Moondream 3.1 handles images with only 2B active parameters
Moondream 3.1 is a that works with both images and text. It uses a design with 9 billion in total but activates only 2 billion for each task. Its built-in skills can answer image queries, detect objects, identify points in an image, and create captions.
Every skill returns , making the results easier for software or AI agents to use in later steps. Its main claim is strong visual and detection while remaining fast and inexpensive to deploy.
Key points
- The model has 9 billion total but activates 2 billion per task.
- Built-in skills cover image queries, object detection, point identification, and captions.
- can connect directly to later steps in an AI agent.
- The model is presented as fast and inexpensive to deploy.
- Exact cost and claims still need independent testing.