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Gemma 2 27B vs Gemma 3 12B
Comprehensive side-by-side LLM comparison
Gemma 3 12B leads with 13.6% higher average benchmark score. Gemma 3 12B supports multimodal inputs. Overall, Gemma 3 12B is the stronger choice for coding tasks.
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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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Gemma 3 12B is a multimodal language model developed by Google. It achieves strong performance with an average score of 62.5% across 26 benchmarks. It excels particularly in GSM8k (94.4%), IFEval (88.9%), DocVQA (87.1%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. 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.
8 months newer
Gemma 2 27B
2024-06-27
Gemma 3 12B
2025-03-12
Performance Metrics
Context window and performance specifications
Average performance across 38 common benchmarks
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Gemma 2 27B
Average Score:29.1%
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Gemma 3 12B
Average Score:42.7%(+13.6%)
Provider Availability & Performance
Available providers and their performance metrics
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Gemma 2 27B
0 providers
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Gemma 3 12B
1 providers
DeepInfra
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Gemma 2 27B
Avg Score:29.1%
Providers:0
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Gemma 3 12B
Avg Score:42.7%(+13.6%)
Providers:1