*This post was created with a self-made CustomGPT based on Sophie’s latest YouTube video. You can find the link to the video at the end of this article.
OpenAI’s new language models have been the subject of heated debate in recent weeks. Many people ask themselves: Which model is right for me? In addition to the familiar GPT 4.0 models, there are now also O3-Mini-High, O3-Mini and other alternatives such as DeepSeek. But what is behind these names and which model is suitable for which application?
The new OpenAI models at a glance
If you want to select a language model from OpenAI, the platform offers a brief description of the models and their strengths. An overview:
- O3 Mini High: Particularly strong in programming and logical thinking.
- O3 Mini: Faster in progressive thinking.
- GPT-4.0: Ideal for most applications.
- Mini: Faster processing for general questions.
This subdivision already provides a good guide for choosing the right model.
Which models are suitable for typical applications?
For most users, especially in business or general contexts, the classic GPT-4.0 is completely sufficient. This model offers:
- High-quality answers for classic questions and use cases.
- The ability to generate images.
- Functions such as uploading and processing documents.
When it comes to advanced logic or programming, the new models can be an advantage. But for many classic tasks – such as creating blog posts or business analyses – GPT-4.0 remains the best choice.
Practical test: Which models deliver the best results?
A test with a classic task – creating an outline for a blog post – showed interesting results:
- O3 Mini High took a very structured approach, but got bogged down in details.
- O3 Mini was solid, but not better than GPT-4.0.
- GPT-4.0 gave the fastest and best quality response.
GPT-4.0 was also able to generate images and process documents – a clear advantage for business applications.
DeepSeek as an alternative?
A brief comparison with DeepSeek produced mixed results:
- DeepSeek’s most advanced model simply “got stuck” in the test.
- The classic DeepSeek model provided a viable answer that was comparable to GPT-4.0.
Conclusion: When is a new model worthwhile?
The new OpenAI models are very interesting – especially for special applications such as programming or complex logic. However, if you mainly use classic applications in the business sector, you can stay with GPT 4.0 without hesitation.
In addition, there are currently restrictions on the use of the new models and additional costs may be incurred. If you want to experiment, you can test the new models – but for most, GPT-4.0 remains the best choice.
Any further questions?
Do you have any questions? I will be happy to support you, act as a sparring partner and answer your questions. I am always happy to receive your messages, preferably by WhatsApp message or e-mail.
