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Gemma 3n E2B Instructed LiteRT (Preview) vs Granite 3.3 8B Base
Comprehensive side-by-side LLM comparison
Granite 3.3 8B Base leads with 1.4% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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Gemma 3n E2B Instructed LiteRT (Preview) is a multimodal language model developed by Google. The model shows competitive results across 28 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. It's licensed for commercial use, making it suitable for enterprise applications. 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.
1 month newer
Granite 3.3 8B Base
IBM
2025-04-16
Gemma 3n E2B Instructed LiteRT (Preview)
2025-05-20
Average performance across 40 common benchmarks
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Gemma 3n E2B Instructed LiteRT (Preview)
Average Score:30.7%
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Granite 3.3 8B Base
Average Score:32.1%(+1.4%)
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Knowledge Cutoff
Training data recency comparison
Granite 3.3 8B Base
2024-04-01
Gemma 3n E2B Instructed LiteRT (Preview)
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 LiteRT (Preview)
0 providers
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Granite 3.3 8B Base
0 providers
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Gemma 3n E2B Instructed LiteRT (Preview)
Avg Score:30.7%
Providers:0
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Granite 3.3 8B Base
Avg Score:32.1%(+1.4%)
Providers:0