Qianfan-VL-8B

Qianfan-VL-8B combines a compact language core with a strong vision encoder so it can “look, read, and reason” in one pass. It handles dense documents, tables, diagrams, dashboards, and natural images, keeping small text legible and layouts intact while following precise instructions. Multi-image prompts remain coherent across pages or UI states, and answers can be formatted as schema-true JSON for smooth automation. The model supports long contexts for multi-page PDFs, streams tokens for responsive UX, and uses native function calling so agents can crop regions, fetch metadata, or query retrieval backends during a response. Running on Baidu’s Qianfan platform, it offers predictable deployment with guardrails, observability, and private networking. Teams choose the 8B tier when they want strong multimodal accuracy with practical serving costs for document automation, chart and UI understanding, multimodal RAG, and developer assistants that reason directly from images.