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

Grok-2 mini
xAI
Grok-2 mini is a multimodal language model developed by xAI. It achieves strong performance with an average score of 74.0% across 8 benchmarks. It excels particularly in DocVQA (93.2%), MMLU (86.2%), HumanEval (85.7%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents xAI's latest advancement in AI technology.

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.

Grok-2 mini
xAI
2024-08-13

Qwen2.5 VL 7B Instruct
Alibaba
2025-01-26
5 months newer
Average performance across 2 common benchmarks

Grok-2 mini

Qwen2.5 VL 7B Instruct
Performance comparison across key benchmark categories

Grok-2 mini

Qwen2.5 VL 7B Instruct
Provider Availability & Performance
Available providers and their performance metrics

Grok-2 mini

Qwen2.5 VL 7B Instruct

Grok-2 mini

Qwen2.5 VL 7B Instruct