<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Pricing on René Zander | AI Automation Consultant</title><link>https://renezander.com/tags/pricing/</link><description>Recent content in Pricing on René Zander | AI Automation Consultant</description><generator>Hugo</generator><language>en</language><lastBuildDate>Tue, 14 Apr 2026 08:00:00 +0200</lastBuildDate><atom:link href="https://renezander.com/tags/pricing/index.xml" rel="self" type="application/rss+xml"/><item><title>Zapier vs Make vs n8n Pricing at Scale (2026)</title><link>https://renezander.com/guides/automation-platform-pricing-explained/</link><pubDate>Tue, 14 Apr 2026 08:00:00 +0200</pubDate><guid>https://renezander.com/guides/automation-platform-pricing-explained/</guid><description>&lt;p>Every automation platform counts usage differently, and that is not an accident. Zapier charges per task, Make.com charges per operation, n8n charges per execution. Those three words look interchangeable on a pricing page. They are not. The same workflow can cost $208 on Zapier, $20 on Make, or the price of a VPS on self-hosted n8n.&lt;/p>
&lt;p>This guide is a practitioner walkthrough of how each platform counts, where the hidden costs hide, and which platform actually wins at each volume band. I run production workflows on Make and n8n for my own products (Teedian, a content operations engine), so the examples below reflect real wiring, not marketing math.&lt;/p></description></item><item><title>LLM API Cost Comparison 2026: Framework, Not a Stale Table</title><link>https://renezander.com/guides/llm-api-cost-comparison/</link><pubDate>Sat, 11 Apr 2026 13:00:00 +0200</pubDate><guid>https://renezander.com/guides/llm-api-cost-comparison/</guid><description>&lt;p>Every llm api cost comparison I see online has the same problem: it goes stale in two weeks. Providers drop a new tier, another one halves their output price, a reasoning model ships at triple the cost. By the time the post ranks on Google, the numbers are wrong and the rankings are meaningless.&lt;/p>
&lt;p>So this piece is not a table you check once. It is the framework I use to model llm api pricing for my own production workloads, plus a snapshot of list prices as of April 2026, plus four realistic scenarios run through that framework. The scenarios are the point. Plug your own traffic into them, change the model, get a defensible monthly cost number.&lt;/p></description></item><item><title>Claude API Pricing Tiers and Cost Optimization Playbook (2026)</title><link>https://renezander.com/guides/claude-api-pricing-optimization/</link><pubDate>Thu, 09 Apr 2026 09:00:00 +0200</pubDate><guid>https://renezander.com/guides/claude-api-pricing-optimization/</guid><description>&lt;p>If your Claude API bill jumped this quarter, the fix is almost never &amp;ldquo;switch providers.&amp;rdquo; It is usually four or five tactical changes stacked on the same stack you already run.&lt;/p>
&lt;p>This is the playbook I apply when I audit a Claude-powered system. It covers the &lt;strong>claude api pricing tiers&lt;/strong>, the rate limits behind them, and ten cost optimizations ordered by actual ROI. The first two levers typically cut 60 to 80 percent off a naive implementation. The rest add up to another 10 to 20 percent.&lt;/p></description></item></channel></rss>