In a recent update, OpenAI has unveiled a new model called GPT-4o Mini. This model promises to be free, fast, and surprisingly effective, closely mirroring the capabilities of GPT-4. In this review, I'll be putting GPT-4o Mini through various practical prompts to see how it stacks up against the existing GPT-4 model. Additionally, I'll discuss the significant changes OpenAI has made to its model lineup and their implications for developers and business owners utilizing GPT APIs.
When you log into ChatGPT, you'll now find three models to choose from. For API users, there are some pivotal updates, which I'll explain shortly.
GPT-4 continues to be the premier model, offering unparalleled speed and intelligence. Previously, running out of credits on GPT-4 would drop you back to GPT-3.5, which is now obsolete. Instead, you'll now switch to GPT-4o Mini.
GPT-4o Mini is a lighter, faster alternative compared to GPT-4. Despite being free, it maintains the substantial 128k context window, matching GPT-4. This extensive context window allows for thorough and coherent conversations, as it can remember an entire novel-length input.
According to recent tests, GPT-4o Mini is remarkably comparable to GPT-4 in various tasks and significantly outperforms other small models such as Google Gemini Flash and Claude Haiku.
To compare the practical output of GPT-4 and GPT-4o Mini, I tested them with a marketing example. Here are the highlights:
GPT-4o Mini outpaced GPT-4 considerably, showing substantial improvement in response time.
GPT-4 offered better formatting with bold headings and cleaner structuring, whereas GPT-4o Mini provided a comparable, albeit simpler, output.
A complex, page-long prompt was used to test both models. The results:
Both models performed identically, following through instructions without missing crucial details. This suggests that GPT-4o Mini can handle complex prompts effectively, provided they are within a page in length.
I tasked both models with summarizing a lengthy article into concise LinkedIn posts.
Both versions produced coherent summaries with appropriate detail. There was no major difference in their ability to extract and compress useful information.
A classic handshake problem was used to test logic and reasoning.
GPT-4o Mini computed the answer correctly, identical to GPT-4. Both models demonstrated strong logical capabilities.
Repurposing a lengthy YouTube transcript into actionable LinkedIn posts:
GPT-4o Mini performed better in this test, maintaining accuracy and incorporating hashtags effectively.
While promising, GPT-4o Mini does have its constraints:
GPT-4o Mini is a robust, free alternative for many practical applications, especially for general writing and content summarization. However, for complex tasks like coding and data analysis, GPT-4 or Claude 3.5 Sonet remain superior.
For further resources and updates, consider checking out SkillShare's updated AI courses, which cover prompt techniques and new model functionalities.
What is GPT-4o Mini?
Is GPT-4o Mini free?
How does GPT-4o Mini compare to GPT-4?
What is the context window for GPT-4o Mini?
Why should developers switch to GPT-4o Mini?
What are the limitations of GPT-4o Mini?
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