The AI Tokens
Pricing

AI Pricing Models Explained

Understand how different AI providers structure their pricing and what factors affect your costs.

📅 2/22/2026⏱️ 8 min read
pricingcostscomparison

AI Pricing Models Explained

AI pricing can seem complex, but understanding the basic models helps you make informed decisions about which services to use and how to optimize costs.

Common Pricing Structures

Most AI providers use token-based pricing with these components:

  • Input pricing: Cost per million input tokens
  • Output pricing: Usually 2-5x higher than input pricing
  • Cached input pricing: Discounted rates for repeated content
  • Context window tiers: Different rates for longer contexts

Pricing Comparison Table

ProviderInput (per 1M)Output (per 1M)Context Window
GPT-4o$2.50$10.00128K
Claude Sonnet 4.6$3.00$15.00200K
Gemini 2.5 Pro$1.25$10.002M
ℹ️

Prices change frequently. Always check official documentation for the most current rates.

Related Articles

How to Choose the Right AI Model

A comprehensive guide to selecting the best AI model for your specific use case, budget, and performance requirements.

Models10 min

Advanced AI Cost Optimization Strategies

Enterprise-level strategies for managing and reducing AI API costs at scale.

Advanced12 min

AI Model Pricing Comparison 2026: Complete Cost Analysis

Updated pricing comparison of all major AI models including GPT-4o, Claude, Gemini, and emerging models. Find the best value for your budget.

Pricing12 min