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Gemma 3 4B vs Gemma 3n E2B
Comprehensive side-by-side LLM comparison
Gemma 3 4B leads with 20.3% 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 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.
3 months newer
Gemma 3 4B
2025-03-12
Gemma 3n E2B
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%(+20.3%)
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Gemma 3n E2B
Average Score:17.9%
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E2B
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 E2B
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Gemma 3 4B
Avg Score:38.3%(+20.3%)
Providers:1
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Gemma 3n E2B
Avg Score:17.9%
Providers:0