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Gemma 3n E4B vs IBM Granite 4.0 Tiny Preview
Comprehensive side-by-side LLM comparison
Gemma 3n E4B leads with 1.2% higher average benchmark score. Gemma 3n E4B supports multimodal inputs. 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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IBM
IBM Granite 4.0 Tiny Preview is a language model developed by IBM. The model shows competitive results across 12 benchmarks. It excels particularly in AttaQ (86.1%), HumanEval (82.4%), HumanEval+ (78.3%). 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
IBM Granite 4.0 Tiny Preview
IBM
2025-05-02
Gemma 3n E4B
2025-06-26
Average performance across 21 common benchmarks
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Gemma 3n E4B
Average Score:33.9%(+1.2%)
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IBM Granite 4.0 Tiny Preview
Average Score:32.6%
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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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IBM Granite 4.0 Tiny Preview
0 providers
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Gemma 3n E4B
Avg Score:33.9%(+1.2%)
Providers:0
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IBM Granite 4.0 Tiny Preview
Avg Score:32.6%
Providers:0