GLM-4.1V

GLM-4.1V

Zhipu AI
Qwen2.5-VL

Qwen2.5-VL

Alibaba
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About

GLM-4.1V is a vision-language model, providing a powerful, compact multimodal model designed for reasoning and perception across images, text, and documents. The 9-billion-parameter variant (GLM-4.1V-9B-Thinking) is built on the GLM-4-9B foundation and enhanced through a specialized training paradigm using Reinforcement Learning with Curriculum Sampling (RLCS). It supports a 64k-token context window and accepts high-resolution inputs (up to 4K images, any aspect ratio), enabling it to handle complex tasks such as optical character recognition, image captioning, chart and document parsing, video and scene understanding, GUI-agent workflows (e.g., interpreting screenshots, recognizing UI elements), and general vision-language reasoning. In benchmark evaluations at the 10 B-parameter scale, GLM-4.1V-9B-Thinking achieved top performance on 23 of 28 tasks.

About

Qwen2.5-VL is the latest vision-language model from the Qwen series, representing a significant advancement over its predecessor, Qwen2-VL. This model excels in visual understanding, capable of recognizing a wide array of objects, including text, charts, icons, graphics, and layouts within images. It functions as a visual agent, capable of reasoning and dynamically directing tools, enabling applications such as computer and phone usage. Qwen2.5-VL can comprehend videos exceeding one hour in length and can pinpoint relevant segments within them. Additionally, it accurately localizes objects in images by generating bounding boxes or points and provides stable JSON outputs for coordinates and attributes. The model also supports structured outputs for data like scanned invoices, forms, and tables, benefiting sectors such as finance and commerce. Available in base and instruct versions across 3B, 7B, and 72B sizes, Qwen2.5-VL is accessible through platforms like Hugging Face and ModelScope.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers and AI researchers seeking a solution offering a vision-language model that balances size and capability, ideal for building multimodal agents, document/image analysis tools, or GUI-based automation workflows

Audience

AI researchers, developers, and enterprises seeking a powerful vision-language model for advanced image analysis, document processing, and multimodal AI applications

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Zhipu AI
Founded: 2023
China
chat.z.ai/

Company Information

Alibaba
Founded: 1999
China
qwenlm.github.io/blog/qwen2.5-vl/

Alternatives

GLM-4.6V

GLM-4.6V

Zhipu AI

Alternatives

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Dexit

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HunyuanOCR

HunyuanOCR

Tencent
GLM-4.5V-Flash

GLM-4.5V-Flash

Zhipu AI
Qwen3-VL

Qwen3-VL

Alibaba
Qwen2-VL

Qwen2-VL

Alibaba
Pixtral Large

Pixtral Large

Mistral AI
Qwen3

Qwen3

Alibaba

Categories

Categories

Integrations

Alibaba Cloud
BLACKBOX AI
Claude Code
Cline
Hugging Face
Kilo Code
LM-Kit.NET
ModelScope
OpenRouter
Parasail
Qwen Chat
Roo Code
Sup AI
kluster.ai

Integrations

Alibaba Cloud
BLACKBOX AI
Claude Code
Cline
Hugging Face
Kilo Code
LM-Kit.NET
ModelScope
OpenRouter
Parasail
Qwen Chat
Roo Code
Sup AI
kluster.ai
Claim GLM-4.1V and update features and information
Claim GLM-4.1V and update features and information
Claim Qwen2.5-VL and update features and information
Claim Qwen2.5-VL and update features and information