Model ID Cheatsheet FAQs

Question 1

What is the Model ID Cheatsheet?

Accepted Answer

The Model ID Cheatsheet is a lightweight, Go-based tool that provides AI coding agents with instant, accurate API model IDs, pricing, and specifications for over 46 LLMs across 7 major providers, preventing hallucinations caused by outdated model names.

Question 2

How does it prevent AI coding agents from hallucinating?

Accepted Answer

It provides your AI agent with dedicated tools (e.g., `get_model_info`, `check_model_status`) that it can call to look up the correct, current model IDs and details before writing code, ensuring it uses verified, up-to-date information.

Question 3

Which AI coding agents and platforms does it integrate with?

Accepted Answer

It integrates directly as a plugin for Claude Code and supports direct Model Context Protocol (MCP) connections with Cursor, Windsurf, Codex CLI, OpenCode, and any generic MCP client.

Question 4

What kind of model information does it provide?

Accepted Answer

It offers exact API model IDs, current pricing, context window sizes, capabilities, and status (current, legacy, or deprecated) for models from providers like OpenAI, Anthropic, Google, xAI, Meta, Mistral, and DeepSeek.

Question 5

Is the model data always current?

Accepted Answer

Yes, the Model ID Cheatsheet automatically checks and updates its model data weekly via a GitHub Actions workflow, querying each provider's API to ensure accuracy and reflect the latest changes in models, pricing, and status.

Model ID Cheatsheet

Model ID Cheatsheet

Key Features

Use Cases

Key Features

Use Cases