Model Comparison

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

Google

Gemma 2 9B

Google

Gemma 2 9B is a language model developed by Google. It achieves strong performance with an average score of 64.6% across 16 benchmarks. It excels particularly in ARC-E (88.0%), BoolQ (84.2%), HellaSwag (81.9%). The model shows particular specialization in reasoning tasks with an average performance of 79.7%. 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.

Google

Gemma 2 9B

Google

2024-06-27

GLM-4.5V

Zhipu AI

2025-08-11

1 year newer

Performance Metrics

Context window and performance specifications

Google

Gemma 2 9B

Max Context:-
Parameters:9.2B

GLM-4.5V

Larger context
Max Context:196.6K
Parameters:108.0B

Average performance across 16 common benchmarks

Google

Gemma 2 9B

+64.6%
Average Score:64.6%

GLM-4.5V

Average Score:0.0%

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemma 2 9B

0 providers

GLM-4.5V

2 providers

Novita

ZeroEval

Throughput: 85 tok/s
Latency: 0.7ms
Google

Gemma 2 9B

+64.6%
Avg Score:64.6%
Providers:0

GLM-4.5V

Avg Score:0.0%
Providers:2