LLM: review, pricing, data and alternatives

What is LLM?

LLM lets developers query and chat with local or remote models from the terminal. It stores conversations in SQLite, produces structured data from text and images, and calculates and stores embeddings.

According to its documentation, LLM lets you:

• query models from the terminal
• chat with local or remote models
• store conversations in a SQLite database
• produce structured data from text and images
• calculate and store vector representations

We file it under Developer tools, the category of tools to test, document and ship software, and it also overlaps with local LLM tools. The category lists 31 verified tools on this site.

The service launched in 2023, which gives it some track record.

Who is it for?

It is mostly useful to these profiles: developers, researchers, and data analysts. The need it covers is simple to state: test, document and ship software.

LLM is a good candidate if:

• you want to try before paying
• you plan to connect it to your tools or automations through its API
• you want to read the code or host it yourself

Before deciding, run a trial on a real task and measure the time saved: it is the only criterion that really counts.

How much does LLM cost?

Pricing model: open source (public code). Basic use costs nothing.

To estimate what the same work would cost done directly with an AI model, use our API price calculator. Prices change often: always check the official site before subscribing.

Data and privacy

The publisher does not clearly state where data is hosted. Assume your content may leave your region.

For professional use, check that a data processing agreement (DPA) is offered, and do not send customers' personal data or confidential documents without one.

Exporting your content: JSON, Markdown, SQLite. Being able to get your data back makes switching tools easier later.

Three habits apply to every AI tool:

• turn off the use of your content for training if the option exists
• use a work account separate from your personal account
• review everything the tool produces before publishing or sending it

Platforms, languages and API

LLM runs on: Windows, macOS, and Linux.

Interface languages: English.

A public API lets you call it from your own programs or an automation tool, and plug it into an AI agent.

The source code is public: simonwsimonw/llm.

How we scored it

Our 58/100 score does not judge output quality: it measures what can be publicly verified about access to the tool, its openness and how far the publisher can be trusted.

The full calculation is explained on our method page.

Comparison with alternatives

LLM against other tools in the developer tools category: