<?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 on Hummingbird Labs</title><link>https://hummingbirdlabs.github.io/tags/llm/</link><description>Recent content in LLM on Hummingbird Labs</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sun, 24 May 2026 09:36:00 +0800</lastBuildDate><atom:link href="https://hummingbirdlabs.github.io/tags/llm/index.xml" rel="self" type="application/rss+xml"/><item><title>Deepseek V4 Pro Price Drop Again on May 23, 2026</title><link>https://hummingbirdlabs.github.io/posts/post-006/</link><pubDate>Sun, 24 May 2026 09:36:00 +0800</pubDate><guid>https://hummingbirdlabs.github.io/posts/post-006/</guid><description>Deepseek V4 Pro pricing reduced to 25% of original price. Exploring AI model cost trends, WPF development challenges with LLMs, and why detailed debug logging is essential for AI-assisted coding.</description></item><item><title>Using Qwen 3.6 Plus: Great but a Bit Expensive</title><link>https://hummingbirdlabs.github.io/posts/post-003/</link><pubDate>Fri, 22 May 2026 08:22:00 +0800</pubDate><guid>https://hummingbirdlabs.github.io/posts/post-003/</guid><description>Hands-on cost analysis of Qwen 3.6 Plus for large-scale C# development: why 876K tokens for 1.7 RMB looks cheap but 30 RMB per engineering task adds up fast, and how a dual-model strategy with DeepSeek cuts the bill.</description></item><item><title>DeepSeek v4 Pro, Qwen 3.6 Plus, or Others: Which Should I Use?</title><link>https://hummingbirdlabs.github.io/posts/post-002/</link><pubDate>Thu, 21 May 2026 19:11:00 +0800</pubDate><guid>https://hummingbirdlabs.github.io/posts/post-002/</guid><description>Real daily usage data comparing DeepSeek v4 Pro vs Qwen 3.6 Plus for AI-assisted coding: token counts, RMB costs, and which model gives better value after GitHub Copilot&amp;#39;s June 2026 pricing shift.</description></item></channel></rss>