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Gemma 3 12B vs Gemma 3n E4B
Comprehensive side-by-side LLM comparison
Gemma 3 12B leads with 25.4% higher average benchmark score. Overall, Gemma 3 12B is the stronger choice for coding tasks.
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Gemma 3 12B is a multimodal language model developed by Google. It achieves strong performance with an average score of 62.5% across 26 benchmarks. It excels particularly in GSM8k (94.4%), IFEval (88.9%), DocVQA (87.1%). 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 12B
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 12B
Average Score:45.1%(+25.4%)
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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
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 12B
1 providers
DeepInfra
Throughput: 33 tok/s
Latency: 0.2ms
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Gemma 3n E4B
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Gemma 3 12B
Avg Score:45.1%(+25.4%)
Providers:1
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Gemma 3n E4B
Avg Score:19.7%
Providers:0