When choosing which GPT-4 model to use, there are several main considerations:
Context (some models have context windows as low as 8k, while others have context windows as high as 128k)
Knowledge cutoff (some models are continuously trained on updated information, which makes them perform better on certain tasks)
Cost (costs vary across different models; OpenAI's latest GPT-4 Turbo model is cheaper than previous GPT-4 models, and you can learn more on OpenAI's pricing page)
Feature set (some models offer new features such as JSON mode, reproducible outputs, parallel function calling, etc.)
Rate limits (different models have different rate limits; please check the limits page for more details on the limits for each model) |