<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/cde61138ae544d90a13a43e412836b17&quot; frameborder=&quot;0&quot; width=&quot;1664&quot; height=&quot;1248&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1248</height><width>1664</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1248</thumbnail_height><thumbnail_width>1664</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/cde61138ae544d90a13a43e412836b17-3b381f17e94b102b.gif</thumbnail_url><duration>1605.745</duration><title>Comparing AI Models: Insights and Results 🚀</title><description>In this video, I dive into the performance of various AI models, including GPT-4.5, Anthropic&apos;s Claw 3.7 Sonnet, and Google&apos;s Flash 2.0. I share my findings on their response times, costs, and overall effectiveness for different types of prompts. I also highlight some interesting results from my tests and suggest which models to consider based on their strengths. Please take a moment to review the comparisons and let me know your thoughts!</description></oembed>