API: Compare LLMs: OpenAI, Nemotron, Deepseek, Claude, Gemini, Kimi vs GLM

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

📤 Example Request

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Generate an api key below👇
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

Use this sample code to call the API.
If you encounter any issues, write to us at support@gooey.ai 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": [
    "glm_5_3_flash",
    "gpt-6_astra",
    "nemotron_3_ultra",
    "minimax_m_3",
    "deepseek_v_4",
    "claude_fable_5_1",
    "muse_spark_1_3"
  ]
};

async function gooeyAPI() {
  const response = await fetch("https://api.gooey.ai/v2/compare-large-language-models", {
    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();

Generate an api key below👇
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

Use this sample code to call the API.
If you encounter any issues, write to us at support@gooey.ai 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": [
        "glm_5_3_flash",
        "gpt-6_astra",
        "nemotron_3_ultra",
        "minimax_m_3",
        "deepseek_v_4",
        "claude_fable_5_1",
        "muse_spark_1_3",
    ],
}

response = requests.post(
    "https://api.gooey.ai/v2/compare-large-language-models",
    headers={
        "Authorization": "bearer " + os.environ["GOOEY_API_KEY"],
    },
    json=payload,
)
assert response.ok, response.content

result = response.json()
print(response.status_code, result)

Generate an api key below👇
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

Run the following curl command in your terminal.
If you encounter any issues, write to us at support@gooey.ai and make sure to include the full curl command and the error message.

curl https://api.gooey.ai/v2/compare-large-language-models \
  -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": [
    "glm_5_3_flash",
    "gpt-6_astra",
    "nemotron_3_ultra",
    "minimax_m_3",
    "deepseek_v_4",
    "claude_fable_5_1",
    "muse_spark_1_3"
  ]
}'

🎁 Example Response

{4 Items"id":
string
"1lczulwsdafy"
"url":
string
"https://gooey.ai/compare-large-language-models/"
"created_at":
string
"2026-09-05T20:14:44.683160+00:00"
"output":
{1 Items"output_text":
{7 Items"gpt-6_astra":
[…
]1 Items
"minimax_m_3":
[…
]1 Items
"deepseek_v_4":
[…
]1 Items
"glm_5_3_flash":
[…
]1 Items
"muse_spark_1_3":
[…
]1 Items
"claude_fable_5_1":
[…
]1 Items
"nemotron_3_ultra":
[…
]1 Items
}
}
}

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