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Gemma 3 4B vs Gemma 3n E4B
Comprehensive side-by-side LLM comparison
Gemma 3 4B leads with 18.5% higher average benchmark score. Overall, Gemma 3 4B is the stronger choice for coding tasks.
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Gemma 3 4B is a multimodal language model developed by Google. The model shows competitive results across 26 benchmarks. It excels particularly in IFEval (90.2%), GSM8k (89.2%), DocVQA (75.8%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. 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.
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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.
3 months newer
Gemma 3 4B
2025-03-12
Gemma 3n E4B
2025-06-26
Performance Metrics
Context window and performance specifications
Average performance across 36 common benchmarks
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Gemma 3 4B
Average Score:38.3%(+18.5%)
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Gemma 3n E4B
Average Score:19.7%
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E4B
2024-06-01
Gemma 3 4B
2024-08-01
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 3 4B
1 providers
DeepInfra
Throughput: 33 tok/s
Latency: 0.2ms
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Gemma 3n E4B
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Gemma 3 4B
Avg Score:38.3%(+18.5%)
Providers:1
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Gemma 3n E4B
Avg Score:19.7%
Providers:0