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Gemma 3n E2B Instructed vs GPT-4.1 nano
Comprehensive side-by-side LLM comparison
GPT-4.1 nano leads with 6.0% higher average benchmark score. Overall, GPT-4.1 nano is the stronger choice for coding tasks.
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Gemma 3n E2B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (66.5%), MMLU (60.1%), Global-MMLU-Lite (59.0%). 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.
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OpenAI
GPT-4.1 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 25 benchmarks. It excels particularly in MMLU (80.1%), IFEval (74.5%), CharXiv-D (73.9%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.
2 months newer
GPT-4.1 nano
OpenAI
2025-04-14
Gemma 3n E2B Instructed
2025-06-26
Performance Metrics
Context window and performance specifications
Average performance across 41 common benchmarks
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Gemma 3n E2B Instructed
Average Score:14.8%
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GPT-4.1 nano
Average Score:20.8%(+6.0%)
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Knowledge Cutoff
Training data recency comparison
GPT-4.1 nano
2024-05-31
Gemma 3n E2B Instructed
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
0 providers
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GPT-4.1 nano
1 providers
OpenAI
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Gemma 3n E2B Instructed
Avg Score:14.8%
Providers:0
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GPT-4.1 nano
Avg Score:20.8%(+6.0%)
Providers:1