Llama 4 Scout vs Qwen2.5 VL 7B Instruct

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%). 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.

Qwen2.5 VL 7B Instruct

Alibaba Cloud / Qwen Team

Qwen2.5 VL 7B Instruct is a multimodal language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 64.5% across 32 benchmarks. It excels particularly in DocVQA (95.7%), Android Control Low_EM (91.4%), MobileMiniWob++_SR (91.4%). 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 Alibaba Cloud / Qwen Team's latest advancement in AI technology.