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Gemma 2 27B vs Granite 3.3 8B Instruct
Comprehensive side-by-side LLM comparison
Gemma 2 27B leads with 4.8% higher average benchmark score. Granite 3.3 8B Instruct supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Gemma 2 27B is a language model developed by Google. It achieves strong performance with an average score of 69.1% across 16 benchmarks. It excels particularly in ARC-E (88.6%), HellaSwag (86.4%), BoolQ (84.8%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Google's latest advancement in AI technology.
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IBM
Granite 3.3 8B Instruct is a multimodal language model developed by IBM. It achieves strong performance with an average score of 69.8% across 14 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.
9 months newer
Gemma 2 27B
2024-06-27
Granite 3.3 8B Instruct
IBM
2025-04-16
Average performance across 27 common benchmarks
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Gemma 2 27B
Average Score:41.0%(+4.8%)
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Granite 3.3 8B Instruct
Average Score:36.2%
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Knowledge Cutoff
Training data recency comparison
Granite 3.3 8B Instruct
2024-04-01
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 2 27B
0 providers
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Granite 3.3 8B Instruct
0 providers
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Gemma 2 27B
Avg Score:41.0%(+4.8%)
Providers:0
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Granite 3.3 8B Instruct
Avg Score:36.2%
Providers:0