DeepSeek-V3-0324
Version: 1
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Key capabilities
About this model
DeepSeek-V3-0324 shows significant improvements over its prResponsible AI considerations
Safety techniques
Microsoft and external researchers have found Deepseek V3 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. When deployed via Microsoft Foundry, prompts and completions are passed through a default configuration of Azure AI Content Safety classification models to detect and prevent the output of harmful content. Learn more about Azure AI Content Safety . Configuration options for content filtering vary when you deploy a model for production in Azure AI; [Quality and performance evaluations
Source: DeepSeek Significant improvements in benchmark performance:- MMLU-Pro: 75.9 → 81.2 (+5.3)
- GPQA: 59.1 → 68.4 (+9.3)
- AIME: 39.6 → 59.4 (+19.8)
- LiveCodeBench: 39.2 → 49.2 (+10.0)
Benchmarking methodology
Source: DeepSeek The provider has not supplied this information.Public data summary
Source: DeepSeek Microsoft and external researchers have found Deepseek V3 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.Model Specifications
Context Length128000
Quality Index0.78
LicenseMit
Last UpdatedDecember 2025
Input TypeText
Output TypeText
ProviderDeepSeek
Languages2 Languages
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