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Gemma 2 27B vs Magistral Small 2506
Comprehensive side-by-side LLM comparison
Gemma 2 27B leads with 42.6% higher average benchmark score. 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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Mistral AI
Magistral Small 2506 is a language model developed by Mistral AI. It achieves strong performance with an average score of 63.2% across 4 benchmarks. Notable strengths include AIME 2024 (70.7%), GPQA (68.2%), AIME 2025 (62.8%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Mistral AI's latest advancement in AI technology.
11 months newer
Gemma 2 27B
2024-06-27
Magistral Small 2506
Mistral AI
2025-06-10
Average performance across 20 common benchmarks
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Gemma 2 27B
Average Score:55.3%(+42.6%)
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Magistral Small 2506
Average Score:12.6%
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Knowledge Cutoff
Training data recency comparison
Magistral Small 2506
2025-06-01
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 2 27B
0 providers
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Magistral Small 2506
0 providers
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Gemma 2 27B
Avg Score:55.3%(+42.6%)
Providers:0
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Magistral Small 2506
Avg Score:12.6%
Providers:0