DeepSeek
Deepseek V4 Flash
DeepSeek-V4-Flash is a lightweight model meticulously designed by DeepSeek to deliver the ultimate combination of lightning-fast response times and unmatched cost-effectiveness. Engineered with fewer parameters and significantly lower activation overhead, V4-Flash provides an exceptionally fast and economical API service. At its core, V4-Flash demonstrates outstanding reasoning capabilities that closely rival the V4-Pro model. While featuring a slightly streamlined repository of world knowledge, it remains highly capable of satisfying the demands of most application scenarios. In Agentic applications, V4-Flash performs on par with the Pro version when handling standard and fundamental tasks. As the premier choice for developers prioritizing high concurrency, low latency, and cost efficiency, DeepSeek-V4-Flash serves as the optimal solution for deploying large-scale, high-frequency, and lightweight AI workloads.
Deepseek V4 Pro
DeepSeek-V4-Pro is the next-generation flagship open-source large language model developed by DeepSeek, delivering comprehensive performance that rivals the world's premier closed-source models. Compared to its predecessor, V4-Pro achieves a breakthrough evolution in Agentic capabilities. It firmly holds the top position among open-source models in Agentic Coding, providing a high-quality, end-to-end code delivery experience that surpasses mainstream industry benchmarks (such as Sonnet 4.5). Furthermore, the model not only boasts an expansive repository of world knowledge that leads the open-source community, but it also demonstrates ultimate logical reasoning prowess in highly demanding evaluations—including mathematics, STEM, and competitive programming. In these rigorous domains, V4-Pro outperforms all publicly evaluated open-source models and matches the capabilities of global closed-source giants. As the ideal foundational model for building complex agentic workflows, professional-grade software developm
DeepSeek-OCR 2
DeepSeek-OCR 2 is a multimodal document recognition model released by DeepSeek AI, serving as an upgrade to DeepSeek-OCR. By introducing the DeepEncoder V2 architecture, it achieves a paradigm shift in visual encoding from "fixed scanning" to "semantic reasoning." The model replaces the original CLIP encoder with a lightweight language model (Qwen2-0.5B) and incorporates a causal flow query mechanism, while retaining the DeepSeek-3B-MoE decoder. The model requires only 256 to 1120 visual tokens to cover complex document pages. On the OmniDocBench v1.5 benchmark, it achieves an overall score of 91.09%, a 3.73% improvement over its predecessor, with reading order recognition edit distance reduced from 0.085 to 0.057.
DeepSeek V3.1
DeepSeek-V3.1 is a hybrid model that supports both thinking mode and non-thinking mode.DeepSeek-V3.1 is post-trained on the top of DeepSeek-V3.1-Base, which is built upon the original V3 base checkpoint through a two-phase long context extension approach, following the methodology outlined in the original DeepSeek-V3 report. We have expanded our dataset by collecting additional long documents and substantially extending both training phases. The 32K extension phase has been increased 10-fold to 630B tokens, while the 128K extension phase has been extended by 3.3x to 209B tokens.
DeepSeek R1 0528
DeepSeek R1 0528 is the latest open-source model released by the DeepSeek team, featuring impressive reasoning capabilities, particularly achieving performance comparable to OpenAI's o1 model in mathematics, coding, and reasoning tasks.
DeepSeek V3 0324
DeepSeek V3, a 685B-parameter, mixture-of-experts model, is the latest iteration of the flagship chat model family from the DeepSeek team.