The cost structures are different for developers. From the very beginning, OpenAI has determined the costs for developers based on how intensively the AI is used.
After the AI technology has been integrated into the forex dataset development environment via the API (Application Programming Interface) , the costs are calculated per one million input and per million output tokens.
The best and most efficient are the GPT-4 Turbo models. Fortunately, all GPT-4 Turbo models have the same and cheapest price: $10 per million input tokens and $30 per million output tokens. The prices for the older GPT-4 models, which are still supported by OpenAI, are as follows:
This cost breakdown shows that some of the older versions are weaker than GPT-4 Turbo, but their price has not changed. When you consider that OpenAI's new high-performance LLM significantly undercuts the cost of GPT-4 Turbo while providing higher performance, we definitely recommend developers to upgrade to GPT-4o if possible .
You can find more information about GPT-4o in our blog post about GPT-4o . The new AI model GPT-4o Mini is also interesting for developers. It is the inexpensive entry-level model for cost-conscious developers. The GPT-4o Mini replaces the previous entry-level model GPT-3.5 Turbo with higher performance and lower costs.