Granite 4.0 3B Vision vs Qwen
Which Open Source Model is right for you? See our complete breakdown.
| Feature | Granite 4.0 3B Vision | Qwen |
|---|---|---|
| MegaOne Score | 6/10 | 8/10 |
| Category | Open Source Model | Open Source Model |
| Pricing Model | Open Source | Freemium |
| Starting Price | Free / Open Source | $0.03/mo |
| Free Tier | Yes | Yes |
| API Available | No | No |
| Open Source | No | No |
| iOS App | No | No |
| Android App | No | No |
| Chrome Extension | No | No |
| Company | IBM | Alibaba Cloud |
| Total Funding | N/A | $1.0B |
Visual Comparison
About Granite 4.0 3B Vision
A compact vision-language model designed for enterprise-grade document data extraction, focusing on charts, tables, and key-value pairs.
Granite 4.0 3B Vision is a 3-billion-parameter vision-language model (VLM) from IBM, engineered for enterprise document understanding. It operates as a LoRA adapter on top of the Granite 4.0 Micro language model, enabling efficient and accurate extraction of structured data from complex documents, forms, charts, and tables. Key capabilities include converting charts into machine-readable formats (CSV, summary, code), extracting tables into JSON or HTML, and performing semantic key-value pair extraction from forms, even with varying layouts.
About Qwen
Qwen is a family of large language and multimodal models developed by Alibaba Cloud, offering both open-source and commercial variants for diverse AI tasks.
Qwen is a comprehensive suite of AI models from Alibaba Cloud, designed for natural language processing, vision, audio, and coding tasks. It includes various models like Qwen3.8 for general reasoning, Qwen-Image-2.1 for image generation and editing, and Qwen-Audio for real-time speech. The platform provides both open-weight models for self-hosting and commercial API access through Alibaba Cloud Model Studio.
Qwen takes the edge
With a MegaOne score of 8/10 versus 6/10, Qwen edges ahead of Granite 4.0 3B Vision in our analysis. However, Granite 4.0 3B Vision may still be the better choice depending on your specific use case and budget.