Curtly
Financial Simulator

Interactive AI token savings & ROI calculator

Simulate monthly cost reductions, net payback ROI, and bill projections across 13 frontier LLMs.

Average ROI
2,000%+

Typical enterprise payback period under 24 hours.

Frontier Models Supported
13 Models

Claude Opus 5, GPT 6 Astra, DeepSeek R1, Kimi K3, and more.

Financial Visibility
Exact Dollars

Clear breakdown of input prompt vs output generation savings.

The production engineering challenge

Engineering teams often struggle to forecast AI infrastructure costs and justify middleware ROI to leadership without interactive, data-backed financial modeling.

Technical architecture & mechanics

1

Real-world frontier model pricing sync

Synchronized with official input and output rate cards across all major cloud providers.

2

Workload-specific savings modeling

Simulates exact savings percentages for RAG search (58%), agent tool loops (65%), and conversational chat (48%).

3

Custom model rate configuration

Allows entering custom input/output prices and throughput volume for proprietary or fine-tuned models.

Calculate Savings Programmatically

import { calculateCombinedSavings, FRONTIER_MODELS } from '@/lib/tokenizer'; const opusModel = FRONTIER_MODELS.find(m => m.id === 'opus-5'); // Calculate net dollar savings on 1 Billion tokens const savings = calculateCombinedSavings( opusModel, 600_000_000, // 600M input tokens saved (60%) 140_000_000 // 140M output tokens saved (35%) ); console.log('Monthly net dollar savings: $' + savings.totalSavings);

Architecture comparison

Evaluation metricCurtly.dev gatewayTraditional / naive approach
Modeling AccuracyDual-stage simulation covering asymmetric 5x output ratesBasic input-only multiplication
Workload CustomizationTailored for RAG, coding agents, and chat workloadsGeneric flat rate estimation
Custom Pricing SupportFull custom input and output rate simulatorLocked to static provider lists

Frequently asked questions

Calculations use verified provider rate cards and empirical token compression ratios benchmarked across real-world workloads.

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