Model ID Cheatsheet FAQs

Question 1

What kind of information and tools does it provide?

Accepted Answer

It delivers precise API IDs, pricing, context windows, and capabilities for each model. AI agents gain access to 6 programmatic tools: `get_model_info`, `list_models`, `recommend_model`, `check_model_status`, `compare_models`, and `search_models`. It also offers JSON dumps of current and all models.

Question 2

How does it help AI coding agents and assistants?

Accepted Answer

It stops AI agents from using deprecated or non-existent model names, automatically verifying model IDs before API calls. Agents can leverage its 6 dedicated tools to query, compare, recommend, and check the status of models, ensuring they always use the most current and optimal AI models for tasks.

Question 3

What is the Model ID Cheatsheet?

Accepted Answer

The Model ID Cheatsheet is a vital tool that provides AI agents with accurate, live, and auto-updated API model IDs, pricing, context windows, and capabilities for 94 models across 19 major AI providers. It prevents AI agents from hallucinating or using outdated model information.

Question 4

Which AI agents and platforms can integrate with it?

Accepted Answer

It integrates seamlessly as an MCP (Model Context Protocol) server. Compatible agents include Claude Code (recommended plugin), Cursor, Windsurf, Codex CLI, OpenCode, and any other MCP-compatible client. Direct SSE endpoint connection is also available.

Question 5

How frequently is the model data updated?

Accepted Answer

The Model ID Cheatsheet features daily, auto-updated data. This ensures your AI agents always have access to the very latest information, including new models, pricing changes, and the status (current, legacy, or deprecated) of all tracked models.

Model ID Cheatsheet

Model ID Cheatsheet

주요 기능

사용 사례

주요 기능

사용 사례