# Model ID Cheatsheet

> Use this tool when you need to identify, compare, or recommend AI models from multiple providers, such as OpenAI, Google, and others. It solves problems of model discovery, version management, and pricing research by providing accurate and up-to-date API model identifiers, specifications, and deprecation status. The Model ID Cheatsheet takes model names or tasks as input and outputs exact model IDs, comparisons, and recommendations, making it ideal for AI developers and researchers working with various AI services.

Canonical page: https://skillsregistry.net/skills/model-id-cheatsheet  
JSON: https://api.skillsregistry.net/v1/skills/model-id-cheatsheet

## Description

A universal AI model registry that provides accurate, current API model identifiers, pricing information, and specifications across multiple providers including OpenAI, Anthropic, Google, xAI, Mistral, DeepSeek, and others. Offers tools to look up exact model IDs, compare models side-by-side, get task-based recommendations, and check deprecation status. Data is updated daily via automated scraping of public documentation.

## Trust

- **Trust score (0–1):** 0.78
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/model-id-cheatsheet)
- **Repository:** <https://github.com/aezizhu/model-id-cheatsheet>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "model-id-cheatsheet"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/model-id-cheatsheet` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/model-id-cheatsheet/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt