Why Azure OpenAI is dumber than OpenAI

Hello Alejandro Flores,

Welcome to Microsoft Q&A!

I see you’re noticing some performance differences between OpenAI and Azure OpenAI, even though you're using the same model (GPT-4o-mini). There are several factors that could contribute to these differences:

• OpenAI's models are hosted directly by OpenAI, while Azure OpenAI integrates these models within Microsoft's Azure ecosystem. This integration can introduce variations in latency, resource allocation, and overall performance.
• The way each service implements the API can affect performance. Differences in request handling, rate limiting, and error management might lead to variations in how responses are generated.
• Azure allows users to select specific regions for their deployments, which can impact performance based on geographical proximity and network conditions. OpenAI's standard endpoint does not offer this flexibility, potentially leading to different latency experiences.
• Custom system prompts and configurations can influence how models interpret and respond to queries. If the system prompts or configurations differ between the two services, this could explain the discrepancies in responses.
• The quality and preprocessing of data fed into the models can vary. Azure's integration with other Azure services might introduce additional preprocessing steps that affect the model's output.
• During peak times, the load on servers can impact performance. OpenAI's API might experience different load patterns compared to Azure's, affecting response times and accuracy.

Please note that it's worth conducting controlled experiments to isolate these variables and better understand their impact on performance.

Regards,

Gao

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I didn't find it useful since I have compared both and stills OpenAI Azure seems dumber. How can I know what filters does it have?