Overview
Product Information on OpenAI API
What is OpenAI API?
OpenAI API Pricing
Overall experience with OpenAI API
“Balancing Performance and Cost Control When Using the OpenAI API in Production”
“OpenAI API - Speed thrills!”
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Cloud AI Developer Services
About Company
Company Description
OpenAI is focused on artificial intelligence (AI) research and deployment. The main business problem that the company solves is ensuring the safe creation and use of general-purpose AI, aligning it closely with human interests. Its efforts center around the inclusivity of different perspectives, voices, and understandings encompassing all of humanity. Through its work, OpenAI aims to utilize the potential of AI in addressing significant global problems and promoting widespread benefits of this technology.
Company Details
Key Insights
A Snapshot of What Matters - Based on Validated User Reviews
Reviewer Insights for: OpenAI API
Deciding Factors: OpenAI API Vs. Market Average
Performance of OpenAI API Across Market Features
OpenAI API Likes & Dislikes
High Quality models - strong performance across natural language understanding, generation, summarization, and reasoning tasks. Flexible APIs - supports chat, text, embeddings, image generation and function/tool calling, making it adaptable to many use cases. Scalability - handles production workloads reliably with low latency for most use cases.
Read Full ReviewEasy integration using API keys (clear instructions), as said earlier bare minimum learning curve
Read Full ReviewThe core tech is excellent. It consistently provides high quality results, is easy for non-technical users to adopt, and keeps getting better with new capabilities. Deep Research has become a go-to tool for our Marketing teams, and the agent functionality makes it simple to build Q&A experiences on top of our content and automate repetitive testing tasks. 1) Deep Research 2) Agent & Workflow Capabilities 3) Ease of use and UX 4) Fast pace of innovation
Read Full Review
Prompt sensitivity - output quality can vary depending on prompt structure and clarity. Model updates - changes or depreciations require ongoing maintenance and testing. Cost management - usage-based pricing requires careful monitoring at scale.
Read Full ReviewTight rate limits, more elaborate documentation on how to use the service in the most cost effective way.
Read Full ReviewThe biggest issue is the support model and overall enterprise experience. Response times and depth of answers can be hit or miss, and interacting with support often feels transactional rather than like a long term partnership. It sometimes feels as if enterprise needs are secondary to the core product roadmap. 1) Support quality and responsiveness 2) Enterprise readiness and expectations 3) Limited proactive guidance 4) Occasional rough edges around new features
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Peer Discussions
OpenAI API Reviews and Ratings
- 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. - Director<50M USDIT ServicesReview Source
Open API Eases AI Integration But Scaling Costs And Tuning Remain Challenges
My overall experience with Open API has been very positive. It's a powerful & flexible platform for adding AI features like text generation, chat, automation, etc into our applications. Open API is easy to integrate & works very well once set up properly. What worked well: Its clear documentation & simple REST APIs make it quick to get started. Open APIs are generally accurate, context aware & useful in real world applications. What hasn't worked well: API usage can become expensive if not carefully monitored or optimized, especially when we scale up. For consistent & reliable outputs it often requires prompt tuning. The API is very powerful, But it is not always a complete replacement for custom machine learning models as some specialize use case still require extra logic for fine tuning. - DATA AND ANALYTICS MANAGER50M-1B USDConsumer GoodsReview Source
Automatización y prototipado rápido con OpenAI API, limitaciones y costo presentes
Considero que OpenAI API es una de las opciones más potentes, accesibles y prácticas para incorporar capacidades de IA en aplicaciones o proyectos profesionales actualmente, sin embargo, no es una solución mágica y hay que tener cuidado al usarla. - ENGINEER50M-1B USDSoftwareReview Source
Frequent Model Updates Appreciated but Metrics Clarity Needed in OpenAI API
We have been using the OpenAI API for about the last 6 months across our applications now, and the overall experience with both the tool and vendor has been excellent. There have been almost little to no issues that we have faced while using Open API till now.