Comprehensive side-by-side LLM comparison
Gemma 2 27B leads with 2.1% higher average benchmark score. Mistral Small 3.2 24B Instruct supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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.
Mistral AI
Mistral Small 3.2 24B Instruct is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 69.6% across 15 benchmarks. It excels particularly in DocVQA (94.9%), AI2D (92.9%), HumanEval Plus (92.9%). 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.
11 months newer
Gemma 2 27B
2024-06-27
Mistral Small 3.2 24B Instruct
Mistral AI
2025-06-20
Average performance across 29 common benchmarks
Gemma 2 27B
Mistral Small 3.2 24B Instruct
Mistral Small 3.2 24B Instruct
2023-10-01
Available providers and their performance metrics
Gemma 2 27B
Mistral Small 3.2 24B Instruct
Gemma 2 27B
Mistral Small 3.2 24B Instruct