+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Gemma 3n E2B Instructed LiteRT (Preview) vs GLM-4.5-Air
Comprehensive side-by-side LLM comparison
Gemma 3n E2B Instructed LiteRT (Preview) leads with 9.7% higher average benchmark score. Gemma 3n E2B Instructed LiteRT (Preview) supports multimodal inputs. Overall, Gemma 3n E2B Instructed LiteRT (Preview) is the stronger choice for coding tasks.
+
+
+
+
Gemma 3n E2B Instructed LiteRT (Preview) is a multimodal language model developed by Google. The model shows competitive results across 28 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. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.
+
+
+
+
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.
2 months newer
Gemma 3n E2B Instructed LiteRT (Preview)
2025-05-20
GLM-4.5-Air
Zhipu AI
2025-07-28
Average performance across 39 common benchmarks
+
+
+
+
Gemma 3n E2B Instructed LiteRT (Preview)
Average Score:31.5%(+9.7%)
+
+
+
+
GLM-4.5-Air
Average Score:21.8%
+
+
+
+
Knowledge Cutoff
Training data recency comparison
Gemma 3n E2B Instructed LiteRT (Preview)
2024-06-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Gemma 3n E2B Instructed LiteRT (Preview)
0 providers
+
+
+
+
GLM-4.5-Air
0 providers
+
+
+
+
Gemma 3n E2B Instructed LiteRT (Preview)
Avg Score:31.5%(+9.7%)
Providers:0
+
+
+
+
GLM-4.5-Air
Avg Score:21.8%
Providers:0