LongCat

Features of LongCat

• 560-billion-parameter MoE architecture with an average of 2.7 billion active parameters and inference speeds up to 100 tokens/s
• Supports text generation, code completion, image creation, and multi-turn dialogue in a unified workflow
• Offers a web interface, APIs, and open-source weights for local deployment and secondary development
• Ranks first in evaluations such as VitaBench and τ²-Bench, delivering SOTA performance on complex agent tasks

Use Cases of LongCat

• Developers can quickly generate code snippets, debug scripts, and receive optimization suggestions
• Content teams can produce marketing copy, video scripts, and images at scale to shorten creative cycles
• Enterprises can build intelligent customer service and knowledge Q&A systems to reduce human agent costs
• Researchers can fine-tune the open-source weights to explore MoE training and inference optimization

FAQ about LongCat