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Gemma 3n E4B vs GLM-4.5V
Comprehensive side-by-side LLM comparison
GLM-4.5V is available on 2 providers. Both models have their strengths depending on your specific coding needs.
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Gemma 3n E4B is a multimodal language model developed by Google. It achieves strong performance with an average score of 64.6% across 11 benchmarks. It excels particularly in ARC-E (81.6%), BoolQ (81.6%), PIQA (81.0%). 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.
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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.
1 month newer
Gemma 3n E4B
2025-06-26
GLM-4.5V
Zhipu AI
2025-08-11
Performance Metrics
Context window and performance specifications
Average performance across 11 common benchmarks
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Gemma 3n E4B
Average Score:64.6%(+64.6%)
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GLM-4.5V
Average Score:0.0%
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E4B
2024-06-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Gemma 3n E4B
0 providers
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GLM-4.5V
2 providers
Novita
ZeroEval
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Gemma 3n E4B
Avg Score:64.6%(+64.6%)
Providers:0
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GLM-4.5V
Avg Score:0.0%
Providers:2