AI models

13 models behind the tools in this directory, grouped by what they handle.

This page lists 13 AI models, the engines that the tools in this directory are built on. By what they handle: text (4), multimodal (3), image (2), embedding (2), audio (1) and video (1). Published by DeepSeek, Black Forest Labs, Anthropic, Google DeepMind and OpenAI and others.

5 of the 13 carry an open licence, which means you can run them on your own hardware and inspect the weights. The rest are reached through an API, so the cost and the rate limits are set by whoever publishes them. The largest context window listed is 2,000,000 tokens, on Gemini 2.5 Pro.

Each model page records its publisher, modality, parameter count where it is public, licence and release date. Where a figure is not published, the page leaves it out rather than guessing.

Text models (4)

Multimodal models (3)

Image models (2)

Embedding models (2)

Audio models (1)

Video models (1)

Frequently asked questions

What is the difference between a model and an AI tool?
A model is the engine. A tool is the product built around one: the interface, the workflow and the billing. Several tools in this directory run on the same model.
What does an open licence actually allow?
5 of these models publish their weights under a licence that lets you download and run them yourself. The exact terms differ by model, including whether commercial use is allowed, so each model page records its own licence.
What is a context window?
The amount of text a model can consider at once, counted in tokens. A larger window lets you hand it a longer document or a longer conversation before it starts losing the earlier parts.
Why is a parameter count missing for some models?
Several publishers do not disclose it. Where the figure is not public, the page leaves it blank rather than printing an estimate.