Comprehensive side-by-side LLM comparison
Gemma 3n E2B Instructed LiteRT (Preview) leads with 4.6% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
Gemma 3n E2B Instructed LiteRT (Preview) is a multimodal language model developed by Google. The model shows competitive results across 28 benchmarks. Notable strengths include PIQA (78.9%), BoolQ (76.4%), ARC-E (75.8%). 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.
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.
1 month newer
Gemma 3n E2B Instructed LiteRT (Preview)
2025-05-20
Mistral Small 3.2 24B Instruct
Mistral AI
2025-06-20
Average performance across 40 common benchmarks
Gemma 3n E2B Instructed LiteRT (Preview)
Mistral Small 3.2 24B Instruct
Mistral Small 3.2 24B Instruct
2023-10-01
Gemma 3n E2B Instructed LiteRT (Preview)
2024-06-01
Available providers and their performance metrics
Gemma 3n E2B Instructed LiteRT (Preview)
Mistral Small 3.2 24B Instruct
Gemma 3n E2B Instructed LiteRT (Preview)
Mistral Small 3.2 24B Instruct