Model comparison

You can send the same request to two specific text models of your choice and compare the results.

Just select two models from the Text Models (LLM) list, copy their Model IDs, and paste them into the Specify the models to compare section of this code example as the values for model1 and model2.

Don't forget to also insert your LAPLAS API Key instead of <YOUR_LAPLASAPI_KEY>:

Python

import requests
from openai import OpenAI

# API credentials
BASE_URL = "https://api.apilaplas.com/v1"
# insert your LAPLAS API Key instead of <YOUR_LAPLASAPI_KEY>:
API_KEY = "<YOUR_LAPLASAPI_KEY>"

# Specify the models to compare
model1 = "gpt-4o"
model2 = "MiniMax-Text-01"

def generate_joke(model):
    client = OpenAI(base_url=BASE_URL, api_key=API_KEY)
    
    system_prompt = "You are an AI assistant that only responds with jokes."
    user_prompt = "Why did the programmer break up with their keyboard?"
    
    response = client.chat.completions.create(
        messages=[
            {"role": "system", "content": system_prompt},
            {"role": "user", "content": user_prompt},
        ],
        model=model,
    )
    
    return response.choices[0].message.content

def main():
    for model in [model1, model2]:
        joke = generate_joke(model)
        print(f"--- {model} ---")
        print(f"USER: Why did the programmer break up with their keyboard?")
        print(f"AI  : {joke}")

if __name__ == "__main__":
    main()

JavaScript

import fetch from "node-fetch";

// API credentials
const BASE_URL = "https://api.apilaplas.com/v1";
const API_KEY = "<YOUR_LAPLASAPI_KEY>";

// Specify the models to compare
const model1 = "gpt-4o";
const model2 = "MiniMax-Text-01";

async function generateJoke(model) {
    const systemPrompt = "You are an AI assistant that only responds with jokes.";
    const userPrompt = "Why did the programmer break up with their keyboard?";

    const response = await fetch(`${BASE_URL}/chat/completions`, {
        method: "POST",
        headers: {
            "Content-Type": "application/json",
            "Authorization": `Bearer ${API_KEY}`
        },
        body: JSON.stringify({
            model,
            messages: [
                { role: "system", content: systemPrompt },
                { role: "user", content: userPrompt }
            ]
        })
    });
    
    const data = await response.json();
    return data.choices[0].message.content;
}

async function main() {
    for (const model of [model1, model2]) {
        const joke = await generateJoke(model);
        console.log(`--- ${model} ---`);
        console.log("USER: Why did the programmer break up with their keyboard?");
        console.log(`AI  : ${joke}`);
    }
}

main().catch(console.error);

In our example run, we received the following output:

--- gpt-4o ---
USER: Why did the programmer break up with their keyboard?
AI  : Because it just wasn't their type!
--- MiniMax-Text-01 ---
USER: Why did the programmer break up with their keyboard?
AI  : Because it kept hitting the wrong keys!