AI LLM API Token Burn Rate & Cost Estimator
Calculate monthly API token expenses for GPT-4o, Claude 3.5 Sonnet, and Gemini 1.5 Pro models based on prompt input tokens, completion output tokens, and RAG context windows.
Quick Material / Preset Selector (pSEO Sub-Pages)
Access certified material datasheets, CNC tolerances, and industrial 3D printing design guidelines.
Export itemized quote spreadsheets or generate printable PDF invoices directly from your calculation parameters.
SaaS Cash & Expense Inputs
Live Real-Time MathMonthly Operating Overhead (OPEX)
Net Cash Runway Remaining:
100% In-Browser Execution
All material prices, shop rates, and calculation inputs are computed locally in your browser state.
Export itemized quote spreadsheets or generate printable PDF invoices directly from your calculation parameters.
Comprehensive Guide: AI LLM API Token Burn Rate & Cost Estimator
Building GenAI applications requires modeling token volume economics. Output completion tokens generally cost 3x to 4x more per million tokens than input prompt tokens.
Mathematical Formula Breakdown
Monthly Token Cost = [(Total Input Tokens / 1M) × Input $/1M + (Total Output Tokens / 1M) × Output $/1M] × 30 Days.
Industry Pricing Benchmarks
GPT-4o costs ~$2.50/1M input & $10.00/1M output. Claude 3.5 Sonnet costs ~$3.00/1M input & $15.00/1M output.
Optimization Strategies
- Implement Prompt Caching to save up to 50% on repetitive RAG context window input tokens.
- Route simple intent queries to smaller distilled models (e.g. GPT-4o-mini or Gemini Flash).
Frequently Asked Questions
What is the average ratio between input and output tokens?
Typical RAG search queries have a 4:1 input-to-output token ratio (large context retrieved, short answer generated).