles.aws (5s cap)~$0.01
charles-architectSonnet1charles.aws~$0.01
cccharles + concise + Haiku10charles.aws x2~$0.02
Haiku 4.5Bedrock Converse1~$0.003
Sonnet 4.6Bedrock Converse1~$0.03
Nova ProBedrock Converse1~$0.008
Nova LiteBedrock Converse1~$0.001
Nova MicroBedrock Converse1~$0.0005

Zero-Cost Components

ComponentCostWhat
Binary multiplier circuit$0regex → CNF → Kissat. 65535×65535 in 58ms, 0 tokens
Binary divider circuit$0Q×B+R=A as SAT. 1000000÷333 in 48ms, 0 tokens
NP Calculator$0Python Decimal, AST-safe eval
Snake SAT Router$0Local model, 0ms, routes charles-science
AUMA API$0CPU-only Fourier optimization
SnakeBatch /stream/train$0Train classifier from Haiku CSV, no auth

$1 Budget

ModelMessages for $1Use case
charles-auma (arithmetic)Multiply, divide — pure CPU, $0
charles-auma (general)~330Roots, optimization, equations
Haiku 4.5~330Fast general chat
charles / charles-science~100Deep analysis with compute
Nova Micro~2000Bulk simple queries
Sonnet 4.6~33Premium quality

Infrastructure

ResourceSpecMonthly
MonceApp EC2t3.small, 8 workers, 100 concurrent~$15
S3 (models + usage logs)monceapp-models bucket~$1
Route53DNS~$0.50
Total infra~$17/month

At 100 users × 10 msgs/day = 1000 msgs/day. Bedrock cost ~$3-10/day depending on model mix. Total: ~$0.60/month infra + ~$100-300/month Bedrock for 1000 daily active conversations.