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Gemma 3n E2B Instructed vs GLM-4.6
Comprehensive side-by-side LLM comparison
Gemma 3n E2B Instructed leads with 7.8% higher average benchmark score. GLM-4.6 is available on 2 providers. Overall, Gemma 3n E2B Instructed is the stronger choice for coding tasks.
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Gemma 3n E2B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (66.5%), MMLU (60.1%), Global-MMLU-Lite (59.0%). 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-4.6 is a multimodal language model developed by Zhipu AI. It achieves strong performance with an average score of 61.2% across 7 benchmarks. It excels particularly in AIME 2025 (93.9%), LiveCodeBench v6 (82.8%), GPQA (81.0%). 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.
3 months newer
Gemma 3n E2B Instructed
2025-06-26
GLM-4.6
Zhipu AI
2025-09-30
Performance Metrics
Context window and performance specifications
Average performance across 23 common benchmarks
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Gemma 3n E2B Instructed
Average Score:26.4%(+7.8%)
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GLM-4.6
Average Score:18.6%
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E2B 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 E2B Instructed
0 providers
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GLM-4.6
2 providers
DeepInfra
Throughput: 85 tok/s
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Gemma 3n E2B Instructed
Avg Score:26.4%(+7.8%)
Providers:0
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GLM-4.6
Avg Score:18.6%
Providers:2