Tag: glm
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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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🎙️ GLM‑TTS – High‑Quality Text‑to‑Speech Model
GLM‑TTS is an open‑source text‑to‑speech (TTS) synthesis system built using large language models (LLMs). It’s designed to produce expressive, high‑quality speech from text and includes features like zero‑shot voice cloning and emotion control. (Hugging Face) Key points GLM-TTS is an open-source text-to-speech synthesis system built using large language models, designed to produce expressive, high-quality speech […]
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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 […]