Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
Gemma 2 9B
Gemma 2 9B is a language model developed by Google. It achieves strong performance with an average score of 64.6% across 16 benchmarks. It excels particularly in ARC-E (88.0%), BoolQ (84.2%), HellaSwag (81.9%). The model shows particular specialization in reasoning tasks with an average performance of 79.7%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Google'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.
Gemma 2 9B
2024-06-27
Qwen2.5 VL 7B Instruct
Alibaba
2025-01-26
7 months newer
Performance comparison across key benchmark categories
Gemma 2 9B
Qwen2.5 VL 7B Instruct
Provider Availability & Performance
Available providers and their performance metrics
Gemma 2 9B
Qwen2.5 VL 7B Instruct
Gemma 2 9B
Qwen2.5 VL 7B Instruct