# Model ID Cheatsheet

> Use this tool when you need to identify and compare AI models from various providers, solving problems of model selection and integration by providing accurate API model IDs, pricing, and specs as input, and delivering a comprehensive cheatsheet as output, ideal for use cases requiring informed model choices and efficient development. It supports 46 models across 7 AI providers, streamlining the model evaluation process. Use it to inform architecture decisions and optimize AI implementations.

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

## Description

Accurate API model IDs, pricing, and specs for 46 models across 7 AI providers.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.aezizhu%2Fmodel-id-cheatsheet)
- **Repository:** <https://github.com/aezizhu/universal-model-registry>

## Use it

MCP endpoint published by the skill: `https://universal-model-registry-production.up.railway.app/sse`

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": "io-github-aezizhu-model-id-cheatsheet"
    }
  }
}
```

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