How to Reduce OpenAI API Costs by 40% in 2026
Stop overpaying for OpenAI APIs. This guide covers proven techniques to cut costs by 40% or more without sacrificing quality.
The Complete Guide to LLM Cost Optimization (2026)
Everything you need to know about optimizing LLM costs across all providers. From model selection to advanced caching strategies.
Prompt Caching: Save 50-90% on LLM API Costs [2026 Guide]
Learn how prompt caching can cut your LLM API costs by up to 90%. Covers OpenAI automatic caching, Anthropic cache_control, and Google Gemini with real code examples.
LLM Model Routing: Cut Costs 85% with Smart Model Selection
Learn how intelligent model routing can cut your LLM costs by up to 85%. Covers RouteLLM, task classification, and implementation with code examples.
LLM Batch Processing: Save 50% on OpenAI, Claude & Gemini APIs
Learn how batch processing can cut your LLM costs in half. Covers OpenAI, Anthropic Claude, and Google Gemini batch APIs with implementation code and best practices.
Token Optimization: Reduce LLM Input & Output Costs by 60%
Learn how to reduce token usage across input and output. Covers prompt compression with LLMLingua, output control, batching, and token counting with tiktoken.
LLM Cost Optimization: Complete Guide to Reduce AI Costs by 90%
The definitive guide to reducing LLM costs. Covers all optimization techniques: caching (50-90%), routing (85%), batching (50%), token optimization (60%). Real case studies and implementation code.