Comprehensive side-by-side LLM comparison
Gemma 3 4B leads with 18.4% higher average benchmark score. Llama 4 Scout offers 19.7M more tokens in context window than Gemma 3 4B. Both models have similar pricing. Llama 4 Scout is available on 6 providers. Overall, Gemma 3 4B is the stronger choice for coding tasks.
Gemma 3 4B is a multimodal language model developed by Google. The model shows competitive results across 26 benchmarks. It excels particularly in IFEval (90.2%), GSM8k (89.2%), DocVQA (75.8%). It supports a 262K 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 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.
24 days newer
Gemma 3 4B
2025-03-12
Llama 4 Scout
Meta
2025-04-05
Cost per million tokens (USD)
Gemma 3 4B
Llama 4 Scout
Context window and performance specifications
Average performance across 31 common benchmarks
Gemma 3 4B
Llama 4 Scout
Gemma 3 4B
2024-08-01
Available providers and their performance metrics
Gemma 3 4B
DeepInfra
Llama 4 Scout
Gemma 3 4B
Llama 4 Scout
Gemma 3 4B
Llama 4 Scout
DeepInfra
Fireworks
Groq
Lambda
Novita
Together