API access to OpenAI models for text, image, audio and embeddings
The OpenAI Platform is the developer side of OpenAI: API keys, model endpoints, a playground and billing for the models that also power its consumer apps. Developers use it for text and vision generation, structured JSON output, embeddings, image creation, speech transcription and speech synthesis, all through one account with per-project keys and spend limits. Fine-tuning and retrieval tooling cover cases where prompting alone is not enough. There is no free API tier, so a prototype costs money from the first request.
Last updated: 2026-09-20. This site only provides an index; for exact features, pricing, and licensing, see the official website.
ai product development, api integration, embeddings and search, speech and vision features
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They are separate products with separate billing. The API gives raw model access for your own software, while the chat app is a finished product. Subscribing to one does not include the other, and API usage is charged by tokens consumed.
Set project-level spend and rate limits before launching, log token usage per request, and choose a smaller model where quality allows. Batch and caching options reduce cost for large repetitive jobs, but they need code changes to use.
Not entirely. Models get updated, renamed and retired on a published schedule, so pinning a version and watching deprecation notices is part of running a production integration. Plan for occasional prompt re-testing.
Developer console and API keys for the Claude model family
Node-based local interface for running image and video diffusion models
Browser playground for prompting and prototyping with Gemini models
Hosted Jupyter notebooks with optional free GPU and TPU runtimes