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Product Information on OpenAI API
What is OpenAI API?
OpenAI API Pricing
Overall experience with OpenAI API
“Procurement Managers Note Cost and Security Benefits, Warn On Quota Bottlenecks”
“OpenAI API - Speed thrills!”
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Company Description
OpenAI is an artificial intelligence research and deployment company focused on building safe, reliable, and enterprise-ready AI systems. Its mission is to ensure that artificial general intelligence benefits all of humanity while supporting responsible adoption at scale. OpenAI provides advanced AI models and platforms that support enterprise use cases including knowledge management, content creation, software development, customer support, and data analysis. These solutions are designed to integrate with existing enterprise workflows and technology environments to improve productivity and decision-making. With a focus on security, privacy, compliance, and governance, OpenAI enables organizations across industries to deploy AI in alignment with business requirements and risk management practices.
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A Snapshot of What Matters - Based on Validated User Reviews
User Sentiment About OpenAI API
Reviewer Insights for: OpenAI API
Deciding Factors: OpenAI API Vs. Market Average
OpenAI API Likes & Dislikes
Three things that I liked when weighing in on the selection/purchase and implementation of OpenAI API were the cost management, data control, and performance tracking. For cost management, pricing is usage-based and batch API allows for deeper discounts for non-urgent tasks. For data control, you have the ability to enable Zero Data Retention or ZDR if your client has sensitive campaigns. You won't have to worry about client data being stored on OpenAI's servers beyond that immediate processing window. This was a big reason behind our purchasing decision, as it was a no-brainer to attract and secure clients for our agencies. For performance tracking, it helps the procurement role to now have to include API-driven AI agents when auditing.
Easy integration using API keys (clear instructions), as said earlier bare minimum learning curve
It actually understands technical stuff like Rest Assured and java. Usually, when you ask a tool to generate test date it gives you something very basic, but this api can actually build some complex nested json that fits my pojo classes perfectly. It is like a huge time saver because I do not have to sit and type out everything for a post request anymore. I also love how it can look at a bunch of logs and tell me exactly where a test failed. It makes debugging so much less of a headache. As a tester who just wants to get things done, its great that I can just plug it into my existing Java framework and it starts working without me needing to be an expert.
If you know how to properly scale usage and navigate AI-driven agents, there won't be any drawbacks because you are in control and know your own use-case. Some people may dislike the waiting period when adjusting their usage tiers. It could end up being bad timing if the agency lands a new account and wants API throughput instantly but is in a 2-3 week scaling lag. Some may be hyper-specific when it comes to brand voice, and we've received agency feedback that not everything translates perfectly when compared to competitors. But again, there are ways to adjust and to know your use-case and the client's objectives when using system prompts. The one bottleneck that may affect most is the limit on TPM and RPM. A massively detailed (or massively successful) campaign could lock up agency quotas and require pre-negotiation of a fixed capacity for future contracts to avoid it from repeating.
Tight rate limits, more elaborate documentation on how to use the service in the most cost effective way.
There are a few things that really annoy me. The biggest one is how inconsistent the responses can sometimes be. I will run a test script one day and it works perfectly but then the next day the api gives me a slightly different JSON format or misses a field I need for my pojo. This makes automation suites fail for no reason and I have to spend time debugging something that isn't even a bug in the code. It's like the model just decided to be different some morning and that is super frustrating when you need reliable results.
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Peer Discussions
OpenAI API Reviews and Ratings
- Procurement Manager10B+ USDServices (non-Government)Review Source
Procurement Managers Note Cost and Security Benefits, Warn On Quota Bottlenecks
As a procurement manager with hands-on experience in enterprise choices and client/agency requirements, OpenAI's API is a nice jump up from the consumer ChatGPT experience. If you need to protect client IP, this is a good purchase in providing a closed-loop environment where user input is not used for model training by default. - Software Engineer50M-1B USDSoftwareReview Source
Fast Pojo Generation And Debugging Aid Offset By Occasional Response Variability
My experience so far has been really positive and it definitely changed how I look at my daily work. Being in Software testing for about 8 years now, I have seen many tools come and go but this api feels different because it actually understands what i am trying to do with my code. I use it a lot for generating those annoying test data sets and it integrates so well with rest assured which is a huge plus for me. It feels like having a junior engineer who never sleeps and is always ready to help with the heavy lifting of pojo creation or fixing broken script. The performance is really fast too, which helps when I'm running a lot of tests back to back. Honestly, it has made my job a lot less boring because I do not have to do as much repetitive typing anymore. - It TrainerGov't/PS/EdEducationReview Source
Developer-friendly AI API delivering powerful, scalable language intelligence.
My primary objective in adopting the Open AI API was to enhance my software application with advanced natural language understanding and generation capabilities, including automation of content creation, intelligent chat support, text analysis and semantic searches.I aim to reduce manual effort, accelerate development timelines and empower internal teams with AI driven insights.Especially the ease of integration and the quality of the models, which deliver accurate and context-aware responses across a wide range of use cases.The API is well documented and developer friendly. - IT ASSOCIATE50M-1B USDManufacturingReview Source
Balancing Performance and Cost Control When Using the OpenAI API in Production
The OpenAI API delivers strong value when used thoughtfully. Teams that invest in good prompt design, guardrails, monitoring, and cost controls tend to have the best experience. It's especially effective as a capability layer embedded into existing systems rather than as a standalone replacement for human decision-making. - IT MANAGER1B-10B USDServices (non-Government)Review Source
Platform Excels in Innovation but Enterprise Support Lags Behind Expectations
Overall, this is a very powerful and innovative AI platform that we use every day across multiple teams. The pace of feature delivery is impressive, and capabilities like deep research and agents have become part of our regular workflow. However, the vendor still feels immature from an enterprise perspective. Support is inconsistent, conversations often feel more like a consumer product help desk than an enterprise partnership, and it sometimes seems as if they are not used to working with larger organizations. The net result is that we really like the product itself, but are often frustrated by the surrounding support experience.