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Gemma 3n E2B vs GPT-4.1 mini
Comprehensive side-by-side LLM comparison
GPT-4.1 mini leads with 19.8% higher average benchmark score. GPT-4.1 mini is available on 2 providers. Overall, GPT-4.1 mini is the stronger choice for coding tasks.
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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.
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OpenAI
GPT-4.1 mini is a multimodal language model developed by OpenAI. The model shows competitive results across 29 benchmarks. It excels particularly in CharXiv-D (88.4%), MMLU (87.5%), IFEval (84.1%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 2 API providers. 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 mini
OpenAI
2025-04-14
Gemma 3n E2B
2025-06-26
Performance Metrics
Context window and performance specifications
Average performance across 40 common benchmarks
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Gemma 3n E2B
Average Score:16.1%
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GPT-4.1 mini
Average Score:36.0%(+19.8%)
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Knowledge Cutoff
Training data recency comparison
GPT-4.1 mini
2024-05-31
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 3n E2B
0 providers
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GPT-4.1 mini
2 providers
OpenAI
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Gemma 3n E2B
Avg Score:16.1%
Providers:0
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GPT-4.1 mini
Avg Score:36.0%(+19.8%)
Providers:2