Comprehensive side-by-side LLM comparison
Llama 4 Scout leads with 2.1% higher average benchmark score. Llama 4 Scout offers 19.9M more tokens in context window than Gemma 3n E4B Instructed. Llama 4 Scout is $59.62 cheaper per million tokens. Llama 4 Scout is available on 6 providers. Both models have their strengths depending on your specific coding needs.
Gemma 3n E4B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (75.0%), MGSM (67.0%), MMLU (64.9%). The model is available through 1 API provider. 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.
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.
2 months newer
Llama 4 Scout
Meta
2025-04-05
Gemma 3n E4B Instructed
2025-06-26
Cost per million tokens (USD)
Gemma 3n E4B Instructed
Llama 4 Scout
Context window and performance specifications
Average performance across 24 common benchmarks
Gemma 3n E4B Instructed
Llama 4 Scout
Gemma 3n E4B Instructed
2024-06-01
Available providers and their performance metrics
Gemma 3n E4B Instructed
Together
Llama 4 Scout
Gemma 3n E4B Instructed
Llama 4 Scout
Gemma 3n E4B Instructed
Llama 4 Scout
DeepInfra
Fireworks
Groq
Lambda
Novita
Together