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Gemma 3n E4B vs Llama 3.2 90B Instruct
Comprehensive side-by-side LLM comparison
Llama 3.2 90B Instruct leads with 9.0% higher average benchmark score. Llama 3.2 90B Instruct is available on 5 providers. Overall, Llama 3.2 90B Instruct is the stronger choice for coding tasks.
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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 90B Instruct is a multimodal language model developed by Meta. It achieves strong performance with an average score of 71.3% across 13 benchmarks. It excels particularly in AI2D (92.3%), DocVQA (90.1%), MGSM (86.9%). It supports a 256K token context window for handling large documents. The model is available through 5 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Meta's latest advancement in AI technology.
9 months newer
Llama 3.2 90B Instruct
Meta
2024-09-25
Gemma 3n E4B
2025-06-26
Performance Metrics
Context window and performance specifications
Average performance across 24 common benchmarks
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Gemma 3n E4B
Average Score:29.6%
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Llama 3.2 90B Instruct
Average Score:38.6%(+9.0%)
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Knowledge Cutoff
Training data recency comparison
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 90B Instruct
5 providers
Bedrock
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Gemma 3n E4B
Avg Score:29.6%
Providers:0
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Llama 3.2 90B Instruct
Avg Score:38.6%(+9.0%)
Providers:5