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AIMLAPI

AIMLAPI is an AI model gateway that exposes more than 1000 models through one API.

Developers call chat, reasoning, code, image, video, audio, voice, music, embedding, 3D generation, OCR and moderation models from a single account and receive one bill. An AI Playground lets people try models before…

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AIMLAPI is an AI model gateway that exposes more than 1000 models through one API. Developers call chat, reasoning, code, image, video, audio, voice, music, embedding, 3D generation, OCR and moderation models from a single account and receive one bill. An AI Playground lets people try models before writing code, and a hosted MCP server at mcp.aimlapi.com lets agent clients list models, run chat completions or check balances after signing in. Listings show each model's type and per-token price.

It fits developers, startups and engineering teams that want to test or switch between model providers without maintaining separate integrations and invoices. Product teams comparing latency and cost across vendors can use the catalog to shortlist options, and solo builders can prototype with many modalities under one key. Teams scaling usage can move to enterprise arrangements, while hobbyists can begin in the playground before adding an API key.

Typical use cases include building a chat assistant that can swap its underlying model, adding image or video generation to an app through the same gateway, running embeddings for search, applying OCR to documents, and connecting coding agents and editors such as Cursor through MCP. Companies can benchmark newly released models soon after launch, since the catalog shows recent additions with their endpoints and pricing, and route workloads to cheaper models where quality allows. Because one key reaches many providers, engineers can run side-by-side tests, keep fallbacks ready if a model is retired, and watch spending in a single dashboard rather than reconciling invoices from several vendors.

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Frequently asked

6 questions
What does AIMLAPI provide?
It offers one API endpoint for 1000+ AI models. Types include chat, reasoning, code, image, video, voice, music, embeddings, 3D generation, OCR and moderation.
Who should use AIMLAPI?
Developers, startups and product teams that need several model providers behind one integration. It also suits teams comparing model cost and latency before committing.
What can be built with it?
Examples include chat assistants with swappable models, apps that generate images or video, embedding-based search, and OCR pipelines. All calls go through the same API key.
How is usage billed?
Usage is billed through a single account, and each model listing shows its price per million tokens or per generation. Enterprise arrangements are available for larger needs.
What is a limitation of using a gateway like AIMLAPI?
Model availability and prices vary per listing, and some newly listed models show limited details. Teams should check each model's page for endpoint type and rates.
How do developers connect agent clients?
AIMLAPI runs an MCP server at mcp.aimlapi.com using Streamable HTTP. Clients sign in through OAuth or send an API key as a bearer header, and Cursor and command-line agent clients are supported.

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