<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Phronic · Pip</title><description>Results, runs and how we measured them.</description><link>https://phronic.ai/</link><item><title>Pip vs three models. Four benchmarks.</title><link>https://phronic.ai/blog/pip-vs-three-models/</link><guid isPermaLink="true">https://phronic.ai/blog/pip-vs-three-models/</guid><description>We ran Pip, Jev, Opus 5.5 and GPT 6.0 Astra on the same four jobs and measured accuracy, wall-clock time and cost.</description><pubDate>Thu, 24 Sep 2026 00:00:00 GMT</pubDate><category>Benchmarks</category></item><item><title>All of MMLU in one request.</title><link>https://phronic.ai/blog/mmlu-in-one-request/</link><guid isPermaLink="true">https://phronic.ai/blog/mmlu-in-one-request/</guid><description>All 14,042 questions, about 1.5M tokens, sent as one API request. How we ran it, how long it took, and how it compares with other leading models.</description><pubDate>Thu, 24 Sep 2026 00:00:00 GMT</pubDate><category>Benchmarks</category></item></channel></rss>