<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Reviews &amp; Comparisons on Rosetears</title><link>https://rosetears.cn/en/tags/%E8%AF%84%E6%B5%8B%E5%AF%B9%E6%AF%94/</link><description>Recent content in Reviews &amp; Comparisons on Rosetears</description><generator>Hugo -- gohugo.io</generator><language>en-US</language><managingEditor>rose@rosetears.cn (Rosetears)</managingEditor><webMaster>rose@rosetears.cn (Rosetears)</webMaster><lastBuildDate>Sun, 01 Mar 2026 21:48:55 +0800</lastBuildDate><atom:link href="https://rosetears.cn/en/tags/%E8%AF%84%E6%B5%8B%E5%AF%B9%E6%AF%94/index.xml" rel="self" type="application/rss+xml"/><item><title>How to Choose a 2026 Coding Plan? Cost-Performance Comparison of Chinese and International LLM Subscriptions</title><link>https://rosetears.cn/en/posts/archives-87-87/</link><pubDate>Thu, 26 Feb 2026 10:21:00 +0800</pubDate><author>rose@rosetears.cn (Rosetears)</author><guid>https://rosetears.cn/en/posts/archives-87-87/</guid><description>If you are unsure which AI coding subscription to buy, this hands-on cost comparison compares GLM, Minimax, Kimi, Codex, Gemini, and Claude. It explains quota rules, hidden limits, Kimi&amp;rsquo;s 3× expansion, GLM weekly caps, and recommended combinations for different budgets and usage levels so developers can avoid wasting money.</description></item><item><title>Is LLM PDF Translation Too Expensive? Testing a New pdf2zh-next Workflow: Kimi for Terminology + DeepSeek for Body Text</title><link>https://rosetears.cn/en/posts/archives-76-76/</link><pubDate>Wed, 26 Nov 2025 12:20:00 +0800</pubDate><author>rose@rosetears.cn (Rosetears)</author><guid>https://rosetears.cn/en/posts/archives-76-76/</guid><description>Are LLM translation costs too high? This article tests the latest terminology-extraction feature in pdf2zh-next and compares Kimi K2 with DeepSeek V3/V3.2 in real use. It explains how a separated workflow and DeepSeek&amp;rsquo;s disk-cache mechanism can preserve academic terminology accuracy while sharply reducing token cost.</description></item><item><title>PDF2ZH: Who Is the King of Paper Translation? A Deep Comparison of the New and Old Versions</title><link>https://rosetears.cn/en/posts/archives-72-72/</link><pubDate>Mon, 20 Oct 2025 14:46:00 +0800</pubDate><author>rose@rosetears.cn (Rosetears)</author><guid>https://rosetears.cn/en/posts/archives-72-72/</guid><description>Still deciding between pdf2zh and the new pdf2zh-next (2.0)? This in-depth review compares v2.6.4 and v1.9.11 in a unified test environment, covering translation quality, API cost, speed, free access paths, and maintenance status, so you can choose the most suitable PDF paper-translation tool for research workflows.</description></item></channel></rss>