Comprehensive side-by-side LLM comparison
Llama 4 Maverick leads with 9.7% higher average benchmark score. Llama 4 Scout offers 18.0M more tokens in context window than Llama 4 Maverick. Both models have similar pricing. Overall, Llama 4 Maverick is the stronger choice for coding tasks.
Meta
Llama 4 Maverick is a multimodal language model developed by Meta. It achieves strong performance with an average score of 71.8% across 13 benchmarks. It excels particularly in DocVQA (94.4%), MGSM (92.3%), ChartQA (90.0%). With a 2.0M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 7 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.
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.
Launched on the same date
Llama 4 Maverick
Meta
2025-04-05
Llama 4 Scout
Meta
2025-04-05
Cost per million tokens (USD)
Llama 4 Maverick
Llama 4 Scout
Context window and performance specifications
Average performance across 13 common benchmarks
Llama 4 Maverick
Llama 4 Scout
Available providers and their performance metrics
Llama 4 Maverick
DeepInfra
Fireworks
Groq
Lambda
Novita
Llama 4 Maverick
Llama 4 Scout
Llama 4 Maverick
Llama 4 Scout
Sambanova
Together
Llama 4 Scout
DeepInfra
Fireworks
Groq
Lambda
Novita
Together