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GLM-4. 6V: Open Source Multimodal Models with Native Tool Use GLM-4 6V is equipped with native multimodal tool calling capability: Multimodal Input: Images, screenshots, and document pages can be passed directly as tool parameters without being converted to textual descriptions in advance, thus avoiding information loss and largely simplifying pipeline
zai-org GLM-4. 6V · Hugging Face GLM-4 6V takes a multimodal context—spanning documents, user inputs, and tool-retrieved images—and synthesizes coherent, interleaved image-text content tailored to the task During generation it can actively call search and retrieval tools to gather and curate additional text and visuals, producing rich, visually grounded content
GLM-4. 5 - by Zhipu AI GLM-4 5 is Zhipu AI's flagship open-source large language model, designed specifically for agentic AI applications Released in July 2025, GLM-4 5 represents a breakthrough in combining massive scale with practical usability through its innovative Mixture-of-Experts (MoE) architecture
ZHIPU AI OPEN PLATFORM Upgraded across 8 authoritative benchmarks, GLM-4 6 remains the No 1 domestic model With a 355B-parameter MoE architecture and 200K context, it surpasses GLM-4 5 in coding, reasoning, search, writing, and agent applications
GitHub - THUDM GLM: GLM (General Language Model) GLM is a General Language Model pretrained with an autoregressive blank-filling objective and can be finetuned on various natural language understanding and generation tasks
GLM-4. 5: Reasoning, Coding, and Agentic Abililties GLM-4 5 enhances the complex code generation capabilities introduced in the April release of GLM-4 The model now creates sophisticated standalone artifacts—from interactive mini-games to physics simulations—across HTML, SVG, Python and other formats