You can access the LLM Benchmark Aggregator - Model Comparison programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = { "urls": ["https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard"] }
9
10# Run the Actor and wait for it to finish
11run = client.actor("tropical_quince/llm-benchmark-aggregator").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
15for item in client.dataset(run["defaultDatasetId"]).iterate_items():
16    print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

LLM Benchmark Aggregator - AI Model Scores API in Python

The Apify API client for Python is the official library that allows you to use LLM Benchmark Aggregator - Model Comparison API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

LLM Benchmark Aggregator - Model Comparison API in JavaScript

LLM Benchmark Aggregator - Model Comparison API through CLI

LLM Benchmark Aggregator - Model Comparison OpenAPI definition

LLM Benchmark Aggregator - Model Comparison API

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Fast and easy way to extract data from any webpage and are LLM friendly. The tool lets you easily extract content from any website. Ideal for researchers, marketers, and developers.