Comprehensive side-by-side LLM comparison
Gemma 2 27B leads with 7.0% higher average benchmark score. GLM-4.5 is available on 3 providers. 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.
Zhipu AI
GLM-4.5 is a language model developed by Zhipu AI. It achieves strong performance with an average score of 64.0% across 14 benchmarks. It excels particularly in MATH-500 (98.2%), AIME 2024 (91.0%), MMLU-Pro (84.6%). It supports a 262K token context window for handling large documents. The model is available through 3 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Zhipu AI's latest advancement in AI technology.
1 year newer
Gemma 2 27B
2024-06-27
GLM-4.5
Zhipu AI
2025-07-28
Context window and performance specifications
Average performance across 30 common benchmarks
Gemma 2 27B
GLM-4.5
Available providers and their performance metrics
Gemma 2 27B
GLM-4.5
DeepInfra
Novita
Gemma 2 27B
GLM-4.5
Gemma 2 27B
GLM-4.5
ZeroEval