GLM-5.1
Z.ai's GLM-5.1 is an open-weight 754B MoE model that tops SWE-Bench Pro with 58.4, sustains 8-hour autonomous coding sessions, and runs under MIT license at $0.95/M input tokens.
Articles Tagged "GLM"
Z.AI Will Ban Your Coding Plan For Non-Coding Use
Z.AI updated its GLM Coding Plan usage policy. Non-coding requests now trigger aggressive throttling, and three violations mean a permanent ban - which explains the wave of 1302 and 1303 rate-limit errors users have been hitting this week.
GLM-5.1 Review: Open-Source Model Tops SWE-Bench Pro
Z.ai's GLM-5.1 is a 754B open-weight model that claims the top spot on SWE-Bench Pro without a single NVIDIA chip - here's how it holds up in practice.
GLM-5
Zhipu AI's GLM-5 is a 744B MoE model with 40B active parameters, trained on 100K Huawei Ascend chips, scoring 77.8% SWE-bench and 50 on Artificial Analysis Intelligence Index - MIT licensed.
China's GLM-5 Rivals GPT-5.2 on Zero Nvidia Silicon
Zhipu AI's 744B open-source model GLM-5 was trained entirely on Huawei Ascend chips and now competes with GPT-5.2 and Claude Opus on major benchmarks.
Kimi K2.5 vs GLM-4.7-Flash: China's Open-Source Heavyweight vs the Free API Underdog
Comparing two Chinese AI models with MIT-family licenses - Moonshot AI's trillion-parameter Kimi K2.5 against Zhipu AI's ultra-efficient GLM-4.7-Flash that punches well above its weight on coding and agentic tasks.
GLM-4.7-Flash
Zhipu's GLM-4.7-Flash is a 30B-A3B MoE model that posts 59.2% on SWE-bench Verified and 79.5% on tau2-Bench while running on a single RTX 4090 - MIT licensed and free via the Z.AI API.
Qwen3.5-35B-A3B vs GLM-4.7-Flash: Two Chinese MoE Models, Very Different Strengths
Head-to-head comparison of Qwen3.5-35B-A3B and GLM-4.7-Flash - two Chinese-origin 30B-A3B MoE models with Apache 2.0/MIT licenses that dominate different benchmarks despite near-identical parameter budgets.
A Group of College Students Distilled Claude, GPT, and Gemini Into Open-Source Models for $52
TeichAI, a four-person non-profit, generated 250 reasoning samples from Claude Opus 4.5, fine-tuned open-weight models on the result, and racked up 67,000 downloads. The legal and technical implications are more interesting than the benchmarks.
GLM-5 Arrives: 744B-Parameter Open-Source Model Built for Agents
Z.ai releases GLM-5, a 744B parameter open-source Mixture-of-Experts model purpose-built for agentic tasks, scoring 77.8% on SWE-bench Verified and 56.2% on Terminal-Bench 2.0.
