model
Z.ai foundation model documented as open-weight and available through the GLM Coding Plan.
No evidence-backed relationships are recorded.
A dev.to post scores ten coding models on five real tasks and divides by price. The method is cheap to copy; the vendor plumbing it recommends deserves more scrutiny than the arithmetic.
Reality
IBM Research ran self-mined guidelines across eight models on AppWorld. One model gained 16.1 points for 5 percent more tokens; another gained nothing at all.
Reality
Self-propagating payloads did move between agents through editable soul files, but one inoculation paragraph held against 150-plus optimized strains, and nothing propagated in the wild.
Reality
Z.ai claims frontier agentic-coding scores at about 750B parameters, a third of Kimi K3, from extended post-training on the GLM-5.2 base. Open weights are promised in two weeks.
Reality
Z.ai's August 14 post claims post-training gains for coding agents, but the company's release notes still stop at GLM-5.1 and there is no API endpoint, model identifier or weight download.
Reality