FoodWiz

GLM-4.6V is a large-scale multimodal foundation model developed by Z.ai, available in two variants: the full 106B parameter version designed for cloud and high-performance cluster deployments, and a lightweight 9B Flash version optimized for local and low-latency use. The model supports a 128K token context window, allowing it to process long documents, multi-page files, and complex mixed-media inputs natively without converting content to plain text first. It was trained with a data cutoff of December 2025.

GLM-4.6 is a large language model developed by Zhipu AI (Z.ai), built on a Mixture-of-Experts architecture with approximately 357 billion parameters. It supports both English and Chinese, carries a 200,000-token context window, and is released under the MIT license, making it available for commercial and personal use without restrictions. The model was released in late 2025 and represents Zhipu AI's flagship offering in the GLM series.

GLM-4.7 is a 358-billion-parameter large language model developed by Z.ai (formerly Zhipu AI/THUDM) and released in December 2025. It is designed specifically for agentic workflows, multi-step coding tasks, terminal automation, and complex mathematical and scientific reasoning. The model is available under an MIT license, making it usable for both commercial and non-commercial applications. It supports a 131,072-token context window, allowing it to handle long documents and extended coding sessions.

GLM-5 is a 744-billion-parameter Mixture-of-Experts language model developed by Z.ai (formerly Zhipu AI), released in February 2026 under the MIT license. It activates 40 billion parameters per token and supports a 200,000-token context window, making it suited for tasks that require processing large volumes of text in a single pass. The model was pre-trained on 28.5 trillion tokens and incorporates DeepSeek Sparse Attention to reduce inference costs while maintaining long-context performance.