The DeepSeek R1-0528 is a powerful and efficient open-source reasoning model released under the MIT license. It builds upon the original R1 model with impressive enhancements, boasting a total of 671 billion parameters, with 37 billion active for inference. This is made possible by its sparse mixture of experts architecture, making it both massive and efficient.

The R1-0528 model showcases improved long-term reasoning capabilities, making it well-suited for real-world development tasks. One of the standout features is its exceptional coding quality, which can be attributed to its enhanced performance and stronger front-end development capabilities, as well as its smarter tool usage.

During testing, the model demonstrated its ability to generate a visually appealing and intuitive SAS landing page, complete with animations and all the necessary components, such as the FAQ, pricing page, features, and a footer. This showcases the model's potential for deployment in various front-end and back-end tasks.

While the model has a respectable context window of 163k, it may not be the best choice for debugging large codebases. However, the model's pricing is quite reasonable, with 1 million input tokens costing 50 cents and 1 million output tokens costing $2.18. Users can access the model through the DeepSeek chatbot, enabling the "deep think" mode to generate a wide range of content.

The model's performance has been extensively benchmarked, and the results are impressive. Compared to the OpenAI GPT-3 Gemini 2.5 Pro, Quant 3, and the previous DeepSeek R1 model, the R1-0528 performs on par or slightly better in various tasks, including live code generation, anime mathematics, and ADER.

In summary, the DeepSeek R1-0528 is a powerful and efficient reasoning model that offers exceptional coding quality, making it a compelling choice for a wide range of front-end and back-end development tasks. Its performance, pricing, and accessibility through the DeepSeek chatbot and open-source APIs make it an attractive option for developers and researchers alike.

The new DeepSeek R10528 model has demonstrated impressive benchmark performance, showcasing its capabilities across various tasks. In a comparison against the OpenAI GPT-3 Gemini 2.5 Pro, Quant 3, and the previous DeepSeek R1 model, the R10528 has proven to be a strong contender.

According to the benchmark results shared in the blog post, the R10528 model performs on par or slightly better than the OpenAI GPT-3 Gemini 2.5 Pro in code generation tasks. It also shows competitive results in other benchmarks, such as ADER and Mathematics, where it is either slightly below or slightly ahead of the other models.

This balanced performance across different benchmarks highlights the versatility and robustness of the R10528 model. Its ability to maintain a high level of competence in various tasks, including code generation, makes it a compelling choice for developers and researchers who require a powerful and efficient reasoning model.

The model's sparse mixture of experts architecture, which allows for 37 billion active parameters during inference, contributes to its impressive efficiency and performance. This architectural design ensures that the model can deliver high-quality results without sacrificing computational resources.

Overall, the benchmark results demonstrate the significant advancements made by the DeepSeek team in their latest R10528 model. This model's strong performance across a range of tasks positions it as a valuable tool for real-world development and deployment, catering to the diverse needs of the AI community.

The new DeepSeek R10528 model is a powerful and efficient reasoning model that boasts an impressive 671 billion parameters, with only 37 billion active for inference. Its sparse mixture of experts architecture makes it highly capable and ready for real-world development tasks.

One of the standout features of this model is its exceptional coding quality and front-end development capabilities. During testing, it was able to generate a visually appealing and intuitive SAS landing page, complete with animations and all the necessary components.

The model's 163k context window may not be the most impressive, but it is still capable of handling various tasks, including front-end and back-end development. The pricing is also quite reasonable, at 50 cents for 1 million input tokens and $2.18 for 1 million output tokens.

To leverage the DeepSeek Chatbot for rapid prototyping, you can simply enable the "deep think" mode and generate a wide range of applications, from weather dashboards to 3D simulations of the solar system. The built-in canvas allows you to visualize the generated code and make further refinements as needed.

Additionally, you can integrate the DeepSeek R10528 model with autonomous coding agents like Clin, which can execute terminal commands, create files, and edit them directly within your IDE. By using the free API provided by Open Router, you can easily access the model and generate a variety of applications, from simple Python scripts to complex full-stack web applications.

Overall, the DeepSeek R10528 model is a powerful tool that can significantly streamline your prototyping and development processes, thanks to its impressive coding capabilities and efficient architecture.

The new DeepSeek R10528 model is an impressive open-source reasoning model that boasts 671 billion parameters, with 37 billion active for inference. Its sparse mixture of experts architecture makes it both powerful and efficient. This model excels at long-term reasoning and is well-suited for real-world development tasks.

One of the standout features of the DeepSeek R10528 is its exceptional coding quality. During testing, it demonstrated strong front-end development capabilities, creating a visually appealing and intuitive SAS landing page with animations and all the necessary components.

To leverage the capabilities of this model, you can use the free API provided by Open Router. By obtaining an API key, you can integrate the DeepSeek R10528 into various coding agents, such as Clin, which can execute terminal commands, create, edit, and delete files.

For example, you can use the DeepSeek R10528 to generate a 3D snake game or a solar system explorer, showcasing its ability to create complex 3D structures and simulations. Additionally, the model can be used to develop a CRM dashboard, demonstrating its UI/UX design capabilities.

The DeepSeek R10528 is an affordable and powerful tool, costing only $0.50 per 1 million input tokens and $2.18 per 1 million output tokens. Its performance is on par with or slightly better than models like OpenAI's GPT-3 and Gemini 2.5 Pro in various benchmarks, making it a compelling option for a wide range of development tasks.

The new DeepSeek R10528 model showcases impressive front-end development capabilities, allowing it to quickly generate a visually appealing CRM dashboard.

When provided with a prompt to create a CRM dashboard, the model was able to generate a basic structure with a lead page and various features for an order management system. The resulting dashboard had a clean and intuitive design, demonstrating the model's ability to create visually appealing user interfaces.

The generation process was efficient, with the model completing the task in just a few minutes. This highlights the potential for using the DeepSeek R10528 model for rapid prototyping and building the foundation of applications, especially when it comes to front-end development.

Compared to more expensive language models like Claude, Opus, or Sonnet, the DeepSeek R10528 offers a cost-effective solution for generating basic application structures, making it an attractive option for developers and teams on a budget.

Overall, the CRM dashboard generation showcases the DeepSeek R10528 model's strong front-end development capabilities, which can be leveraged to streamline the application development process and create visually appealing user experiences.

The new DeepSeek R10528 model is an impressive upgrade to the original R1 model. With 671 billion parameters, of which 37 billion are active for inference, this model boasts a powerful and efficient sparse mixture of experts architecture.

The model's performance is on par with or slightly better than OpenAI's GPT-3 and Gemini 2.5 Pro in various benchmarks, including live code generation, anime mathematics, and ADER. This makes the DeepSeek R10528 a compelling choice for a wide range of applications, from front-end development to backend tasks.

One of the standout features of this model is its exceptional coding quality and front-end development capabilities. The model was able to quickly generate a visually appealing and functional SAS landing page, showcasing its ability to create intuitive user interfaces.

Users can access the DeepSeek R10528 model through the DeepSeek chatbot, which includes a built-in canvas for visualizing the generated code. Additionally, the model can be integrated into coding agents like Clin, which allows for seamless integration and execution of terminal commands and file management.

Overall, the DeepSeek R10528 is a powerful and versatile model that could be a game-changer for developers and businesses looking to streamline their application development process. Its impressive performance, coding quality, and front-end development capabilities make it a valuable tool in the AI landscape.