--- title: "China's DeepSeek has unveiled its DeepSeek-V4-Pro models" description: "The flagship model with 1.6 trillion total parameters (49 billion active). It is positioned to compete with top closed-source models like OpenAI's GPT" author: "Anubhav Sharma" published: 2026-04-27 updated: 2026-04-27 canonical: https://www.mindstick.com/news/4764/china-s-deepseek-has-unveiled-its-deepseek-v4-pro-models category: "technology" tags: ["technology", "International"] reading_time: 2 minutes --- # China's DeepSeek has unveiled its DeepSeek-V4-Pro models DeepSeek [officially launched](https://answers.mindstick.com/qa/34730/which-state-government-has-officially-launched-parivartan-scheme-cleanliness-pollution-free-drive) the preview of its **DeepSeek-V4** model series on **April 24, 2026**. This flagship release introduces a two-tier lineup—**Pro** and **Flash**—both of which are open-sourced under the permissive MIT license. ## Key Model Specifications The V4 series uses a Mixture-of-Experts (MoE) architecture designed for high intelligence and extreme efficiency. - **DeepSeek-V4-Pro**: The flagship model with **1.6 trillion total parameters** (49 billion active). It is positioned to compete with top closed-source models like [OpenAI's GPT-5.5](https://artificialanalysis.ai/articles/deepseek-is-back-among-the-leading-open-weights-models-with-v4-pro-and-v4-flash). - **DeepSeek-V4-Flash**: A lighter, faster version with **284 billion total parameters** (13 billion active). - **1M [Context Window](https://answers.mindstick.com/qa/116778/what-is-token-tokenization-work-and-context-window-in-llms)**: Both [models support](https://answers.mindstick.com/qa/51512/which-iphone-ipad-and-ipod-touch-models-support-ios-12-do-some-models-partially-support-ios-12-which-ones) an ultra-long context length of **1 million tokens**, [putting them](https://answers.mindstick.com/qa/36760/do-pets-know-when-you-are-putting-them-down) on par with major Western rivals. ## Performance and Pricing DeepSeek continues its strategy of "rock-bottom prices," claiming performance near state-of-the-art levels at a fraction of the cost. - **Benchmarking**: V4-Pro leads open-source models in "world knowledge" and agentic work tasks, though it retains a high hallucination rate of approximately 94% when it lacks specific answers. - **[Cost Efficiency](https://www.mindstick.com/articles/337676/how-to-leverage-cloud-computing-for-business-growth-and-cost-efficiency)**: The Pro version is reportedly **98% cheaper** than competing "Pro" models from U.S. labs. Running benchmarks on V4-Pro costs roughly $1,071, compared to over $4,800 for Anthropic's Claude 4.7 Opus. ## Strategic and Hardware Shifts A major highlight of this launch is its deep integration with domestic Chinese hardware. [13] - **Huawei Optimization**: DeepSeek spent months optimizing the V4 stack for [Huawei Ascend chips](https://www.reuters.com/technology/chinas-deepseek-returns-with-new-model-year-after-viral-rise-2026-04-24/), marking a significant shift toward self-reliance amid ongoing U.S. chip export restrictions. - **[Architectural](https://www.mindstick.com/blog/11999/how-to-schedule-architectural-photography-for-your-building-project) Upgrades**: Includes a new **Hybrid Attention Architecture** and the **Muon Optimizer** for faster convergence and improved stability during training. ## Where to Access - **Web & App**: Available via "Expert Mode" (Pro) and "Instant Mode" (Flash) at chat.deepseek.com. - **API**: The updated API is live and OpenAI-compatible. - **Local Deployment**: Model weights are available for download on [Hugging Face](https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro) and supported by tools like [Ollama](https://ollama.com/library/deepseek-v4-flash). Would you like to see a **benchmark comparison** between DeepSeek-V4 and other recent models like GPT-5.5 or Claude 4.7? --- Original Source: https://www.mindstick.com/news/4764/china-s-deepseek-has-unveiled-its-deepseek-v4-pro-models Copyright © MindStick Software Pvt. Ltd. This Markdown version is provided for developers, AI systems, and offline reading.