Deepseek Models

DeepSeek (深度求索) is a Chinese AI company that is making waves by offering powerful, cost-efficient large language models (LLMs) that rival many big-name models at a fraction of the development cost. According to reports, DeepSeek’s models were developed using relatively modest infrastructure, making them accessible for both research and commercial use.

One of its core models is DeepSeek‑V3, which delivers strong reasoning abilities for tasks like math, coding, and logic, positioning it as a serious competitor to other high-performance LLMs.

DeepSeek has also released DeepSeek‑R1, a reasoning-focused model built for structured problem solving, leveraging a mixture‑of‑experts (MoE) architecture.

On the multimodal front, DeepSeek offers DeepSeek‑VL models for vision + language understanding. The DeepSeek‑VL series uses a hybrid vision encoder that allows efficient processing of real-world images (like charts, documents, or high‑res images) while maintaining strong language comprehension.

The upgraded version, DeepSeek‑VL2, further improves this with dynamic tiling for images and a more efficient latent attention mechanism; it comes in several sizes (Tiny, Small, Full) to balance performance vs resource use.

There’s also a specialized DeepSeek‑OCR model, designed to compress and process large visual-text contexts. It uses a custom encoder/decoder architecture to convert image content (like scanned pages) into text with high accuracy, even when working with very long documents.

From a strategic perspective, DeepSeek has committed to open-source development: it plans to make several of its model codebases publicly available, emphasizing transparency and community collaboration.

It also uses a Native Sparse Attention (NSA) mechanism to make long-context inference more memory- and compute-efficient.

In real-world usage, DeepSeek models are already being adopted in a variety of domains, including enterprise applications, chatbot services, and even automotive voice assistants in China.

However, the rapid rise of DeepSeek has also drawn scrutiny: concerns have been raised around data privacy, model moderation, and long-term sustainability.