You've seen names like GPT-4 Turbo, Gemini Ultra, and Claude Opus. But these names mean different things for different companies!
Each AI company has its own naming system - let's decode them for smarter development decisions.
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Which model names have confused you when choosing coding assistants?
OpenAI is notorious for using confusing model names. They have different families of models the two main ones being the GPT family and the o family which is short for omnious.
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Have you used the o family for complex coding problems?
In the GPT family, early versions of coding assistants used GPT 3.5. Now GPT-4o and GPT-4.1 have become dramatically faster and smarter. The GPT family is known for offering cutting edge combination of speed, cheaper cost, and fairly high code intelligence.
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If you've used any of them, which is your favorite model?
Then comes the o family, these ones are reasoning models (we'll talk more about this in the future) but they are known to be far more intelligent than the models in the GPT family but they are more expensive and much slower.
So for tasks where high accuracy in complex algorithms is very important while you can afford to wait, using a model like o3 is the best choice.
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Have you tried any of the models for debugging complex code?
