Comprehensive side-by-side LLM comparison
Gemma 3n E4B leads with 26.4% higher average benchmark score. Overall, Gemma 3n E4B is the stronger choice for coding tasks.
Gemma 3n E4B is a multimodal language model developed by Google. It achieves strong performance with an average score of 64.6% across 11 benchmarks. It excels particularly in ARC-E (81.6%), BoolQ (81.6%), PIQA (81.0%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.
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.
3 months newer
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
Gemma 3n E4B
2025-06-26
Context window and performance specifications
Average performance across 15 common benchmarks
Gemma 3n E4B
Mistral Small 3.1 24B Base
Gemma 3n E4B
2024-06-01
Available providers and their performance metrics
Gemma 3n E4B
Mistral Small 3.1 24B Base
Mistral AI
Gemma 3n E4B
Mistral Small 3.1 24B Base
Gemma 3n E4B
Mistral Small 3.1 24B Base