Vision Language Models (Better, faster, stronger)
This blog post surveys recent developments in Vision Language Models (VLMs) over the past year, covering new model trends such as any-to-any models, reasoning models, small yet capable models, and specialized capabilities. It highlights specific models including Qwen 2.5 Omni, MiniCPM-o 2.6, Janus-Pro-7B, QVQ-72B-preview, Kimi-VL-A3B-Thinking, SmolVLM, SmolVLM2, and gemma3-4b-it, and discusses new benchmarks like MMT-Bench and MMMU-Pro.
