Reduce AI API Costs with Prompt Caching and Routing
A practical guide to lowering AI API spend with prompt caching, model selection, token budgets, and cost-aware routing.
A practical guide to lowering AI API spend with prompt caching, model selection, token budgets, and cost-aware routing.
Learn how to compare GPT, Claude, and Gemini API pricing by input tokens, output tokens, cache behavior, context, and real task cost.
Connect Codex, Claude Code, Gemini CLI, Cursor, and other coding agents with a dedicated Route Key API key and compatible base URL.
Move an existing OpenAI SDK integration to a compatible gateway with a staged base URL change, key isolation, testing, and rollback plan.
Understand multi-model API routing, fallback policies, cost-aware selection, and the operational checks needed for reliable AI applications.
A practical Claude Opus 5 vs GPT-5.6 Sol comparison covering model IDs, API pricing, latency, coding, reasoning, and how to test both models before choosing one.