{"schema_version":"onlylabs.public_signal.v1","title":"Zhipu AI (GLM) Model: zai-org/GLM-4.1V-9B-Thinking","description":"Zhipu AI (GLM) model signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/bc302628-a073-47dc-9f70-7a3305ca9f56","json_url":"https://onlylabs.fyi/signals/bc302628-a073-47dc-9f70-7a3305ca9f56/signal.json","generated_at":"2026-06-11T01:33:28.522142+00:00","org":{"slug":"zhipu","name":"Zhipu AI (GLM)","category":"frontier-lab","category_label":"Frontier lab","dossier_url":"https://onlylabs.fyi/labs/zhipu","dossier_json_url":"https://onlylabs.fyi/labs/zhipu/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/bc302628-a073-47dc-9f70-7a3305ca9f56","signal_json":"https://onlylabs.fyi/signals/bc302628-a073-47dc-9f70-7a3305ca9f56/signal.json","source":"https://huggingface.co/zai-org/GLM-4.1V-9B-Thinking","lab_dossier":"https://onlylabs.fyi/labs/zhipu","lab_dossier_json":"https://onlylabs.fyi/labs/zhipu/dossier.json","analysis":"https://onlylabs.fyi/analysis/zhipu","analysis_json":"https://onlylabs.fyi/analysis/zhipu/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/zhipu/evidence.json","category":"https://onlylabs.fyi/frontier","category_json":"https://onlylabs.fyi/frontier.json","category_feed":"https://onlylabs.fyi/frontier/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json","topic":"https://onlylabs.fyi/topics/releases","topic_signals_json":"https://onlylabs.fyi/topics/releases/signals.json","topic_feed":"https://onlylabs.fyi/topics/releases/feed.xml","data_business":null},"answer_pack":{"answer":"Zhipu AI (GLM) published zai-org/GLM-4.1V-9B-Thinking. 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As real-world AI tasks grow increasingly complex, VLMs must evolve beyond basic multimodal perception to enhance their reasoning capabilities in complex tasks. This involves improving accuracy, comprehensiveness, and intelligence, enabling applications such as complex problem solving, long-context understanding, and multimodal agents. Based on the [GLM-4-9B-0414](https://github.com/zai-org/GLM-4) foundation model, we present the new open-source..."},"evidence_pages":[{"url":"https://huggingface.co/zai-org/GLM-4.1V-9B-Thinking/raw/main/README.md","final_url":"https://huggingface.co/zai-org/GLM-4.1V-9B-Thinking/raw/main/README.md","title":"zai-org/GLM-4.1V-9B-Thinking model card","http_status":200,"content_type":"text/plain; charset=utf-8","capture_method":"plain","fetched_at":"2026-06-11T01:33:28.522142+00:00","bytes":4422,"raw_path":"6f9b46fc346c73df220cd67e3dc3240fa3037975f98cc47a244dcc00d27b950d.md","content_hash":"7ac0ed3602f183bcf9e0487adb128658d861957c8021443dcea918f8d4460566","excerpt_chars":1200,"truncated":true,"excerpt":"--- license: mit language: - en - zh base_model: - zai-org/GLM-4-9B-0414 pipeline_tag: image-text-to-text library_name: transformers tags: - reasoning --- GLM-4.1V-9B-Thinking <div align=\"center\"> <img src=https://raw.githubusercontent.com/zai-org/GLM-4.1V-Thinking/99c5eb6563236f0ff43605d91d107544da9863b2/resources/logo.svg width=\"40%\"/> </div> <p align=\"center\"> 📖 View the GLM-4.1V-9B-Thinking <a href=\"https://arxiv.org/abs/2507.01006\" target=\"_blank\">paper</a>. <br> 📍 Using GLM-4.1V-9B-Thinking API at <a href=\"https://www.bigmodel.cn/dev/api/visual-reasoning-model/GLM-4.1V-Thinking\">Zhipu Foundation Model Open Platform</a> </p> Model Introduction Vision-Language Models (VLMs) have become foundational components of intelligent systems. As real-world AI tasks grow increasingly complex, VLMs must evolve beyond basic multimodal perception to enhance their reasoning capabilities in complex tasks. This involves improving accuracy, comprehensiveness, and intelligence, enabling applications such as complex problem solving, long-context understanding, and multimodal agents. 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