Scout handles both text and images within a mixture-of-experts architecture — 17 billion active parameters drawn from 16 experts, keeping inference costs lower than a dense model of equivalent capacity. It's open-weight and ships in safetensors format, making it straightforward to self-host and fine-tune. The trade-off is that MoE models can be more complex to deploy than dense counterparts, requiring careful memory management across experts.