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Gemma 3 4B vs Gemma 3n E4B Instructed LiteRT Preview
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Both models have their strengths depending on your specific coding needs.
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Gemma 3 4B was developed as a compact yet capable open-source model, designed to strike a balance between performance and resource efficiency. Built with 4 billion parameters and instruction tuning, it provides a practical option for applications requiring moderate capability with manageable computational costs.
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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.
2 months newer
Gemma 3 4B
2025-03-12
Gemma 3n E4B Instructed LiteRT Preview
2025-05-20
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Performance Metrics
Context window and performance specifications
Average performance across 10 common benchmarks
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Gemma 3 4B
Average Score:44.3%(+0.9%)
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Gemma 3n E4B Instructed LiteRT Preview
Average Score:43.3%
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E4B Instructed LiteRT Preview
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 Instructed LiteRT Preview
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Gemma 3 4B
Avg Score:44.3%(+0.9%)
Providers:1
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Gemma 3n E4B Instructed LiteRT Preview
Avg Score:43.3%
Providers:0