Description

️ Tool Name: 🖼

Qwen2.5-VL-32B-Instruct

Categories: 🔖

  • Automation and Smart Agents
  • Education and Research
  • Data and Analytics
  • Data Preparation and Cleaning
  • Documents and Software Development Kits
  • Integrations and APIs
  • Programming and Development

️ What does this tool offer? ✏

Qwen2.5-VL-32B-Instruct is a multimodal AI model from Qwen, designed to understand, analyze, and interact with text, images, and videos. The model can analyze visual elements within images—such as text, diagrams, tables, icons, and designs—and can also understand long videos and identify important events within them.

The model supports AI agent applications (AI Agents), enabling it to use tools and interact with computers and phones, as well as locate elements within images using coordinates and generate structured output in JSON format, making it suitable for analyzing documents, invoices, forms, and visual data.

The model relies on an optimized architecture for understanding images and videos using dynamic resolution and dynamic frame rate technology, allowing it to handle inputs of varying sizes and quality more efficiently.

Qwen2.5-VL is available in several sizes, including 3, 7, 32, and 72 billion parameters, and the Qwen2.5-VL-32B-Instruct version is designed for conversation and instruction execution, containing approximately 33 billion parameters with support for BF16 and F32 data types.


What does it actually offer based on user experience? ⭐

  • Analyzing images and understanding their content.
  • Extracting text from images and documents.
  • Understanding tables, charts, and graphs.
  • Analyzing long videos and identifying important events.
  • Generating answers based on visual content.
  • Locating elements within images using coordinates.
  • Generate structured output in JSON format.
  • Support for smart agent applications.
  • Interact with computers and phones within AI applications.
  • Analyze invoices, forms, and documents.
  • Support for applications that need to understand both text and images.

Does it include automation? 🤖

Yes.

Qwen2.5-VL-32B-Instruct supports automation tasks through its ability to operate within AI agent systems, using tools, analyzing visual data, and interacting with computers and phones to perform tasks that rely on understanding images and text.


Pricing model: 💰

Free and open source.

Qwen2.5-VL-32B-Instruct is available as an open-source project on the Hugging Face platform under the Apache 2.0 license, and there are no paid subscription plans for the model itself.

Running the model may require paid computing resources, depending on usage and the infrastructure employed.


🆓 Free Plan Details:

FeatureDetails
PriceFree
LicenseApache 2.0
UsageAvailable as an open-source project
AccessVia Hugging Face
Available Models3B, 7B, 32B, 72B
Running the modelRequires a suitable technical environment

Paid plan details: 💳

PlanPriceFeatures
Qwen2.5-VL-32B-InstructThere is no paid plan for this modelThe model is free and open source
Hugging Face PRO$9 per month10x increase in private storage, 2x increase in public storage, 20x increase in inference credits, higher priority in ZeroGPU, hosting for Spaces, Gradio, and Docker, and development mode for Spaces
Hugging Face Team$20 per user per monthSingle Sign-On (SSO), data storage control, audit logs, permissions management, repository usage analytics, advanced security policies, Spaces with advanced computing options
Hugging Face Enterprise$50 per user per monthAll Team features, higher storage and bandwidth limits, SCIM for user management, advanced security tools, annual contracts, enterprise support

How to access the tool: 🧭

MethodDetails
Hugging Face HubAvailable via the Hugging Face platform
Local executionRequires installation of libraries such as Transformers and Accelerate
API / Inference ProvidersAvailable through supported inference providers
Cloud computingGPU resources can be used on demand

Demo link or official website: 🔗

https://huggingface.co/

Pricing Details

Hugging Face is a platform specializing in the development and sharing of artificial intelligence and machine learning models. It provides an integrated environment for developers and researchers to host models, datasets, and AI applications, and to run inference operations. The platform offers plans for individuals, teams, and organizations, as well as storage, GPU computing, and cloud-based model deployment services. Hugging Face operates on a freemium model with paid plans; the platform can be used for free to access thousands of models, datasets, and public spaces, while paid plans offer additional benefits such as increased private storage, computing priority, private space deployment, collaboration tools, and enterprise capabilities. Free Plan: Allows you to use Hugging Face Hub to explore models, download public models and datasets, create projects and share work with the community, and use some free computing resources such as ZeroGPU and public spaces, with limits on private storage and advanced usage. Hugging Face PRO: This plan costs $9 per month and is designed for individual users who need greater capabilities for developing AI projects. The plan offers a 10-fold increase in private storage, a 2-fold increase in public storage, 20 times the inference credits, higher priority in ZeroGPU queues, the ability to host ZeroGPU, Gradio, and Docker spaces, as well as development mode for spaces, a personal blog, and private data viewing. Hugging Face Team: The cost is $20 per month per user, and it is designed for teams and startups. It offers single sign-on (SSO) support, control over data storage location, audit logs, permission management via Resource Groups, repository usage analytics, advanced security policies, centralized code control, and the ability to create Gradio and Docker spaces with advanced computing options. All team members also receive the ZeroGPU and Inference Providers benefits included in the PRO plan. Hugging Face Enterprise: Priced at $50 per user per month, this plan is designed for large enterprises requiring advanced infrastructure. It includes all the benefits of the Team plan, plus higher limits for storage, bandwidth, and API usage rates; automated user management via SCIM; advanced security and control tools, custom billing with annual contracts, support for legal and compliance operations, and dedicated enterprise support. Hugging Face also offers data-volume-based storage services, with Hub storage starting at a base price of approximately $12 per terabyte per month for public repositories and $18 per terabyte for private repositories, with discounts available for storage volumes exceeding 500 terabytes. Cloud computing services and Spaces start with free usage via CPU Basic and ZeroGPU, while paid GPU resources are available depending on the processor type. Prices for some GPU units, such as the NVIDIA T4, start at approximately $0.40 to $0.50 per hour, the NVIDIA L4 at around $0.80 per hour, and the NVIDIA A100 at around $2.50 per hour, while advanced resources such as the NVIDIA H200 and B200 command higher prices depending on the number of cards used. Hugging Face also offers an Inference Endpoints service for running AI models on dedicated servers starting at about $0.033 per hour, with support for CPUs, GPUs such as the T4, L4, A100, and H100, and advanced options for production applications that require consistent performance and scalability.