Tracking LLM Pricing Monthly: An Open Dataset for 22 AI Models

<h1> We open-sourced 449 real equipment financing quotes so nobody has to trust our math </h1> <p>Commercial equipment financing sites are almost always a black box: you land on a

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1s6r8ro/why_the_pricing_is_so_uneven_like_for_very_small/"> <img alt="Why the pricing is so uneven? like for

<!-- SC_OFF --><div class="md"><p>Disclosure: I built LabelSets (labelsets.ai). Sharing the technical approach behind how we score dataset quality.</p> <p>THE PROBLEM</p> <p>Most

<p>57% of organizations estimate their data isn't AI-ready. General-purpose LLMs handle broad tasks well but hallucinate on specialized queries, miss domain jargon, and can't

<a href="https://news.ycombinator.com/item?id=48241172">Comments</a>

<p>In the first eight weeks of 2026, ten major open-weight LLM architectures were released.</p> <p>GLM-5 matched GPT-5.2 and Claude Opus 4.6 on benchmarks. Step 3.5 Flash

<p>Your Intel laptop has an NPU. It has probably had one for a while. Intel has been marketing it enthusiastically. You have been ignoring it politely.</p> <p>Fair enough. Until

<p>There are more open source tools than ever. GitHub has hundreds of millions of repositories. And yet, when you need a specific tool — a self-hosted analytics platform, a