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Grok 4 vs Qwen VL Max

Compare Grok 4 and Qwen VL Max side-by-side. See how these vision models stack up in Open Prompt, Image Captioning, and OCR.

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GrokGrok 4
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QwenQwen VL Max
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Models in this comparison

Grok

Grok 4 vs Qwen VL Max: Overview

Grok 4

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.

Qwen VL Max

Qwen-VL-Max is a proprietary vision-language model developed by Alibaba’s QwenLM team. Released on February 1, 2025, it is the flagship offering in the Qwen-VL family and sits above the VL-Plus tier in capability.

The model supports text and image inputs and provides a context window of up to 131,072 tokens (with a maximum input size of 129,024 tokens), according to Alibaba Cloud Model Studio. While the parameter count for VL-Max has not been publicly disclosed, the broader Qwen2.5-VL series includes open-weight models scaling up to 72B parameters.

Qwen-VL-Max is optimized for advanced multimodal applications such as document parsing, visual reasoning, multilingual analysis, and structured data extraction. Unlike the open Qwen2.5-VL variants, VL-Max is not available as open weights.

Grok 4 vs Qwen VL Max Comparison Table

PropertyGrok 4Qwen VL Max
OrganizationxAIQwen
Categoryclosedclosed
Modalitymultimodalmultimodal
Release DateJul 2025Feb 2025
Context Window256K131K
Parameters
LicenseProprietaryProprietary
Vision Tasks
CaptioningDemoDemo
Object Detection
OCRDemoDemo
Vision Language
Visual Question AnsweringDemoDemo
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%
Avg Response Time85.24s
Defect Detection
80%(12/15)
Document Understanding
44.4%(4/9)
Object Counting
10%(1/10)
Object Understanding
57.1%(8/14)
Spatial Understanding
52.6%(10/19)