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What is GLM-4.1V?
GLM-4.1V represents a cutting-edge vision-language model that provides a powerful and efficient multimodal ability for interpreting and reasoning through different types of media, such as images, text, and documents. The 9-billion-parameter variant, referred to as GLM-4.1V-9B-Thinking, is built on the GLM-4-9B foundation and has been refined using a distinctive training method called Reinforcement Learning with Curriculum Sampling (RLCS). With a context window that accommodates 64k tokens, this model can handle high-resolution inputs, supporting images with a resolution of up to 4K and any aspect ratio, enabling it to perform complex tasks like optical character recognition, image captioning, chart and document parsing, video analysis, scene understanding, and GUI-agent workflows, which include interpreting screenshots and identifying UI components. In benchmark evaluations at the 10 B-parameter scale, GLM-4.1V-9B-Thinking achieved remarkable results, securing the top performance in 23 of the 28 tasks assessed. These advancements mark a significant progression in the fusion of visual and textual information, establishing a new benchmark for multimodal models across a variety of applications, and indicating the potential for future innovations in this field. This model not only enhances existing workflows but also opens up new possibilities for applications in diverse domains.
What is DeepSeek-OCR?
DeepSeek-OCR is an innovative open-source framework designed to explore Contexts Optical Compression, striving to enhance the boundaries of visual-text compression while analyzing the function of vision encoders through the perspective of LLMs. This pioneering model adeptly compresses large contexts using optical 2D mapping, with DeepEncoder serving as its core engine and DeepSeek3B-MoE-A570M acting as the decoding component. By effectively maintaining low activations even with high-resolution inputs, DeepEncoder achieves remarkable compression ratios, facilitating a manageable number of vision tokens crucial for document comprehension. The framework is specifically optimized for optical character recognition (OCR) and document parsing tasks associated with images and PDFs, offering inference capabilities through either vLLM or Transformers. Users can efficiently perform image OCR with streaming outputs, manage PDFs with high concurrency, or carry out batch evaluations for benchmarking. Furthermore, DeepSeek-OCR can convert documents into Markdown format, providing the ability to conduct OCR without being limited by layout constraints, parsing figures, offering detailed descriptions of images, and identifying referenced text within images. This broad range of features not only enhances its functionality but also positions DeepSeek-OCR as an essential resource for individuals seeking sophisticated document processing solutions, making it a highly versatile tool in various applications. Additionally, its continuous evolution promises further enhancements in user experience and performance.
Integrations Supported
Claude Code
Cline
DeepSeek
Kilo Code
Markdown
OpenRouter
Roo Code
Sup AI
Integrations Supported
Claude Code
Cline
DeepSeek
Kilo Code
Markdown
OpenRouter
Roo Code
Sup AI
API Availability
Has API
API Availability
Has API
Pricing Information
Free
Free Version
Free Trial Offered?
Pricing Information
Free
Free Version
Free Trial Offered?
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Zhipu AI
Date Founded
2023
Company Location
China
Company Website
chat.z.ai/
Company Facts
Organization Name
DeepSeek
Date Founded
2023
Company Location
China
Company Website
github.com/deepseek-ai/DeepSeek-OCR