Comprehensive side-by-side LLM comparison
Qwen2.5 VL 7B Instruct leads with 21.5% higher average benchmark score. Qwen2.5 VL 7B Instruct supports multimodal inputs. Overall, Qwen2.5 VL 7B Instruct is the stronger choice for coding tasks.
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%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Google's latest advancement in AI technology.
Alibaba Cloud / Qwen Team
Qwen2.5 VL 7B Instruct is a multimodal language model developed by Alibaba Cloud / Qwen Team. 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 Cloud / Qwen Team's latest advancement in AI technology.
7 months newer
Gemma 2 9B
2024-06-27
Qwen2.5 VL 7B Instruct
Alibaba Cloud / Qwen Team
2025-01-26
Average performance across 48 common benchmarks
Gemma 2 9B
Qwen2.5 VL 7B Instruct
Available providers and their performance metrics
Gemma 2 9B
Qwen2.5 VL 7B Instruct
Gemma 2 9B
Qwen2.5 VL 7B Instruct