Azure OpenAI Service Reviews & Product Details

What I like best about Azure OpenAI Service is its secure and scalable access to powerful AI models within the Azure ecosystem. It allows seamless integration of generative AI capabilities into applications while meeting enterprise-grade security, compliance, and governance requirements. The service makes it easier to build, deploy, and manage AI-driven solutions, improving productivity and enabling advanced use cases such as chatbots, content generation, and data analysis. Review collected by and hosted on G2.com.

Azure OpenAI Service can have a learning curve for new users, especially when configuring resources and understanding model limits and quotas. Pricing and usage costs may be difficult to estimate initially, particularly for large-scale workloads. Additionally, access to certain models or features may be limited by region or approval requirements, which can slow down adoption. Review collected by and hosted on G2.com.

I like how Azure OpenAI Service integrates very smoothly with other Azure services, making it easier for me to build end-to-end AI solutions. It also helps with data security because our data stays within our private Azure environment, which aligns with our strict enterprise rules and requirements. Setting it up was easy with clear instructions available. Review collected by and hosted on G2.com.

The one thing that I want to improve for Azure OpenAI Service is the fine-tuning options are restricted compared to other open source models, and there is limited control over training data. The current limitation is that fine-tuning is only available for select models and it does not accept all the latest GPT models. I would like to see fine-tuning for all major models and have the ability to control it. Review collected by and hosted on G2.com.

The seamless integration with existing Azure resources is a huge plus. It feels natural to plug advanced AI models into my workflows without a complex setup. The service is highly scalable and secure, and it’s backed by Microsoft’s enterprise-grade infrastructure, which gives me confidence when deploying solutions in production.

I also appreciate the flexibility: whether it’s text generation, summarization, or embedding models, the breadth of features covers most of my use cases. The documentation and SDKs make implementation straightforward, and being able to manage everything through the Azure Portal helps keep things organized and easy to maintain. Review collected by and hosted on G2.com.

Pricing can be a bit tricky to estimate, especially when usage spikes unexpectedly. The documentation is solid overall, but I’d like to see more in-depth advanced examples that help developers better optimize both performance and costs. Review collected by and hosted on G2.com.

What I appreciate most about Azure OpenAI Service is its enterprise‑grade reliability, security, and seamless integration with the broader Azure ecosystem. It lets me deploy advanced AI capabilities with confidence, because I know data governance, compliance, and scalability are handled to a world‑class standard. The mix of powerful models, flexible deployment options, and strong operational stability makes it a great fit for building real, production‑ready AI solutions. Review collected by and hosted on G2.com.

Overall, I value Azure OpenAI Service, but there are a few areas where it could be improved. The pricing structure can feel complicated, especially when trying to balance model performance with predictable costs at scale. Some of the newest model releases also seem to arrive later than on other platforms, which can slow down experimentation and iteration. In addition, certain configuration and deployment options feel more restrictive than I expected, which can reduce flexibility for more advanced use cases. Review collected by and hosted on G2.com.

Azure OpenAI service is good for me because it gives me plenty of options to integrate with services already running in Azure. I use the Azure service in my current project, which is deployed on an Azure VM, so it’s easy to use and fits perfectly with my setup. Review collected by and hosted on G2.com.

Mostly, they have some limitations in model availability and in certain regions due to zone restrictions. Along with that, job tracking could be better, and the model also blocks some valid prompts because of the safety measures. Review collected by and hosted on G2.com.

Below are some points I like about Azure .

Built on Azure’s trusted infrastructure, with strict compliance certifications (ISO, SOC, HIPAA, GDPR).

You can scale from small experiments to production workloads without worrying about infrastructure.

Smoothly Integrate with Azure Ecosystem . Review collected by and hosted on G2.com.

Below some points I dont like about it .

Running Large model can get expensive quickly .

Not every Azure region support openAI . Review collected by and hosted on G2.com.

Azure OpenAI Service provides enterprise-grade access to powerful AI models, enabling secure, scalable, and customizable AI solutions for content generation, analysis, coding, and conversational applications. It supports a range of use cases while helping organizations build and deploy AI capabilities in a way that aligns with enterprise needs. Review collected by and hosted on G2.com.

The UI is a little complex for beginners. Apart from that, I haven’t found anything to dislike so far. Review collected by and hosted on G2.com.

Azure OpenAI Service delivers generative AI with the security, privacy, and compliance guarantees of the Azure platform. It also integrates smoothly with other Azure services, which makes it easier to build enterprise‑grade solutions for content generation, summarization, code assistance, and semantic search. For me, its biggest strength is how it pairs advanced AI models with strong governance, along with safe, controlled handling of data. Review collected by and hosted on G2.com.

Azure OpenAI’s main drawbacks are its strict rate limits, higher cost, and tighter content filtering. I also find it slightly less responsive than OpenAI’s direct API. Region availability and pricing clarity can be occasional pain points as well. Review collected by and hosted on G2.com.

I've been using azure open ai service for more than 1 and half years. I find it easier to use as it's integrated within the Azure ecosystem and finding every open ai model before everyone feels bliss as it helps me develope better application before everyone and customer care is so good Review collected by and hosted on G2.com.

I've had no complaints yet so it's best. Review collected by and hosted on G2.com.

Azure OpenAI Service helps to deploy model very easily and with their endpoint and api keys we can easily integrate with our AI model to work Review collected by and hosted on G2.com.

Some times more traffic is their in specific region so facing slowness in output. Review collected by and hosted on G2.com.