LongCat Chat

LongCat Chat is a powerful and efficient AI language model that uses an innovative Mixture-of-Experts (MoE) architecture to deliver top performance with remarkable speed and energy efficiency. With 560 billion total parameters, it dynamically activates only about 27 billion parameters based on context, enabling it to provide accurate and fast responses while managing computational resources wisely. It supports very long context inputs—up to 128,000 tokens—making it capable of understanding and working on large documents or complex instructions smoothly.

Key Features:

• Dynamic Mixture-of-Experts (MoE) architecture activating 18.6B to 31.3B parameters for efficient, high-speed performance.
• Supports long context inputs up to 128,000 tokens for handling extensive documents or conversations.
• Achieves inference speeds of over 100 tokens per second, ensuring quick responses with low operational costs.
• Autonomous agent capabilities to assist with tasks like coding, document management, meetings, and customer service.

Use Cases:

• Complex reasoning and agent-based dialogues requiring detailed and accurate task completion.
• Enterprise applications such as question answering, coding assistance, and content generation.
• Customer service support, marketing content creation, and sales automation to improve efficiency and accuracy.