The ecosystem of libraries, tutorials, and third-party integrations built around OpenAI's API is unmatched — every framework has an OpenAI adapter
+158
Function calling and structured outputs make it practical to integrate LLM responses into typed TypeScript applications reliably+143
The Assistants API with file search and code interpreter handles complex RAG use cases without building your own vector database setup+128
Cons
Pricing for GPT-4 class models is high enough that a popular app with heavy AI usage can burn through thousands of dollars quickly+186
Vendor dependency on a single company for a critical product feature is risky — rate limits and outages have impacted production apps+162
Context window costs mean long conversations or large document analysis gets expensive fast compared to alternatives like Gemini Flash+138
The Assistants API is complex and has inconsistent behavior — many teams end up building their own simpler orchestration layer on top of the Chat API+112
