LLM API Price Radar
Pricing
Pay per usage
LLM API Price Radar
Benchmark every frontier model: prompt/completion USD per 1M tokens, context window, provider and modality in one table. Cost-engineering radar for agent builders and finance leads.
LLM API Price Radar
Pricing
Pay per usage
Benchmark every frontier model: prompt/completion USD per 1M tokens, context window, provider and modality in one table. Cost-engineering radar for agent builders and finance leads.
You can access the LLM API Price Radar 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 API & Integrations in Apify Console.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = {}9
10# Run the Actor and wait for it to finish11run = client.actor("unrivaled_fortress/llm-api-price-radar").call(run_input=run_input)12
13# Fetch and print Actor results from the run's dataset (if there are any)14print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")15for item in client.dataset(run.default_dataset_id).iterate_items():16 print(item)17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use LLM API Price Radar API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: