GLM-5.2 has launched with open weights, a 1M context window, MIT license, and two reasoning modes. Early results show it ranks near the top in coding benchmarks, indicating strong real-world potential beyond API-only models.
GLM-5.2 Releases Open Weights with Strong Coding Performance
GLM-5.2 Beats Gemini and GPT-5.4 in Coding but Is Inefficient
GLM-5.2 surpasses GPT-5.4 and the entire Gemini lineup in coding performance on the DeepSWE benchmark. However, it requires significantly more output tokens, making it substantially less efficient in terms of cost-per-task compared to models like GPT-5.5 and Claude Opus 4.8.
GLM-5.2 Is The Best Open Weight Creative Writing Model
Sam Paech's Creative Writing Benchmark on EQ Bench ranks GLM-5.2 as the top open-weight creative writing model. The assessment is based on performance metrics from the EQ Bench creative writing evaluation.
GLM-5.2 is the leading open weights model on the Artificial Analysis Intelligence Index
GLM-5.2, a 753B-parameter text-only model from Z.ai, is now the top open weights model on the Artificial Analysis Intelligence Index, outperforming MiniMax-M3, DeepSeek V4 Pro, and Kimi K2.6. It features a 1 million token context window and ranks second on the Code Arena WebDev leaderboard, despite lacking image input capabilities.
Cheapest way to run GLM 5.x locally without unified memory
A user explores cost-effective methods to run GLM 5.x locally using 4-bit quantization, such as IQ4_XS, without relying on unified memory. Options include CPU-only setups like Sapphire Rapids ES with DDR5, multi-GPU offloading, or similar-sized models. The user runs a 5900X + 128GB DDR4 + 7900XT 20GB system, successfully handling Minimax 2.7 at Q4_K_S and Qwen 3.6 27B at IQ4_XS.
Zhipu AI releases GLM-4.5 models matching Claude and DeepSeek
Zhipu AI has released the GLM-4.5 family of open-weights large language models, designed to excel at tool use and coding while offering switchable reasoning capabilities.