Comprehensive side-by-side LLM comparison
Qwen2.5 VL 72B Instruct leads with 19.6% higher average benchmark score. Qwen2.5 VL 72B Instruct supports multimodal inputs. Overall, Qwen2.5 VL 72B Instruct is the stronger choice for coding tasks.
Gemma 2 27B is a language model developed by Google. It achieves strong performance with an average score of 69.1% across 16 benchmarks. It excels particularly in ARC-E (88.6%), HellaSwag (86.4%), BoolQ (84.8%). 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 72B Instruct is a multimodal language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 66.9% across 30 benchmarks. It excels particularly in DocVQA (96.4%), Android Control Low_EM (93.7%), ChartQA (89.5%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
7 months newer
Gemma 2 27B
2024-06-27
Qwen2.5 VL 72B Instruct
Alibaba Cloud / Qwen Team
2025-01-26
Average performance across 46 common benchmarks
Gemma 2 27B
Qwen2.5 VL 72B Instruct
Available providers and their performance metrics
Gemma 2 27B
Qwen2.5 VL 72B Instruct
Gemma 2 27B
Qwen2.5 VL 72B Instruct