<?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>LLM Speed Comparison on Hummingbird Labs</title><link>https://hummingbirdlabs.github.io/tags/llm-speed-comparison/</link><description>Recent content in LLM Speed Comparison on Hummingbird Labs</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 22 May 2026 21:16:00 +0800</lastBuildDate><atom:link href="https://hummingbirdlabs.github.io/tags/llm-speed-comparison/index.xml" rel="self" type="application/rss+xml"/><item><title>More on TRAE China Version: Free Models Are Great But Slow</title><link>https://hummingbirdlabs.github.io/posts/post-005/</link><pubDate>Fri, 22 May 2026 21:16:00 +0800</pubDate><guid>https://hummingbirdlabs.github.io/posts/post-005/</guid><description>A detailed performance comparison of TRAE China&amp;#39;s free LLMs vs paid models: DeepSeek V4 Pro with think mode takes 50 minutes for large tasks, while free Qwen3.6 Plus is significantly faster with shorter queue times. Real data from actual coding projects, plus thoughts on DeepSeek&amp;#39;s mission to democratize AI.</description></item></channel></rss>