Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

xAI

Grok-4 Heavy

xAI

Grok-4 Heavy is a multimodal language model developed by xAI. It achieves strong performance with an average score of 79.5% across 6 benchmarks. It excels particularly in AIME 2025 (100.0%), HMMT25 (96.7%), GPQA (88.4%). The model shows particular specialization in general tasks with an average performance of 79.5%. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents xAI's latest advancement in AI technology.

Alibaba

Qwen2.5 VL 7B Instruct

Alibaba

Qwen2.5 VL 7B Instruct is a multimodal language model developed by Alibaba. It achieves strong performance with an average score of 64.5% across 32 benchmarks. It excels particularly in DocVQA (95.7%), Android Control Low_EM (91.4%), MobileMiniWob++_SR (91.4%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.

Alibaba

Qwen2.5 VL 7B Instruct

Alibaba

2025-01-26

xAI

Grok-4 Heavy

xAI

2025-07-09

5 months newer

Performance comparison across key benchmark categories

xAI

Grok-4 Heavy

general
+11.8%
79.5%
Alibaba

Qwen2.5 VL 7B Instruct

general
67.7%
Knowledge Cutoff
Training data recency comparison

Grok-4 Heavy

2024-12-31

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

xAI

Grok-4 Heavy

0 providers
Alibaba

Qwen2.5 VL 7B Instruct

0 providers
xAI

Grok-4 Heavy

Avg Score:0.0%
Providers:0
Alibaba

Qwen2.5 VL 7B Instruct

Avg Score:0.0%
Providers:0