Tag: z.ai

  • GLM-OCR: Z.ai’s 0.9B Model Takes the Top Spot on Document Understanding Benchmarks

    GLM-OCR: Z.ai’s 0.9B Model Takes the Top Spot on Document Understanding Benchmarks

    Key points Z.ai has open-sourced GLM-OCR, a compact multimodal model with 0.9 billion parameters that ranks first on OmniDocBench V1.5 with a score of 94.62. GLM-OCR is a multimodal optical character recognition model developed by Z.ai, the commercial arm of ZhipuAI, and designed specifically for complex document understanding. It supports three core recognition modes: general […]

  • GLM-5: Zhipu AI Ships a 744B Open-Weight Frontier Model

    GLM-5: Zhipu AI Ships a 744B Open-Weight Frontier Model

    Key points On February 11, 2026, Zhipu AI released GLM-5 through its Z.ai platform with 744 billion total parameters and a Mixture-of-Experts architecture. GLM-5 has 744B total parameters with 40B active per token, spanning 80 layers and 256 experts of which 8 are active at inference, a sparsity rate of about 5.9%. GLM-5 scored 50 […]

  • GLM-4.7-Flash: Z.ai’s Efficient 30B MoE Model for Coding and Agents

    GLM-4.7-Flash: Z.ai’s Efficient 30B MoE Model for Coding and Agents

    Key points Z.ai released GLM-4.7-Flash on January 20, 2026, a fully open-source model under the MIT license that is available for free via the Z.ai API platform. Despite its 30B label, the model uses a Mixture-of-Experts architecture with 31.2 billion total parameters but only approximately 3 billion active parameters during any given inference pass. It […]

  • 🖼️ What is GLM-Image?

    GLM-Image is a new open-source, industrial-grade image generation model recently released by Chinese artificial intelligence company Z.ai. It was introduced on January 14, 2026.(Z.ai) Key points GLM-Image is an open-source image generation model released by Chinese company Z.ai, introduced on January 14, 2026. It creates images from text prompts and also supports image-to-image tasks such […]

  • Inside GLM-4.6: Z.ai’s Latest Breakthrough in Large Language Models

    Recently, Z.ai (via the “zai-org” account) published GLM-4.6 on Hugging Face, presenting it as a next-generation multilingual/conversational model building on their prior GLM-4.5. (Hugging Face) Below is a deeper overview of what’s new, how it compares, and what it might enable in AI applications. Key points Z.ai published GLM-4.6 on Hugging Face, presenting it as […]