5 Precision Tactics to Kill API Token Waste

Most API bills are bloated with avoidable waste. Stuffing context windows, defaulting to flagship models for every task, skipping caches — these habits silently multiply your costs. This post breaks down 5 concrete tactics: pruning context structurally, routing tasks to the right model tier, enabling semantic caching, compressing system prompts, and batching requests. Each tactic comes with real operational logic, not vague advice. Done right, you can cut token spend by half without touching output quality. XycAi connects you to 200+ models — DeepSeek, Claude, GPT-5.4, Gemini 3 and more — through a single API, making cost comparison and model switching effortless.