API: Compare LLMs: GPT4o, Claude3, Gemini 1.5 Pro, LLaMA3 vs Mixtral


📖 To learn more, take a look at our complete API

📤 Example Request

  1. Generate an api key below👇

  2. Install node-fetch & add the GOOEY_API_KEY to your environment variables.
    Never store the api key in your code and don't use direcly in the browser.

$ npm install node-fetch
$ export GOOEY_API_KEY=sk-xxxx
  1. Use this sample code to call the API.
    If you encounter any issues, write to us at [email protected] and make sure to include the full code snippet and the error message.
import fetch from 'node-fetch';

const payload = {
  "input_prompt": "In terms of coolness, what are the top 5 {{product}} makers who sell in the US? Answer as a ranked list of {{product}} makers and do not give any qualifications or explanations.\nEg. \n1. {{product}} maker 1\n2. {{product}} maker 2\n\u2026",
  "selected_models": [
    "gpt_4_turbo",
    "llama3_8b",
    "mixtral_8x7b_instruct_0_1",
    "gemini_1_pro",
    "claude_3_opus"
  ]
};

async function gooeyAPI() {
  const response = await fetch("https://api.gooey.ai/v2/CompareLLM/", {
    method: "POST",
    headers: {
      "Authorization": "Bearer " + process.env["GOOEY_API_KEY"],
      "Content-Type": "application/json",
    },
    body: JSON.stringify(payload),
  });

  if (!response.ok) {
    throw new Error(response.status);
  }

  const result = await response.json();
  console.log(response.status, result);
}

gooeyAPI();
  1. Generate an api key below👇

  2. Install requests & add the GOOEY_API_KEY to your environment variables.
    Never store the api key in your code.

$ python3 -m pip install requests
$ export GOOEY_API_KEY=sk-xxxx
  1. Use this sample code to call the API.
    If you encounter any issues, write to us at [email protected] and make sure to include the full code snippet and the error message.
import os
import requests

payload = {
    "input_prompt": "In terms of coolness, what are the top 5 {{product}} makers who sell in the US? Answer as a ranked list of {{product}} makers and do not give any qualifications or explanations.\nEg. \n1. {{product}} maker 1\n2. {{product}} maker 2\n…",
    "selected_models": [
        "gpt_4_turbo",
        "llama3_8b",
        "mixtral_8x7b_instruct_0_1",
        "gemini_1_pro",
        "claude_3_opus",
    ],
}

response = requests.post(
    "https://api.gooey.ai/v2/CompareLLM/",
    headers={
        "Authorization": "Bearer " + os.environ["GOOEY_API_KEY"],
    },
    json=payload,
)
assert response.ok, response.content

result = response.json()
print(response.status_code, result)
  1. Generate an api key below👇

  2. Install curl & add the GOOEY_API_KEY to your environment variables.
    Never store the api key in your code.

export GOOEY_API_KEY=sk-xxxx
  1. Run the following curl command in your terminal.
    If you encounter any issues, write to us at [email protected] and make sure to include the full curl command and the error message.
curl https://api.gooey.ai/v2/CompareLLM/ \
  -H "Authorization: Bearer $GOOEY_API_KEY" \
  -H 'Content-Type: application/json' \
  -d '{
  "input_prompt": "In terms of coolness, what are the top 5 {{product}} makers who sell in the US? Answer as a ranked list of {{product}} makers and do not give any qualifications or explanations.\nEg. \n1. {{product}} maker 1\n2. {{product}} maker 2\n\u2026",
  "selected_models": [
    "gpt_4_turbo",
    "llama3_8b",
    "mixtral_8x7b_instruct_0_1",
    "gemini_1_pro",
    "claude_3_opus"
  ]
}'

🎁 Example Response

{4 Items
"id"
:
string
"69oa3gmoxsuk"
"url"
:
string
"https://gooey.ai/compare-large-language-models/"
"created_at"
:
string
"2024-05-01T18:16:42.168615+00:00"
"output"
:
{1 Items
"output_text"
:
{5 Items
"llama3_8b"
:
[
]1 Items
"gpt_4_turbo"
:
[
]1 Items
"gemini_1_pro"
:
[
]1 Items
"claude_3_opus"
:
[
]1 Items
"mixtral_8x7b_instruct_0_1"
:
[
]1 Items
}
}
}

Please Login to generate the $GOOEY_API_KEY