<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Llm Cost Optimization on Connodes</title><link>https://connodes.com/tags/llm-cost-optimization/</link><description>Recent content in Llm Cost Optimization on Connodes</description><generator>Hugo -- gohugo.io</generator><language>en</language><managingEditor>choiyh919@gmail.com (Connodes)</managingEditor><webMaster>choiyh919@gmail.com (Connodes)</webMaster><copyright>© 2026 Connodes</copyright><lastBuildDate>Fri, 22 May 2026 09:44:45 +0900</lastBuildDate><atom:link href="https://connodes.com/tags/llm-cost-optimization/index.xml" rel="self" type="application/rss+xml"/><item><title>Gemini 3.5 Flash vs. 3.1 Pro vs. 3.1 Flash-Lite: Deciding the Best AI Model for Your Workflows and Infrastructure Costs</title><link>https://connodes.com/posts/tech/gemini-3-5-flash-vs-3-1-pro-vs-flash-lite/</link><pubDate>Fri, 22 May 2026 09:44:45 +0900</pubDate><author>choiyh919@gmail.com (Connodes)</author><guid>https://connodes.com/posts/tech/gemini-3-5-flash-vs-3-1-pro-vs-flash-lite/</guid><description>&lt;figure&gt;&lt;img
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&lt;p&gt;Google&amp;rsquo;s launch of &lt;strong&gt;Gemini 3.5 Flash&lt;/strong&gt; has ignited excitement among developers and workflow architects. However, upgrading to a newly released model can bring unexpected operational friction.&lt;/p&gt;</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://connodes.com/posts/tech/gemini-3-5-flash-vs-3-1-pro-vs-flash-lite/feature.webp"/></item></channel></rss>