DeepSeek 3.1 marks a significant step forward in the field of locally executable AI models. Built on a Mixture-of-Experts architecture, it dynamically activates about 37 billion parameters out of a total of 671 billion, ensuring high computational efficiency. With support for up to 128,000 tokens, it is designed to handle complex texts, code, and extended conversations.

A key feature is the ability to switch between two operation modes:

• Think, optimized for multi-step reasoning and deep analysis.
• Non-Think, designed for faster, lightweight responses.

This flexibility allows users to balance speed and depth according to their needs. Compared to previous versions, DeepSeek 3.1 reduces hallucinations by 38%, delivering higher reliability and more consistent reasoning in areas such as mathematics, science, programming, and linguistics.

The model supports more than 100 languages, with major improvements for Asian and low-resource languages, and is fully multimodal, capable of processing text, code, and images. Optimized for consumer-grade hardware, it can generate up to 20 tokens per second on high-end machines, demonstrating efficiency even outside data centers.

Thanks to its open-source nature, DeepSeek 3.1 offers APIs and extensive customization options, enabling flexible adoption for both developers and enterprises. While full deployment requires a multi-GPU configuration (e.g., NVIDIA A100 80 GB), lighter "distilled" variants are already planned for single GPUs such as the RTX 3080 or 4090. Quantization techniques and integration with optimized runtimes like Ollama are also under development.

From a privacy perspective, fully local execution minimizes risks related to personal data processing, avoiding reliance on third-party cloud infrastructures. This makes DeepSeek 3.1 especially appealing for those seeking a balance between power, security, and technological independence.