How to Use the AI Cost Calculator

A step-by-step guide to estimating and comparing AI API costs. Learn how to make informed decisions about which models to use for your applications.

Enter Your Token Estimates

Start by entering your estimated input and output tokens. Input tokens are the text you send to the AI (your prompt, context, instructions). Output tokens are what the AI generates in response.

Tips

•1,000 tokens ≈ 750 words in English
•For code, estimate 50-100 lines per 1,000 tokens
•Start with conservative estimates and refine based on actual usage

Select Models to Compare

Choose which AI models you want to compare. We support models from OpenAI, Anthropic, Google, Meta, DeepSeek, Mistral, xAI, and Groq. Select multiple models to see side-by-side cost comparisons.

Tips

•Select models from the same tier for fair comparison
•Consider both cost and capability requirements
•Include at least one budget and one premium option

Review Cost Breakdown

The calculator shows input cost, output cost, and total cost for each model. The cheapest option is highlighted. Use this to quickly identify the most cost-effective model for your use case.

Tips

•Output tokens typically cost 2-5x more than input tokens
•The cheapest model isn't always the best—consider quality needs
•For high-volume use, small price differences add up significantly

Explore Detailed Comparisons

Click on model comparison links to see detailed head-to-head analysis. Each comparison page shows pricing, context windows, and cost scenarios for both models.

Tips

•Use comparison pages for documentation and team discussions
•Share comparison URLs with stakeholders for quick reference
•Compare models across different token scenarios

Common Use Cases

Use Case	Input	Output	Recommended Model
Chatbot Development	5,000	2,000	GPT-4o-mini or Claude 3.5 Haiku
Document Analysis	50,000	5,000	Gemini 1.5 Pro or Claude 3.5 Sonnet
Code Generation	2,000	1,000	GPT-4.1 or Claude 4 Sonnet
High-Volume Classification	500	100	Gemini 1.5 Flash or GPT-4.1-nano
Reasoning & Analysis	10,000	5,000	DeepSeek R1 or Claude 4 Opus

Pro Tip: Model Routing

For production applications, implement a routing layer that sends simple tasks to cheaper models and escalates complex queries to premium models. This can reduce costs by 50-80% while maintaining quality where it matters. Start with a simple rule-based router and refine based on usage patterns.

Try the Calculator Now Read FAQ