Comprehensive side-by-side LLM comparison
Gemma 3n E4B Instructed LiteRT Preview leads with 17.7% higher average benchmark score. Llama 4 Scout is available on 6 providers. Overall, Gemma 3n E4B Instructed LiteRT Preview is the stronger choice for coding tasks.
Gemma 3n E4B Instructed LiteRT Preview is a multimodal language model developed by Google. The model shows competitive results across 28 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. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.
Meta
Llama 4 Scout is a multimodal language model developed by Meta. It achieves strong performance with an average score of 67.3% across 12 benchmarks. It excels particularly in DocVQA (94.4%), MGSM (90.6%), ChartQA (88.8%). With a 20.0M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 6 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Meta's latest advancement in AI technology.
1 month newer
Llama 4 Scout
Meta
2025-04-05
Gemma 3n E4B Instructed LiteRT Preview
2025-05-20
Context window and performance specifications
Average performance across 34 common benchmarks
Gemma 3n E4B Instructed LiteRT Preview
Llama 4 Scout
Gemma 3n E4B Instructed LiteRT Preview
2024-06-01
Available providers and their performance metrics
Gemma 3n E4B Instructed LiteRT Preview
Llama 4 Scout
DeepInfra
Gemma 3n E4B Instructed LiteRT Preview
Llama 4 Scout
Gemma 3n E4B Instructed LiteRT Preview
Llama 4 Scout
Fireworks
Groq
Lambda
Novita
Together