SAAS RUNWAY SECTOR 100% In-Browser Privacy
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.
Material & Specification Presets
SaaS Cash & Expense Inputs
Live Real-Time Math$
$
+8%
80%
Monthly Operating Overhead (OPEX)
Runway & Burn ProjectionsLive Calculation
Net Cash Runway Remaining:
13.5Months
Zero Cash Date: Oct 2027
Gross Monthly Burn:$17,000
Net Monthly Burn Rate:-$7,400 /mo
Projected MRR in 6 Months (+8% MoM):$19,042
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).