Grok 4 vs Qwen2.5 VL 7B Instruct
Compare Grok 4 and Qwen2.5 VL 7B Instruct side-by-side. See how these vision models stack up in Open Prompt, Image Captioning, and OCR.
Compare Grok 4 vs Qwen2.5 VL 7B Instruct live
Run the same image across every model that supports a task and compare their outputs side-by-side.
Extract and compare text from images across multiple models.
Upload an image
Drag and drop an image here, or click to browse
Models in this comparison
Grok 4 vs Qwen2.5 VL 7B Instruct: Overview
Grok 4, released by xAI on July 9, 2025, is the fourth-generation model in the Grok family and the most advanced to date. It is multimodal, supporting text, vision, tool use, and real-time web search, with a reported 256,000-token context window for long-form reasoning and document analysis. Its training data extends through November 2024, making it the most up-to-date Grok model at launch.
The lineup includes Grok 4 Generalist for broad tasks, Grok 4 Heavy for higher-capacity reasoning, and Grok 4 Code optimized for programming and debugging. A notable feature is its always-on “Think” mode, designed for deeper multi-step reasoning. While xAI has not disclosed parameter counts, Grok 4 is positioned to compete with frontier models like GPT-5 and Claude 4, balancing real-time knowledge via web integration with structured tool use. It is best suited for coding, complex reasoning, and multimodal AI assistants.
Qwen2.5-VL-7B-Instruct is a 7-billion parameter vision-language model from Alibaba’s QwenLM team, released on January 26, 2025 under the Apache 2.0 license. It is the instruction-tuned variant of the 7B scale in the Qwen2.5-VL family, designed to process multimodal inputs such as text, images, charts, documents, and video. The model enables structured outputs—including JSON for structured content and bounding boxes for visual localization. Weights are publicly available on Hugging Face and GitHub, making it suitable for both research and applied multimodal use.
Grok 4 vs Qwen2.5 VL 7B Instruct Comparison Table
| Property | Grok 4 | Qwen2.5 VL 7B Instruct |
|---|---|---|
| Organization | xAI | Qwen |
| Category | closed | open |
| Modality | multimodal | multimodal |
| Release Date | Jul 2025 | Jan 2025 |
| Context Window | 256K | 33K |
| Parameters | 7B | |
| License | Proprietary | Apache 2.0 |
| Vision Tasks | ||
| Captioning | Demo | Demo |
| Object Detection | ||
| OCR | Demo | Demo |
| Vision Language | ||
| Visual Question Answering | Demo | Demo |
| Classification | ||
| Model Features | ||
| LLMs with Vision Capabilities | ||
| Multimodal Vision | ||
| Foundation Vision | ||
Vision Evalspass/fail results · 67 prompts Score key:≥75%40–74%<40% | ||
| Visual Understanding | ||
| Overall Score | 52.24% | 52.24% |
| Avg Response Time | 85.24s | 47.64s |
| Defect Detection | 80%(12/15) | 60%(9/15) |
| Document Understanding | 44.4%(4/9) | 77.8%(7/9) |
| Object Counting | 10%(1/10) | 0%(0/10) |
| Object Understanding | 57.1%(8/14) | 57.1%(8/14) |
| Spatial Understanding | 52.6%(10/19) | 57.9%(11/19) |