Open Mixture of Experts LLM (230B, 10B active) for reasoning, coding, and tool-use/agent workflows
DeepSeek-V3.1: hybrid inference LLM with Think/Non-Think modes, stronger agents, 128K context, strict function calling.
DeepSeek V3.1 Instruct is a hybrid AI model with fast reasoning, 128K context, and strong tool use.
High efficiency model with leading accuracy for reasoning, tool calling, chat, and instruction following.
Built for agentic workflows, this model excels in coding, instruction following, and function calling
State-of-the-art open model for reasoning, code, math, and tool calling - suitable for edge agents
Superior inference efficiency with highest accuracy for scientific and complex math reasoning, coding, tool calling, and instruction following.
High efficiency model with leading accuracy for reasoning, tool calling, chat, and instruction following.
Leading reasoning and agentic AI accuracy model for PC and edge.
Advanced LLM for reasoning, math, general knowledge, and function calling
Optimized SLM for on-device inference and fine-tuned for roleplay, RAG and function calling
Visual Changenet detects pixel-level change maps between two images and outputs a semantic change segmentation mask
EfficientDet-based object detection network to detect 100 specific retail objects from an input video.
