Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

Gemma 2 27B
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%). The model shows particular specialization in reasoning tasks with an average performance of 82.5%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Google's latest advancement in AI technology.
GLM-4.5V
Zhipu AI
GLM-4.5V is a multimodal language model developed by Zhipu AI. It supports a 197K token context window for handling large documents. The model is available through 2 API providers. 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 Zhipu AI's latest advancement in AI technology.

Gemma 2 27B
2024-06-27
GLM-4.5V
Zhipu AI
2025-08-11
1 year newer
Performance Metrics
Context window and performance specifications

Gemma 2 27B
GLM-4.5V
Average performance across 16 common benchmarks

Gemma 2 27B
GLM-4.5V
Provider Availability & Performance
Available providers and their performance metrics

Gemma 2 27B
GLM-4.5V
Novita
ZeroEval

Gemma 2 27B
GLM-4.5V