DeepSeek V3.1

DeepSeek V3.1 is an advanced large language model featuring a Mixture-of-Experts (MoE) architecture with 671 billion total parameters, of which 37 billion are activated per token. This architectural design enables exceptional performance while maintaining computational efficiency.

The model has been trained on diverse multilingual data and excels particularly in mathematical reasoning, code generation, and complex analytical tasks. With its 128,000 token context window, DeepSeek V3.1 can handle extensive documents and maintain coherent long-form conversations.