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Gemma 3 1B vs Gemma 3n E2B
Comprehensive side-by-side LLM comparison
Gemma 3n E2B leads with 3.8% higher average benchmark score. Gemma 3n E2B supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Gemma 3 1B is a language model developed by Google. The model shows competitive results across 18 benchmarks. It excels particularly in IFEval (80.2%), GSM8k (62.8%), Natural2Code (56.0%). 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 1B
2025-03-12
Gemma 3n E2B
2025-06-26
Average performance across 28 common benchmarks
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Gemma 3 1B
Average Score:19.2%
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Gemma 3n E2B
Average Score:23.0%(+3.8%)
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E2B
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 1B
0 providers
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Gemma 3n E2B
0 providers
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Gemma 3 1B
Avg Score:19.2%
Providers:0
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Gemma 3n E2B
Avg Score:23.0%(+3.8%)
Providers:0