DR 35
Access multiple AI models through one unified API, reducing integration complexity and accelerating AI application development.
AI API · 16 tools
Compare AI APIs and model gateways for adding LLMs, image generation, speech, and embeddings to your app — from single-provider endpoints to unified multi-model platforms.
An AI API is an HTTP endpoint you send a request to — a prompt, image, or audio — and get back a model's output, so you can add AI features without training or hosting models yourself. You authenticate with an API key and pay per token or per request. Some are single-provider (OpenAI, Anthropic, Google); others are gateways that route one request across many models.
Add chat, summarization, or vision to a product without running your own model infrastructure.
Test GPT, Claude, Gemini, and open models behind one gateway to pick the best fit per task.
Route requests to cheaper or faster models and fail over automatically when a provider goes down.
Wire function calling and tool use into agents, workflows, and backend jobs.
Your app sends an HTTPS request with an API key and a JSON payload — the prompt plus parameters like model and temperature — to the provider's endpoint. The model runs inference on their servers and returns the result, either all at once or streamed token by token. Gateways sit in front of several providers, translating one request format (often OpenAI-compatible) to whichever model you target and metering usage for billing.