DeepSeek-R1-0528
Version: 1
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Key capabilities
About this model
Compared to the previous version, the upgraded model showsResponsible AI considerations
Safety techniques
Microsoft and external researchers have found Deepseek R1 to be less aligned than other models -- meaning the model appears to have undergone less refinement designed to make its behavior and outputs more safe and appropriate for users -- resulting in (i) higher risks that the model will produce potentially harmful content and (ii) lower scores on safety and jailbreak benchmarks. We recommend customers use Azure AI Content Safety in conjunction with this model and conduct their own evaluations on production systems. The model's reasoning output (contained within the tags) may contain more harmful content than the model's final response. Consider how your application will use or display the reasoning output; you may want to suppress the reasoning output in a production setting. When deployed via Microsoft Foundry, prompts and completions are passed through a default configuration of Azure AI Content Safety classification moQuality and performance evaluations
Source: DeepSeek For all our models, the maximum generation length is set to 64K tokens. For benchmarks requiring sampling, we use a temperature of$0.6, a top-p value of 0.95, and generate 16 responses per query to estimate pass@1.
| Category | Benchmark (Metric) | DeepSeek R1 | DeepSeek R1 0528 |
|---|---|---|---|
| General | |||
| MMLU-Redux (EM) | 92.9 | 93.4 | |
| MMLU-Pro (EM) | 84.0 | 85.0 | |
| GPQA-Diamond (Pass@1) | 71.5 | 81.0 | |
| SimpleQA (Correct) | 30.1 | 27.8 | |
| FRAMES (Acc.) | 82.5 | 83.0 |
Model Specifications
Context Length128000
Quality Index0.87
LicenseMit
Last UpdatedDecember 2025
Input TypeText
Output TypeText
ProviderDeepSeek
Languages2 Languages
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