DeepSeek-R1-0528 - The latest version of DeepSeek's open source R1 AI model

What is DeepSeek-R1-0528?

DeepSeek-R1-0528 Yes DeepSeek The latest AI model released by the team is based on DeepSeek-V3-0324 training, with 660B parameters and significantly improved performance. The model is open source on HuggingFace, which supports developers to use and modify it freely. The core highlights of the model include powerful deep inference capability, support for complex multi-step logic problems, optimized text generation for more natural output and better formatting, and model support for single-task processing of up to 30-60 minutes, which is suitable for complex tasks. On programming tasks, DeepSeek-R1-0528 outperforms, especially in complex task processing and code generation. Claude 4 Sonnet and Gemini 2.5 Pro and other top stream large models. Currently, the models can be experienced on the official website, APP, small program (with deep thinking function enabled) and API interface.

Key Features of DeepSeek-R1-0528

• inference in depth: Supports handling complex logical reasoning and multi-step thinking to effectively solve complex problems.
• Programming skills: Generates high-quality code that supports a wide range of programming tasks, including simulation of physical phenomena, front-end design, and more.
• Text Generation: Support for generating natural flowing text, formatted for all types of writing tasks.
• ponder: Single-task processing time of 30 to 60 minutes, ideal for complex tasks.

DeepSeek-R1-0528's official website address

• HuggingFace Model Library::https://huggingface.co/deepseek-ai/DeepSeek-R1-0528

How to Use DeepSeek-R1-0528

• Official website access: Access to DeepSeek'sOfficial website. Follow the prompts and turn on the Deep Thinking feature to start the test.
• APP AccessDownload and install the official DeepSeek APP for iOS users.Apple AppStore, accessed by Android usersTencent App Store (developers of the QQ App Store)Download and install. In the main interface of the APP, turn on the Deep Thinking function to enter the use.
• Small program access: Search for DeepSeek applet in WeChat. Turn on the DeepSeek feature in the main interface of the applet to start testing, and click on it to use it.
• API Interface Access: Developers access R1 models based on the API interface provided by DeepSeek. Register and obtain an API Key. Based on the API Key, call the interface of R1 model according to the instructions in the documentation for testing and development.

Core Benefits of DeepSeek-R1-0528

• in-depth reasoning ability: Specializes in complex logic and multi-step thinking for problem solving.
• Excellent programming skills: Generate high-quality code to support a wide range of programming tasks.
• Optimize text generation: The output flows naturally and is formatted for writing tasks.
• Open Source Flexibility: Open source based on the MIT protocol for easy use and modification by developers.
• multitasking: Adaptable to multiple tasks, efficient switching and stable output.

Performance of the DeepSeek-R1-0528

• Programming skills: In the LiveCodeBench benchmarks, DeepSeek-R1-0528 performs extremely well, almost equaling OpenAI's o3-high, and even outperforming other top big models such as Claude 4 Sonnet and Gemini 2.5 Pro in some respects.
• mathematical reasoning: In the AIME 2025 test, DeepSeek-R1-0528's accuracy improved significantly from 70% in the old version to 87.5%, showing a significant improvement in solving complex math problems. In the AIME 2024 test, DeepSeek-R1-0528-Qwen3-8B, which is based on DeepSeek-R1-0528 distillation training, performs well, second only to DeepSeek-R1-0528 itself, outperforms Qwen3-8B (+10.0%), and is comparable to Qwen3-235B.
• Tool Call: In Tau-Bench measurements, DeepSeek-R1-0528 performs on par with OpenAI's o1-high, but still falls short of o3-High and Claude 4 Sonnet.

Who is DeepSeek-R1-0528 for?

• Developers and Programmers: Used in efficient programming aids to automatically generate and optimize code.
• Data scientists and researchers: Automated data analysis and complex reasoning to support scientific research.
• Educators and students: Used in smart tutoring and educational resource generation to power learning.
• Content creators and media practitioners: Use in text generation and idea stimulation to enhance creative productivity.
• Business and Market Analyst: Used in smart office and market analysis to provide decision support.