Comprehensive side-by-side LLM comparison
Gemma 2 27B leads with 7.2% higher average benchmark score. Overall, Gemma 2 27B 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 7B Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 65.6% across 14 benchmarks. It excels particularly in GSM8k (91.6%), MT-Bench (87.5%), HumanEval (84.8%). It supports a 139K token context window for handling large documents. The model is available through 1 API provider. 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 7B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Context window and performance specifications
Average performance across 26 common benchmarks
Gemma 2 27B
Qwen2.5 7B Instruct
Available providers and their performance metrics
Gemma 2 27B
Qwen2.5 7B Instruct
Together
Gemma 2 27B
Qwen2.5 7B Instruct
Gemma 2 27B
Qwen2.5 7B Instruct