Vision models are multimodal LLMs that can process both images and text. They can describe images, answer questions about visual content, extract text from documents, and analyze charts or diagrams.
Vision Model Risks
- Hallucinating text not present in images
- Misinterpreting charts or data
- PII exposure in document images
- Prompt injection via image text
Practical example
A document assistant reads a receipt image with small text and uncertain orientation.
What to check
Score field-level correctness across representative layouts, image quality, and unreadable inputs.
Limits and tradeoffs
Visual plausibility is not proof that a model read a number or interpreted a chart correctly.
Maintained by DriftRail. AI assisted the October 2026 content and template revision. Examples are illustrative; they are not measured product benchmarks. Suggest a correction.