AI/ML API

AI/ML API is a developer gateway to a large catalog of AI models from many providers through one OpenAI- and Anthropic-compatible API, with a playground, MCP server and pay-as-you-go billing.

What is AI/ML API?

AI/ML API (AIMLAPI) is a model gateway: one API key and one bill that give developers access to a large catalog of AI models from many providers. Its endpoints follow the OpenAI and Anthropic request formats, so switching an existing app over is mostly a matter of changing the base URL and the model name. The catalog spans chat and reasoning models, image, video, music and voice generation, embeddings, OCR, 3D and moderation models.

It is aimed at developers, startups and product teams who want to experiment with or ship features on several model families without signing up and paying separately with each provider.

Key Features of AI/ML API

Large multi-provider catalog

The site advertises more than 1,000 models, with the pricing page listing several hundred active ones from OpenAI, Anthropic, Google, xAI, DeepSeek, Mistral, Alibaba, ByteDance, Moonshot and many others.

Drop-in compatibility

Because requests use the familiar OpenAI and Anthropic schemas, existing SDK code can usually be reused with only an endpoint and key change.

Playground

A browser playground lets you try prompts against any model and compare results before writing integration code. Documentation pages for each model include ready-made request examples.

MCP server for agents

An official MCP endpoint connects AIMLAPI to Claude, Claude Code, Cursor and other MCP clients, so an agent can list models, run completions or check your balance.

Transparent per-model pricing

The pricing catalog shows input and output prices per million tokens, context window size and capabilities such as function calling, structured outputs, vision and web search, with filters to compare models.

AI/ML API Pricing

There is no monthly subscription. You add credit to your balance and each call is charged at the listed rate for the chosen model, while larger teams can negotiate an enterprise contract.

Prices checked on October 28, 2026; check the official pricing page for current plans.

Who Should Use AI/ML API?

Teams that are still deciding which model fits a feature benefit most, because they can benchmark several candidates through one integration and switch later without rewriting code.

AI/ML API is also useful for indie developers prototyping across model families, startups that want a fallback path when one provider has an outage or price change, and teams building multi-modal apps that combine text, image and video models. It also suits agent builders who want one MCP connection instead of several provider keys.

Is AI/ML API Worth It?

The main value is convenience: one key, one balance and a consistent API across a very wide range of models. Some listed rates match the original providers while others carry a small markup, so cost-sensitive teams should compare per-model prices before moving heavy production traffic. You also add a third party between your app and the model vendor, which matters for latency, data handling and support, so check the data-retention terms before sending sensitive information. For experimentation and multi-model products, the pay-as-you-go setup and playground make it an easy service to try.