Deepseek R1 0528 Model: Everything You Should Know

In early 2025, the DeepSeek R1 created quite a sensation in the AI community for its superior performance and low cost. Recently, this model underwent an update, called DeepSeek R1 0528, on May 28, 2025. What's new in this update? Without further ado, dive into this post to see the advancements it has made. 

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What Is the DeepSeek R1 0528 Model?

DeepSeek R1 0528 model is the next-gen sequel to DeepSeek R1 that brings high-tier reasoning and code chops to the open-source community. As the newest version of the DeepSeek R1 models, DeepSeek R1 0528 has achieved impressive advancements in reasoning and inference skills. This is thanks to better computational resources and optimized algorithms applied after the training phase.

In terms of performance, DeepSeek R1 0528 is designed to be on par with some leading models like OpenAI's o3 and Google's Gemini 2.5 Pro. You can find it on platforms like GitHub, Azure AI Foundry, Lambda AI, and OpenRouter.

What's New in DeepSeek R1 0528?

Although DeepSeek R1 0528 is termed a minor version upgrade, it has dramatically improved its depth in parameter scale, reasoning capability, code generation, thinking span, reliability, and more. Typical enhancements include:

• Immerse Parameter Scale: With training on a staggering 671 billion parameters, this model unlocks possibilities for powerful and efficient data processing based on a dataset of 671 billion tokens.
• Completely Open-Source: DeepSeek R1 0528 operates as a fully open-source model that guarantees transparency and opportunities for community-driven enhancements. Tiy can clone, fine-tune, and deploy at will without tokens or rate limits.
• Smarter Reasoning Capability: The new upgrade also improves its reasoning ability. With better logical problem-solving, it performs well even when handling nuance and multi-step tasks.
• Better Code Generation: DeepSeek R1 0528 can now generate code more accurately and efficiently. It is closer to frontier-level closed-source models such as Claude and GPT-4.
• Enhanced Reliability: It reduces hallucinations and provides a consistent output when receiving ambiguous or vague queries.  
• Longer Thinking Span: When confronted with complex problems, the DeepSeek R1 0528 model will think for a longer time to reduce mismatches in results.

What if DeepSeek shows that the server is busy? How to solve this server error and chat with Deepseek again? The following guide might be useful to you:

How to Fix DeepSeek Server Busy | Causes & Solutions

When the 'DeepSeek Server Busy' popup appears frequently, how can you quickly diagnose the cause and resolve the issue? This article provides the most optimized solutions and long-term prevention strategies, combining technical analysis and exclusive data.

Comparison Between DeepSeek R1 0528 and Original R1

Since this new version is a significant leap over its predecessor, let's now compare the DeepSeek R1 0528 and the original R1 model to pinpoint how this updated model specifically differs from the launch version:

Do you wonder about the differences between DeepSeek and other large language models? See the following post to get the answer: 

Conclusion

This guide outlines what DeepSeek R1 0528 is and what improvements it has brought. This new upgrade for DeepSeek R1 offers notable enhancements in reasoning depth, coding capabilities, and overall reliability.

The DeepSeek R1 0528 model narrows down the gap between some leading AI models like O3 and Gemini 2.5 Pro. It has proven to perform excellently in various benchmark evaluations, particularly in mathematics, programming, and logical thinking.

Most importantly, it combines outstanding overall performance with the cost-efficiency of open-source, pushing the boundary of AI capabilities. Whether you are a developer, researcher, or startup, you can deal with tasks that require complex computations and large amounts of data processing without the burden of cost.