<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Mistral on René Zander | AI Automation Consultant</title><link>https://renezander.com/tags/mistral/</link><description>Recent content in Mistral on René Zander | AI Automation Consultant</description><generator>Hugo</generator><language>en</language><lastBuildDate>Wed, 15 Apr 2026 08:00:00 +0200</lastBuildDate><atom:link href="https://renezander.com/tags/mistral/index.xml" rel="self" type="application/rss+xml"/><item><title>LLM API Comparison 2026: Best API for Production</title><link>https://renezander.com/guides/llm-api-comparison/</link><pubDate>Wed, 15 Apr 2026 08:00:00 +0200</pubDate><guid>https://renezander.com/guides/llm-api-comparison/</guid><description>&lt;p&gt;I have five LLM providers wired into production code. Not in side projects. Real things I get paid to maintain. After two years of swapping between them, retrying failed calls at 3am, and debugging tool-use schemas, I have opinions.&lt;/p&gt;
&lt;p&gt;This is an LLM API comparison focused on what actually matters when you ship. Not benchmark leaderboards. Not marketing spec sheets. Features, SDK quality, failure modes, tool-use reliability, and whether the docs will waste your afternoon.&lt;/p&gt;</description></item></channel></rss>