We’re excited to announce that DeepSeek-R1-0528, the latest evolution in the DeepSeek R1 open-source series of reasoning-optimized models, is now available on the Azure AI Foundry. According to DeepSeek, the R1-0528 model brings improved depth of reasoning and inferencing capabilities, and has demonstrated outstanding performance across various benchmark evaluations, approaching leading models such as OpenAI o3 and Gemini 2.5 Pro. In less than 36 hours, we’ve seen 4x growth in deployments of DeepSeek-R1-0528 compared to DeepSeek R1.
Building on the foundation of DeepSeek-R1this new release continues to push the boundaries of advanced reasoning and task decomposition. DeepSeek-R1-0528 integrates enhancements in chain-of-thought prompting, reinforcement learning fine-tuning, and broader multilingual understanding, making it a powerful tool for developers building intelligent agents, copilots, and research applications. Available within Azure AI Foundry, DeepSeek-R1-0528 is accessible on a trusted, scalable, and enterprise-ready platform, enabling businesses to seamlessly integrate advanced AI while meeting SLAs, security, and responsible AI commitments -all backed by Microsoft’s reliability and innovation.
What’s new in DeepSeek-R1-0528?
While maintaining the core strengths of its predecessor, DeepSeek-R1-0528 introduces:
Improved reasoning depth through refined CoT (Chain-of-Thought) strategies.
Expanded dataset coverage for better generalization across domains.
Optimized inference performance for faster response times in production environments.
New algorithmic optimization mechanisms during post-training.
DeepSeek-R1-0528 is joining other direct from Azure models and it will be hosted and sold by Azure.
Build Trustworthy AI Solutions with Azure AI Foundry
As part of our ongoing commitment to help customers use and build AI that is trustworthy, meaning AI that is secure, safe and private, DeepSeek-R1-0528 has undergone Azure’s safety evaluations, including assessments of model behavior and automated security reviews to mitigate potential risks. With Azure AI Content Safety, built-in content filtering is available by default, with opt-out options for flexibility. We suggest using Azure AI Content Safety and conducting independent evaluations in production, as researchers have found DeepSeek-R1-0528 scoring lower than other models—though in line with DeepSeek-R1—on safety and jailbreak benchmarks.
Get started today
You can explore and deploy DeepSeek-R1-0528 directly from the Azure AI Foundry model catalog or integrate it into your workflows using the Azure AI SDK. The model is also available for experimentation via GitHub.
Whether you’re building a domain-specific assistant, a research prototype, or a production-grade AI system, DeepSeek-R1-0528 offers a robust foundation for your next breakthrough.
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