Florence-2

Florence-2

Microsoft
GLM-4.1V

GLM-4.1V

Zhipu AI
+
+

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About

Florence-2-large is an advanced vision foundation model developed by Microsoft, capable of handling a wide variety of vision and vision-language tasks, such as captioning, object detection, segmentation, and OCR. Built with a sequence-to-sequence architecture, it uses the FLD-5B dataset containing over 5 billion annotations and 126 million images to master multi-task learning. Florence-2-large excels in both zero-shot and fine-tuned settings, providing high-quality results with minimal training. The model supports tasks including detailed captioning, object detection, and dense region captioning, and can process images with text prompts to generate relevant responses. It offers great flexibility by handling diverse vision-related tasks through prompt-based approaches, making it a competitive tool in AI-powered visual tasks. The model is available on Hugging Face with pre-trained weights, enabling users to quickly get started with image processing and task execution.

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.

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

Researchers and AI developers needing a tool to perform complex vision tasks like object detection, captioning, and OCR

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

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

Microsoft
Founded: 1975
United States
huggingface.co/microsoft/Florence-2-large

Company Information

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

Alternatives

PaliGemma 2

PaliGemma 2

Google

Alternatives

GLM-4.6V

GLM-4.6V

Zhipu AI
SmolVLM

SmolVLM

Hugging Face
HunyuanOCR

HunyuanOCR

Tencent
GLM-4.5V-Flash

GLM-4.5V-Flash

Zhipu AI
Pixtral Large

Pixtral Large

Mistral AI

Categories

Categories

Integrations

Claude Code
Cline
Kilo Code
OpenRouter
Roo Code
Sup AI

Integrations

Claude Code
Cline
Kilo Code
OpenRouter
Roo Code
Sup AI
Claim Florence-2 and update features and information
Claim Florence-2 and update features and information
Claim GLM-4.1V and update features and information
Claim GLM-4.1V and update features and information