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AI Data Inspector Blog
Guides, tutorials, and tips for getting the most out of AI tools — prompt engineering, token counting, model comparison, and more.
OpenAI API Pricing Explained: What GPT-5 Actually Costs
Current GPT-5.5, GPT-5.4, and Nano pricing with worked cost examples, caching and batch discounts, and how to cut your bill.
Read more →GPT-5 Token Limit & Context Window Explained
Context windows and max output limits for GPT-5.5, GPT-5.4, and GPT-5.4-Nano — and what happens when you hit them.
Read more →What Is an AI Token? Simple Guide to Tokens, Limits & Cost
What a token is, how tokenization works, word-to-token conversions, and why tokens drive AI pricing and limits.
Read more →How to Count Tokens in GPT, Claude & Gemini
Complete guide to understanding token counting, API costs, and optimizing your prompts for each model.
Read more →Prompt Optimization Guide: Get Better AI Results
Learn how to write prompts that produce better outputs, reduce token usage, and cut API costs.
Read more →GPT vs Claude vs Gemini: 2026 Comparison
Side-by-side comparison of pricing, capabilities, context windows, and performance.
Read more →JSON Validation Best Practices
Why validating JSON matters, common errors, and how to use JSON Schema effectively.
Read more →How to Calculate AI API Costs
Break down GPT-4o, Claude, and Gemini pricing to estimate your monthly spend.
Read more →