GLM 5.1 vs Minimax 2.7

<!-- SC_OFF --><div class="md"><p>There are plenty of &quot;bro trust me, this model is better for coding&quot; discussions out there. I wanted to replace the vibes with actual

<!-- SC_OFF --><div class="md"><p>Benchmark: 58.4 vs 56.7 (beats GPT-5.4)</p> <p>License: Fully open (Apache 2.0) </p> <p>What it actually does: Runs 8-hour fully autonomous agent

<!-- SC_OFF --><div class="md"><blockquote> <p><strong>WARNING: wait before download from HF: I just realised my upload of the new versions with the additional fix in the chat

<!-- SC_OFF --><div class="md"><p>One thing we’ve been noticing lately is that a surprisingly large percentage of day-to-day AI workflows no longer seem to require frontier-scale

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1srhtvg/where_we_are_in_a_year_everything_has_changed/"> <img alt="Where we are. In a year, everything has

<!-- SC_OFF --><div class="md"><p>Long time Claude Opus user, but after the recent session limit changes by Anthropic, I am seriously considering trying Chinese models for coding.

<!-- SC_OFF --><div class="md"><p>I have snobbishly long felt that the local models were not 'up to my standards' for local development, or otherwise able to compete with GHCP,

<!-- SC_OFF --><div class="md"><p>I have experience using llama.cpp on Windows/Linux with 8GB NVIDIA card (384 GB/s bandwidth) and offloading to CPU to run MoE models. I typically