get_model
Get detailed information about a specific LLM model including pricing (input/output/blended per 1M tokens), speed metrics (tokens/sec, TTFT), and benchmark scores (Intelligence Index, Coding Index, MMLU-Pro, GPQA, etc.).
LABSCO SUMMARY
Two tools, one job: turning "which model should this run on" into numbers comparable in the same breath as the code that will call it.
The shape is list-then-detail. list_models narrows by creator and orders by price, speed or benchmark score; get_model fills in the full record for whichever candidate survived that cut. Nothing here calls a model — these are Artificial Analysis's published measurements, so the numbers are as current as that source and no more.
What it is
A read-only lookup over Artificial Analysis's model data, with a list-and-filter tool and a detail tool for a single named model.
What you get
- list_models returns available LLM models with pricing, speed and benchmark data, filtered by creator — OpenAI, Anthropic, Google among them.
- sort_by, sort_order and limit order that list by price, speed or benchmark score and cut it to the length you want to read.
- get_model returns a named model's pricing split into input, output and blended per 1M tokens, which is the shape a cost estimate actually needs.
- get_model also returns speed as tokens/sec and TTFT, alongside benchmark scores including Intelligence Index, Coding Index, MMLU-Pro and GPQA.
Requirements
An Artificial Analysis API key, supplied as AA_API_KEY.
Setup effort
One command plus a key — claude mcp add artificial-analysis -e AA_API_KEY=<YOUR_AA_API_KEY> -- npx -y artificial-analysis-mcp
USE CASES
01
Choosing a model to run a job on a budget
Narrow the field by who made it and order by price or benchmark score, then read the full record for the candidate that survives.
02
Answering what a model actually costs mid-implementation
Get the input, output and blended rates for the model already named in the code, without leaving the session to find a pricing page.
2 tools
Counted once with only startup setup. Other versions, modes or optional credentials may expose a different list.
list_models
List all available LLM models from Artificial Analysis with pricing, speed, and benchmark data. Filter by creator (OpenAI, Anthropic, Google, etc.) and sort by price, speed, or benchmark scores.
BEFORE YOU INSTALL
What to know first
Tools you get
2 tools when we connected. The README's "300+ LLM models" is the catalogue these two tools search, and names like price_input or speed are sort_by values for list_models, not tools.
Requires
- npx on PATH
- AA_API_KEY in your environment
Where it runs
The documented client runs the server on your machine.
CONTEXT COST
Light Standing cost
Rated by the size of the 2 tool definitions that ride along on every turn, not by how many there are
INSTALLATION
Connect your client
Server setup
TERMINAL
claude mcp add artificial-analysis -e AA_API_KEY=<YOUR_AA_API_KEY> -- npx -y artificial-analysis-mcpMCP Clients
Claude Code
CLAUDE CODE · JSON
{
"mcpServers": {
"artificial-analysis": {
"command": "npx",
"args": [
"-y",
"artificial-analysis-mcp"
],
"env": {
"AA_API_KEY": "<YOUR_AA_API_KEY>"
}
}
}
}
