Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Both models have their strengths depending on your specific coding needs.
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 14B Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 70.0% across 16 benchmarks. It excels particularly in GSM8k (94.8%), HumanEval (83.5%), MBPP (82.0%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
2 months newer
Gemma 2 27B
2024-06-27
Qwen2.5 14B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Average performance across 26 common benchmarks
Gemma 2 27B
Qwen2.5 14B Instruct
Available providers and their performance metrics
Gemma 2 27B
Qwen2.5 14B Instruct
Gemma 2 27B
Qwen2.5 14B Instruct