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Gemma 3n E2B Instructed LiteRT (Preview) vs GPT-4.1 nano
Comprehensive side-by-side LLM comparison
GPT-4.1 nano leads with 22.8% higher average benchmark score. Overall, GPT-4.1 nano is the stronger choice for coding tasks.
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Gemma 3N E2B IT LiteRT Preview was introduced as an experimental version optimized for LiteRT deployment, designed to push the boundaries of on-device AI. Built to demonstrate the potential of running instruction-tuned models on mobile and edge devices, it represents ongoing efforts to make AI more accessible across hardware platforms.
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OpenAI
GPT-4.1 Nano was developed as the smallest and most efficient variant in the GPT-4.1 family, designed for applications requiring minimal latency and resource usage. Built to enable AI capabilities on edge devices and resource-constrained environments, it distills GPT-4.1 capabilities into an ultra-compact form factor.
1 month newer
GPT-4.1 nano
OpenAI
2025-04-14
Gemma 3n E2B Instructed LiteRT (Preview)
2025-05-20
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Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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Gemma 3n E2B Instructed LiteRT (Preview)
Average Score:42.4%
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GPT-4.1 nano
Average Score:65.2%(+22.8%)
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Knowledge Cutoff
Training data recency comparison
GPT-4.1 nano
2024-05-31
Gemma 3n E2B 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 3n E2B Instructed LiteRT (Preview)
0 providers
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GPT-4.1 nano
1 providers
OpenAI
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Gemma 3n E2B Instructed LiteRT (Preview)
Avg Score:42.4%
Providers:0
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GPT-4.1 nano
Avg Score:65.2%(+22.8%)
Providers:1