DeepSeek releases R1-0528: Open Source Inference AI Model, Providing Enhanced Mathematics and Code Performance with Single GPU Efficiency

DeepSeek, a Chinese artificial intelligence unicorn, has released an updated version of its R1 inference model called DeepSeek-R1-0528. This release enhances the model’s capabilities in mathematics, programming, and general logical reasoning, positioning it as a powerful open source alternative to O3 for OpenAI and Gemini 2.5 Pro for Google, such as OpenAI.

Technology enhancement

The R1-0528 update introduces significant improvements in inference depth and inference accuracy. It is worth noting that the model’s performance increased from 70% to 87.5% in the AIME 2025 math benchmark, reflecting a deeper inference process, with an average average token of 23,000 tokens per problem, up from 12,000 in the previous version. This enhancement is attributed to the increase in computing resources and algorithm optimization applied after training.

In addition to mathematical reasoning, the model’s performance in code generation tasks has improved. According to LiveCodeBench benchmarks, the R1-0528 is lower than the O4 Mini and O3 models of OpenAI, and outperforms the Grok 3 Mini of Xai and Qwen 3 of Alibaba in code generation tasks.

Open source model weight

DeepSeek continues to commit to open source and open weight AI by releasing R1-0528 under the MIT license, allowing developers to freely modify and deploy models. The weights of this model can be available on the embrace surface and provide detailed documentation for on-premises deployment and API integration. This approach contrasts sharply with the proprietary nature of many leading AI models, thus promoting transparency and accessibility in AI development.

Lightweight deployment of distilled

Recognizing the need for easier access to AI solutions, DeepSeek has also released a distilled version of R1-0528 called DeepSeek-R1-0528-QWEN3-8B. The model is fine-tuned from Alibaba’s Qwen3-8b using text generated by R1-0528 to achieve state-of-the-art performance in open source models in the AIME 2024 benchmark. It is designed to run efficiently on a single GPU, making advanced AI capabilities easier for developers to obtain limited computing resources.

Review consideration

While DeepSeek’s advances in AI are worth noting, the R1-0528 model has been observed to show a more stringent content moderation compared to its predecessor. Independent testing shows that the model avoids or provides limited responses to politically sensitive topics, such as the Tiananmen Square protests and Taiwan’s status, consistent with Chinese regulations that require AI models to comply with content restrictions.

Global impact

The release of R1-0528 highlights China’s growing influence in the AI ​​industry, challenging the dominance of the United States based on American companies. DeepSeek’s ability to develop competitive AI models with a small portion of the cost of its Western peers has prompted companies such as Openai to express concerns about the potential for these models to be manipulated by the Chinese government. This development highlights the dynamics of change in global AI development and the importance of open source models in promoting innovation and competition.

in conclusion

DeepSeek’s R1-0528 model represents a significant advancement in open source AI, providing developers with enhanced inference capabilities and accessibility. DeepSeek has made great strides in democratizing AI technology by providing full-size models and distilled versions suitable for single-GPU deployment. However, the model’s strategy to adhere to content reflects the complex interaction between technological advances and regulatory compliance. As the AI ​​landscape continues to evolve, the development of DeepSeek may play a key role in shaping the future of open source AI.

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Asif Razzaq is CEO of Marktechpost Media Inc. As a visionary entrepreneur and engineer, ASIF is committed to harnessing the potential of artificial intelligence to achieve social benefits. His recent effort is to launch Marktechpost, an artificial intelligence media platform that has an in-depth coverage of machine learning and deep learning news that can sound both technically, both through technical voices and be understood by a wide audience. The platform has over 2 million views per month, demonstrating its popularity among its audience.