AI Token Cost Calculator
Compare pricing across different AI models and estimate your API costs
Calculate Your AI Costs
Adjust the parameters below to estimate your AI API costs
Cost Comparison
GPT-4o
OpenAI
Claude 3.5 Sonnet
Anthropic
How to Use This Calculator
- •Input Tokens: The number of tokens in your prompt (roughly 1 token = 4 characters)
- •Output Tokens: The number of tokens in the AI's response
- •Requests per Day: How many API calls you make daily
- •All prices are based on official pricing as of January 2026 and are subject to change
Understanding AI Token Costs
AI language models like GPT-4, Claude, and Gemini charge based on the number of tokens processed. A token is roughly equivalent to 4 characters or 0.75 words in English. Understanding token costs is crucial for budgeting your AI application or workflow.
What Are Tokens?
Tokens are the basic units that AI models use to process text. Both your input (prompt) and the model's output (response) are measured in tokens. Different models have different pricing for input and output tokens.
Why Do Costs Vary Between Models?
Different AI models have varying capabilities, speeds, and operational costs. More advanced models like GPT-4 Turbo or Claude 3 Opus typically cost more but offer superior performance for complex tasks. Lighter models like GPT-3.5 Turbo or Claude 3 Haiku are more economical for simpler applications.
How to Optimize Your AI Costs
- Choose the right model: Use lighter models for simple tasks and reserve premium models for complex reasoning.
- Optimize prompts: Write concise, clear prompts to reduce input token usage.
- Limit output length: Set maximum token limits for responses to control costs.
- Cache responses: Store and reuse common responses instead of making repeated API calls.
- Batch processing: Group similar requests together to reduce overhead.
Current AI Model Pricing (2026)
Our calculator includes the latest pricing for major AI providers including OpenAI (GPT models), Anthropic (Claude models), and Google (Gemini models). Prices are updated regularly to reflect current market rates.
💡 Pro Tip: Start with a smaller, cheaper model for testing and development. Scale up to premium models only when you need advanced capabilities or higher quality outputs.
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