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Gemma 3n E2B vs Granite 3.3 8B Base
Comprehensive side-by-side LLM comparison
Granite 3.3 8B Base leads with 25.6% higher average benchmark score. Overall, Granite 3.3 8B Base 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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IBM
Granite 3.3 8B Base is a multimodal language model developed by IBM. It achieves strong performance with an average score of 64.3% across 20 benchmarks. It excels particularly in HumanEval (89.7%), AttaQ (88.5%), HumanEval+ (86.1%). 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 2025, it represents IBM's latest advancement in AI technology.
2 months newer
Granite 3.3 8B Base
IBM
2025-04-16
Gemma 3n E2B
2025-06-26
Average performance across 25 common benchmarks
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Gemma 3n E2B
Average Score:25.8%
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Granite 3.3 8B Base
Average Score:51.4%(+25.6%)
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Knowledge Cutoff
Training data recency comparison
Granite 3.3 8B Base
2024-04-01
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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Granite 3.3 8B Base
0 providers
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Gemma 3n E2B
Avg Score:25.8%
Providers:0
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Granite 3.3 8B Base
Avg Score:51.4%(+25.6%)
Providers:0