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Gemma 2 27B vs Gemma 3n E4B Instructed LiteRT Preview
Comprehensive side-by-side LLM comparison
Gemma 2 27B leads with 4.9% higher average benchmark score. Gemma 3n E4B Instructed LiteRT Preview supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Gemma 2 27B was developed as an open-source language model with 27 billion parameters, designed to provide researchers and developers with a capable, instruction-tuned model for experimentation and deployment. Built to democratize access to advanced language understanding, it combines strong performance with the flexibility of open-source licensing.
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Gemma 3N E4B IT LiteRT Preview was introduced as an experimental LiteRT-optimized version, designed to showcase advanced on-device AI capabilities. Built to demonstrate the feasibility of running capable instruction-tuned models on mobile platforms, it represents the cutting edge of edge AI development.
10 months newer
Gemma 2 27B
2024-06-27
Gemma 3n E4B Instructed LiteRT Preview
2025-05-20
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Average performance across 12 common benchmarks
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Gemma 2 27B
Average Score:71.6%(+4.9%)
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Gemma 3n E4B Instructed LiteRT Preview
Average Score:66.7%
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E4B Instructed LiteRT Preview
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 2 27B
0 providers
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Gemma 3n E4B Instructed LiteRT Preview
0 providers
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Gemma 2 27B
Avg Score:71.6%(+4.9%)
Providers:0
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Gemma 3n E4B Instructed LiteRT Preview
Avg Score:66.7%
Providers:0