Model Comparison

Claude 3 Sonnet

Anthropic

Claude 3 Sonnet is a multimodal language model developed by Anthropic. It achieves strong performance with an average score of 73.8% across 11 benchmarks. It excels particularly in ARC-C (93.2%), GSM8k (92.3%), HellaSwag (89.0%). The model shows particular specialization in reasoning tasks with an average performance of 91.1%. It supports a 400K token context window for handling large documents. The model is available through 3 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Anthropic's latest advancement in AI technology.

Llama 4 Scout

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%). The model shows particular specialization in vision tasks with an average performance of 81.9%. 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.