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Model Comparison

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

Google

Gemma 3n E2B

Google

Gemma 3n E2B is a multimodal language model developed by Google. The model shows competitive results across 11 benchmarks. Notable strengths include PIQA (78.9%), BoolQ (76.4%), ARC-E (75.8%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.

GLM-4.5-Air

Zhipu AI

GLM-4.5-Air is a language model developed by Zhipu AI. It achieves strong performance with an average score of 60.8% across 14 benchmarks. It excels particularly in MATH-500 (98.1%), AIME 2024 (89.4%), MMLU-Pro (81.4%). 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 3n E2B

Google

2025-06-26

GLM-4.5-Air

Zhipu AI

2025-07-28

1 month newer

Performance comparison across key benchmark categories

Google

Gemma 3n E2B

general
54.1%
reasoning
+28.9%
66.6%

GLM-4.5-Air

general
+21.9%
76.0%
reasoning
37.7%
Knowledge Cutoff
Training data recency comparison

Gemma 3n E2B

2024-06-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemma 3n E2B

0 providers

GLM-4.5-Air

0 providers
Google

Gemma 3n E2B

Avg Score:0.0%
Providers:0

GLM-4.5-Air

Avg Score:0.0%
Providers:0