Comprehensive side-by-side LLM comparison
Llama 4 Scout leads with 15.0% higher average benchmark score. Llama 4 Scout offers 19.9M more tokens in context window than Grok-2. Llama 4 Scout is $11.62 cheaper per million tokens. Llama 4 Scout is available on 6 providers. Overall, Llama 4 Scout is the stronger choice for coding tasks.
xAI
Grok-2 is a multimodal language model developed by xAI. It achieves strong performance with an average score of 76.5% across 8 benchmarks. It excels particularly in DocVQA (93.6%), HumanEval (88.4%), MMLU (87.5%). It supports a 136K 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. Released in 2024, it represents xAI'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.
7 months newer
Grok-2
xAI
2024-08-13
Llama 4 Scout
Meta
2025-04-05
Cost per million tokens (USD)
Grok-2
Llama 4 Scout
Context window and performance specifications
Average performance across 13 common benchmarks
Grok-2
Llama 4 Scout
Available providers and their performance metrics
Grok-2
xAI
Llama 4 Scout
Grok-2
Llama 4 Scout
Grok-2
Llama 4 Scout
DeepInfra
Fireworks
Groq
Lambda
Novita
Together