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Gemma 3n E4B Instructed vs GLM-4.5V
Comprehensive side-by-side LLM comparison
GLM-4.5V offers 132.6K more tokens in context window than Gemma 3n E4B Instructed. GLM-4.5V is $57.20 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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Gemma 3n E4B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (75.0%), MGSM (67.0%), MMLU (64.9%). The model is available through 1 API provider. 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 Instructed
2025-06-26
GLM-4.5V
Zhipu AI
2025-08-11
Pricing Comparison
Cost per million tokens (USD)
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Gemma 3n E4B Instructed
Input:$20.00
Output:$40.00
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GLM-4.5V
Input:$0.60
Output:$2.20($57.20 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 18 common benchmarks
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Gemma 3n E4B Instructed
Average Score:42.0%(+42.0%)
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GLM-4.5V
Average Score:0.0%
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E4B Instructed
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 Instructed
1 providers
Together
Throughput: 42.09 tok/s
Latency: 0.43ms
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GLM-4.5V
2 providers
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Gemma 3n E4B Instructed
Avg Score:42.0%(+42.0%)
Providers:1
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GLM-4.5V
Avg Score:0.0%
Providers:2