<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>模型选型 on Hex4C59's Blog</title><link>http://hex4c59.cc/tags/%E6%A8%A1%E5%9E%8B%E9%80%89%E5%9E%8B/</link><description>Recent content in 模型选型 on Hex4C59's Blog</description><generator>Hugo -- 0.150.0</generator><language>zh-cn</language><lastBuildDate>Sun, 22 Mar 2026 21:10:00 +0800</lastBuildDate><atom:link href="http://hex4c59.cc/tags/%E6%A8%A1%E5%9E%8B%E9%80%89%E5%9E%8B/index.xml" rel="self" type="application/rss+xml"/><item><title>主流大语言模型全景指南：比较与实战选型（2026 更新）</title><link>http://hex4c59.cc/posts/practical_guide_to_major_llm/</link><pubDate>Sun, 28 Sep 2025 12:21:41 +0800</pubDate><guid>http://hex4c59.cc/posts/practical_guide_to_major_llm/</guid><description>结合 2026 年最新官方信息，梳理 OpenAI、Anthropic、Google、xAI、DeepSeek、Qwen、豆包、Kimi、GLM 等主流大模型的定位与选型建议。</description></item></channel></rss>