Model card
DeepSeek-V3.1 is a high-density hybrid reasoning model designed for developers who need to toggle between rapid inference and deep logical processing. Built on a massive 671B parameter architecture with only 37B active parameters per token, it offers a highly efficient MoE (Mixture-of-Experts) structure that balances throughput with sophisticated reasoning capabilities. The standout feature is its dual-mode execution: you can trigger a 'thinking' mode for complex algorithmic tasks and multi-step logic, or use standard non-thinking modes for low-latency text generation and chat applications. With a 164k context window, it is well-suited for large-scale codebase analysis, long-document summarization, and complex RAG pipelines. For integration, the model provides a predictable API surface that allows you to control reasoning depth via specific prompt templates, making it a versatile alternative to closed-source frontier models when optimizing for both cost and intelligence.
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