Stop Wasting Tokens: How to Cut Your LLM Costs by 97%

<p>GPT-5.4 shipped on March 5. Seven weeks later, on April 23, 2026, OpenAI released GPT-5.5 — and the pace alone tells you something about where this race is headed. This isn't

<p>If you work with APIs every day, you've probably had this experience.</p> <p>You copy a JSON response from your browser's DevTools...</p> <p>...and you're greeted by a single

<p>A token allowance is usually treated as a spending budget, which is the wrong mental model for free tiers. The right model is a cache to be managed, because agent workloads

<p>Hey Dev Community! I originally published a version of this breakdown over on my Medium, but I wanted to share the full technical breakdown directly with the engineers here. If

<h2> The invisible bill </h2> <p>I was debugging why my Claude Code sessions felt sluggish after connecting a few MCP servers. Token usage was through the roof -- but I hadn't

<p>I've been building AI-powered tools for the past year, and one thing kept bugging me: I was wasting money on tokens.</p> <p>Not because my prompts were bad — but because they

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1wxfdt9/qwen38_27b_1_x_r9700_262k_context_half_a_million/"> <img alt="Qwen3.8 27B | 1 x R9700: 262K context,

<p>If you're running AI workflows in n8n that touch real customer data — emails, phone numbers, account IDs, health records — that data is almost certainly reaching external LLM