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Gemma 2 27B vs Grok-2 mini
Comprehensive side-by-side LLM comparison
Gemma 2 27B leads with 24.5% higher average benchmark score. Grok-2 mini supports multimodal inputs. Overall, Gemma 2 27B 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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xAI
Grok-2 mini is a multimodal language model developed by xAI. It achieves strong performance with an average score of 74.1% across 8 benchmarks. It excels particularly in DocVQA (93.2%), MMLU (86.2%), HumanEval (85.7%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents xAI's latest advancement in AI technology.
1 month newer
Gemma 2 27B
2024-06-27
Grok-2 mini
xAI
2024-08-13
Average performance across 21 common benchmarks
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Gemma 2 27B
Average Score:52.7%(+24.5%)
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Grok-2 mini
Average Score:28.2%
Provider Availability & Performance
Available providers and their performance metrics
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Gemma 2 27B
0 providers
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Grok-2 mini
0 providers
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Gemma 2 27B
Avg Score:52.7%(+24.5%)
Providers:0
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Grok-2 mini
Avg Score:28.2%
Providers:0