ChatGPT-4o
VS
o1-mini

Conclusion

These tests are the hardest we've thrown at any model - especially the coding part. And as you can see - one of the two models is always ready to solve the tasks you provide. We'd recommend ChatGPT-4o for more straight-forward tasks, and o1-mini for convoluted STEM stuff, or tasks requiring high output.

Pricing

This time o1-mini is more expensive, which isn't easy to achieve when comparing with gpt-4o. Input prices are similar, with output being higher by around 20% for o1-mini.

Compare for yourself

You've seen these models in action. Now it's your turn to test them for your specific needs. Copy the code below into Google Colab or your preferred coding environment, add your API key, and start experimenting!

import openai
import requests

def main():
    client = OpenAI(
      api_key=aiml_api_key,
      base_url="https://api.aimlapi.com",
    )

    # Specify the two models you want to compare
    model1 = 'gpt-4o-2024-08-06'
    model2 = 'o1-mini' 
    selected_models = [model1, model2]

    user_prompt = 'Why is the sky blue?'
    results= {}
    
    for model in selected_models:
        try:
            response = client.chat.completions.create(
                model=model,
                messages=[
                    {'role': 'user', 'content': "who is strong?"}
                ],
                max_tokens=2000,
            )
            print(response)
            message = response.choices[0].message.content
            results[model] = message
        except Exception as error:
            print(f"Error with model {model}:", error)

    # Compare the results
    print('Comparison of models:\n')
    print(f"{model1}:\n{results.get(model1, 'No response')}")
    print('\n')
    print(f"{model2}:\n{results.get(model2, 'No response')}")

if __name__ == "__main__":
    main()

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Conclusion

O1-mini proves to be the more capable model for tasks requiring complex reasoning, math problem-solving, and precise coding. It consistently performs better across benchmarks and practical tests. However, GPT-4o shows strength in coding tasks with less complex designs, excelling in tasks like HTML/CSS sliders and simpler coding scenarios. The choice between these models depends on the nature of the task: o1-mini for advanced logic and problem-solving, and GPT-4o for general knowledge and simpler coding tasks.

You can access both o1-mini and the latest snapshot of ChatGPT-4o API, or see our full model lineup here - try for yourself, and get a feel for the frontier AI power!

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Also check other comparisons with these models:
ChatGPT-4o vs LLama 405B
ChatGPT-4o vs Sonnet 3.5
ChatGPT-4o vs Qwen2
ChatGPT-4o mini vs LLama 8B