OpenAI gpt-4o-mini-realtime-preview
Version: 2024-12-17
Direct from Azure models
Direct from Azure models are a select portfolio curated for their market-differentiated capabilities:- Secure and managed by Microsoft: Purchase and manage models directly through Azure with a single license, consistent support, and no third-party dependencies, backed by Azure's enterprise-grade infrastructure.
- Streamlined operations: Benefit from unified billing, governance, and seamless PTU portability across models hosted on Azure - all part of Microsoft Foundry.
- Future-ready flexibility: Access the latest models as they become available, and easily test, deploy, or switch between them within Microsoft Foundry; reducing integration effort.
- Cost control and optimization: Scale on demand with pay-as-you-go flexibility or reserve PTUs for predictable performance and savings.
Key capabilities
About this model
Currently, the GPT-4o-mini-realtime-preview model focuses oResponsible AI considerations
Safety techniques
GPT-4o-mini-realtime-preview has safety built-in by design across modalities, through techniques such as filtering training data and refining the model's behavior through post-training. We have also created new safety systems to provide guardrails on voice outputs.Safety evaluations
We've evaluated GPT-4o-mini-realtime-preview according to our Preparedness Framework and in line with our voluntary commitments. Our evaluations of cybersecurity, CBRN, persuasion, and model autonomy show that GPT-4o-mini-realtime-preview does not score above Medium risk in any of these categories. This assessment involved running a suite of automated and human evaluations throughout the model training process. We tested both pre-safety-mitigation and post-safety-mitigation versions of the model, using custom fine-tuning and prompts, to better elicit model capabilities. GPT-4o-mini-realtime-preview has also undergone extensive external red teamingQuality and performance evaluations
Source: OpenAI The provider has not supplied this information.Benchmarking methodology
Source: OpenAI We've evaluated GPT-4o-mini-realtime-preview according to our Preparedness Framework and in line with our voluntary commitments. Our evaluations of cybersecurity, CBRN, persuasion, and model autonomy show that GPT-4o-mini-realtime-preview does not score above Medium risk in any of these categories. This assessment involved running a suite of automated and human evaluations throughout the model training process. We tested both pre-safety-mitigation and post-safety-mitigation versions of the model, using custom fine-tuning and prompts, to better elicit model capabilities. GPT-4o-mini-realtime-preview has also undergone extensive external red teaming with 70+ external experts in domains such as social psychology, bias and fairness, and misinformation to identify risks that are introduced or amplified by the newly added modalities. We used theModel Specifications
Context Length128000
LicenseCustom
Training DataOctober 2023
Last UpdatedDecember 2025
Input TypeAudio,Text
Output TypeAudio,Text
ProviderOpenAI
Languages27 Languages