Tag: zhipu
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GLM-5.3-Flash: 320B Multimodal MoE, Weights on Day One
On August 26, 2026, Z.ai released GLM-5.3-Flash — a 320-billion-parameter Mixture-of-Experts model that activates just 18 billion parameters per token, and the first natively multimodal model in the GLM-5 series. It is also the release that inverts the pattern set twelve days earlier: GLM-5.3 shipped on August 14 with its weights held back for a […]
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GLM-5.3: Z.ai Scales Post-Training, Holds the Weights Back
On August 14, 2026, Z.ai (formerly Zhipu AI) released GLM-5.3 — and, unusually, without a new base model. GLM-5.3 sits on the same 743-billion-parameter Mixture-of-Experts base as June’s GLM-5.2, and every reported gain comes from extended post-training alone. The model is live now through Z.ai’s API, its GLM Coding Plan, and the ZCode client, but […]
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GLM-5.2: Z.ai’s Open-Weights Coder Beats GPT-5.5 at 1/6 the Cost
On June 13, 2026, Z.ai (formerly Zhipu AI) released GLM-5.2 — a 753-billion-parameter open-weights Mixture-of-Experts model built for long-horizon, autonomous coding. The headline claim is striking: GLM-5.2 edges past OpenAI’s GPT-5.5 on several multi-step engineering benchmarks while costing roughly one-sixth as much to run. The full weights ship under an unrestricted MIT license on Hugging […]
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GLM-5.1: Z.ai’s Open-Weight Model Takes #1 on SWE-Bench Pro
On April 7, 2026, Z.ai (formerly Zhipu AI) released GLM-5.1 — a 754-billion-parameter open-weight Mixture-of-Experts model that claims the #1 position on SWE-Bench Pro with a score of 58.4%, edging out Claude Opus 4.6 (57.3%). Licensed under MIT and designed for agentic engineering, GLM-5.1 can autonomously sustain coding tasks for up to eight hours across […]
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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 […]
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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 […]
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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 […]
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🖼️ 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 […]
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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 […]