<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Gemini 3.0 on XiDao 技术博客</title><link>https://blog.xidao.online/tags/gemini-3.0/</link><description>Recent content in Gemini 3.0 on XiDao 技术博客</description><generator>Hugo -- gohugo.io</generator><language>zh-cn</language><copyright>© 2026 XiDao</copyright><lastBuildDate>Fri, 01 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://blog.xidao.online/tags/gemini-3.0/index.xml" rel="self" type="application/rss+xml"/><item><title>GPT-5.5 vs Claude 4.7 vs Gemini 3.0: How Developers Choose the Best Model in 2026</title><link>https://blog.xidao.online/en/posts/2026-llm-comparison-guide/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://blog.xidao.online/en/posts/2026-llm-comparison-guide/</guid><description>&lt;h1 class="relative group"&gt;GPT-5.5 vs Claude 4.7 vs Gemini 3.0: How Developers Choose the Best Model in 2026
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&lt;p&gt;In 2026, the large language model (LLM) landscape has undergone a seismic shift. OpenAI&amp;rsquo;s GPT-5.5, Anthropic&amp;rsquo;s Claude 4.7, and Google&amp;rsquo;s Gemini 3.0 form a dominant triad, each making significant breakthroughs in performance, pricing, and capabilities. For developers, choosing the right model is no longer just about parameter counts — it requires a multi-dimensional evaluation of reasoning ability, code generation quality, context windows, API stability, and cost-effectiveness.&lt;/p&gt;</description></item><item><title>GPT-5.5 vs Claude 4.7 vs Gemini 3.0：开发者如何选择最佳模型</title><link>https://blog.xidao.online/posts/2026-llm-comparison-guide/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://blog.xidao.online/posts/2026-llm-comparison-guide/</guid><description>&lt;h1 class="relative group"&gt;GPT-5.5 vs Claude 4.7 vs Gemini 3.0：开发者如何选择最佳模型
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&lt;p&gt;2026年，大语言模型（LLM）的竞争格局已经发生了翻天覆地的变化。OpenAI的GPT-5.5、Anthropic的Claude 4.7和Google的Gemini 3.0三强鼎立，每一款模型都在性能、定价和功能上有着显著的突破。对于开发者而言，选择合适的模型不再仅仅是看参数大小，而是需要综合考量推理能力、代码生成质量、上下文窗口、API稳定性以及成本效益等多维度因素。&lt;/p&gt;</description></item></channel></rss>