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Gemma 2 27B vs Mistral Small 3.1 24B Base
Comprehensive side-by-side LLM comparison
Gemma 2 27B leads with 41.7% higher average benchmark score. Mistral Small 3.1 24B Base 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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Mistral AI
Mistral Small 3.1 24B Base is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 62.9% across 5 benchmarks. It excels particularly in MMLU (81.0%), TriviaQA (80.5%), MMMU (59.3%). It supports a 256K 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 Mistral AI's latest advancement in AI technology.
8 months newer
Gemma 2 27B
2024-06-27
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
Performance Metrics
Context window and performance specifications
Average performance across 19 common benchmarks
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Gemma 2 27B
Average Score:58.2%(+41.7%)
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Mistral Small 3.1 24B Base
Average Score:16.5%
Provider Availability & Performance
Available providers and their performance metrics
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Gemma 2 27B
0 providers
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Mistral Small 3.1 24B Base
1 providers
Mistral AI
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Gemma 2 27B
Avg Score:58.2%(+41.7%)
Providers:0
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Mistral Small 3.1 24B Base
Avg Score:16.5%
Providers:1