AI API guides: cost, tokens & practical how-tos
The fastest way to lose money on an AI API isn't the per-token price — it's sending more tokens than you need, on a pricier model than the job requires, without caching anything. These guides are the practical, numbers-backed playbook for spending less per request.
Each one ties to a working tool or live pricing data, so you can put real numbers on the advice: estimate spend with the cost calculator, compare models in the model directory, and see current per-token and cached rates on the pricing comparisons.
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How to Reduce AI API Costs: 7 Levers That Actually Move the Bill
Cut your AI API bill: right-size the model, prompt caching, the Batch API, fewer tokens, and sane max_tokens — with calculators and live pricing data.
Updated June 18, 2026 -
Prompt Caching Savings: How Much It Cuts Your AI API Bill
How prompt caching cuts AI API costs: live cache-read vs standard pricing per model, how it works on OpenAI/Anthropic/Gemini/DeepSeek, and when it pays off.
Updated June 18, 2026