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Gemma 3n E4B vs Llama 3.2 11B Instruct
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Llama 3.2 11B Instruct is available on 6 providers. Both models have their strengths depending on your specific coding needs.
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Gemma 3n E4B is a multimodal language model developed by Google. It achieves strong performance with an average score of 64.6% across 11 benchmarks. It excels particularly in ARC-E (81.6%), BoolQ (81.6%), PIQA (81.0%). 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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Meta
Llama 3.2 11B Instruct is a multimodal language model developed by Meta. It achieves strong performance with an average score of 63.6% across 11 benchmarks. It excels particularly in AI2D (91.1%), DocVQA (88.4%), ChartQA (83.4%). It supports a 256K token context window for handling large documents. The model is available through 6 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Meta's latest advancement in AI technology.
9 months newer
Llama 3.2 11B Instruct
Meta
2024-09-25
Gemma 3n E4B
2025-06-26
Performance Metrics
Context window and performance specifications
Average performance across 22 common benchmarks
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Gemma 3n E4B
Average Score:32.3%(+0.5%)
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Llama 3.2 11B Instruct
Average Score:31.8%
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Knowledge Cutoff
Training data recency comparison
Llama 3.2 11B Instruct
2023-12-31
Gemma 3n E4B
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 E4B
0 providers
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Llama 3.2 11B Instruct
6 providers
Bedrock
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Gemma 3n E4B
Avg Score:32.3%(+0.5%)
Providers:0
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Llama 3.2 11B Instruct
Avg Score:31.8%
Providers:6