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Gemma 3n E2B vs Gemma 3n E4B
Comprehensive side-by-side LLM comparison
Gemma 3n E4B leads with 6.0% higher average benchmark score. Overall, Gemma 3n E4B is the stronger choice for coding tasks.
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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.
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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.
Launched on the same date
Gemma 3n E2B
2025-06-26
Gemma 3n E4B
2025-06-26
Average performance across 11 common benchmarks
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Gemma 3n E2B
Average Score:58.6%
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Gemma 3n E4B
Average Score:64.6%(+6.0%)
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E2B
2024-06-01
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 E2B
0 providers
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Gemma 3n E4B
0 providers
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Gemma 3n E2B
Avg Score:58.6%
Providers:0
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Gemma 3n E4B
Avg Score:64.6%(+6.0%)
Providers:0