Which Vision Language Models Should You Use for Your Apps

Vision language models (VLMs) are advancing rapidly, capable of processing text and images for tasks like image captioning and visual question answering. Popular VLMs include GPT-4, Llama 4, and Gemini 2.5 Flash, each with unique capabilities. Evaluation methods range from task-specific metrics to comprehensive benchmarks like VHELM. Training datasets such as LAION-5B and PMD provide diverse image-text pairs. While VLMs show promise, challenges like bias and hallucinations remain. As the field evolves, models are expected to tackle increasingly complex tasks.