AI Cost Calculator

Calculate and compare API costs for GPT-4, Claude, Gemini and other AI models

Complete Guide to AI API Cost Calculation

Understanding AI API Pricing

AI model providers charge based on the number of tokens processed. Understanding and calculating these costs is essential for budgeting AI projects and choosing the right model for your use case.

Key Pricing Concepts:

Input tokens: Your prompt, system message, and context
Output tokens: The model's generated response
Pricing per 1M tokens: Standard unit for AI pricing
Output is more expensive: Usually 2-5x input pricing

Calculator Modes

1

Simple Mode

Calculate costs for a single model with specified input/output tokens and request count. Perfect for quick estimates.

2

Batch Mode

Calculate costs for multiple models and usage patterns. Ideal for projects with different AI pipelines or mixed model usage.

3

Comparison Mode

Compare costs across multiple models for the same workload. Find the most cost-effective model for your needs.

Cost Optimization Strategies

Model Selection

  • • Use smaller models for simple tasks
  • • GPT-4o Mini is ~15x cheaper than GPT-4o
  • • Claude 3 Haiku is 60x cheaper than Opus
  • • Test quality vs cost trade-offs

Prompt Engineering

  • • Keep prompts concise
  • • Limit max_tokens for responses
  • • Cache common prompts/responses
  • • Use structured outputs

Monthly Budget Planning

📊 Example Budget Calculation

Scenario: Customer support chatbot with 10,000 conversations/month

Average input tokens per conversation:500
Average output tokens per conversation:300
Monthly input tokens:5,000,000 (5M)
Monthly output tokens:3,000,000 (3M)
GPT-4o Mini cost (monthly):~$2.50

Price Comparison by Tier

TierModelsPrice Range
BudgetGPT-4o Mini, Claude Haiku, Gemini Flash$0.10-$0.60/M
StandardGPT-4o, Claude Sonnet, Gemini Pro$2-$15/M
PremiumClaude Opus, GPT-4-32k$15-$75/M

Common Use Cases

Startups & Developers

  • • Estimate costs before production
  • • Compare providers for budgeting
  • • Find cost-performance sweet spot
  • • Plan scaling costs

Enterprise Teams

  • • Budget allocation across projects
  • • Cost center tracking
  • • Vendor comparison for procurement
  • • ROI calculations