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GPT-4-O-Mini First Impression
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Increasing access to intelligence is a top priority for OpenAI. The GPT-4o mini is one of the most cost-effective compact models to be introduced. I expect the GPT-4o mini to significantly expand the range of AI applications by lowering the cost of intelligence. The GPT-4o Mini currently outperforms the GPT-4 on chat preferences and scores 82% on MMLU. It is priced at 15 cents per million input tokens and 60 cents per million output tokens, which is an order of magnitude more affordable than previous frontier models and over 60% less expensive than GPT-3.5 Turbo.
The low cost and latency of the GPT-4o mini make it possible to perform a wide variety of tasks. These tasks include applications that chain or parallelize multiple model calls (e.g., calling multiple APIs), pass a significant amount of context to the model (e.g., full code base or conversation history), or interact with customers through fast, real-time text responses (e.g., customer support chatbots).
The low cost and latency of the GPT-4o mini make it possible to perform a wide variety of tasks. These tasks include applications that chain or parallelize multiple model calls (e.g., calling multiple APIs), pass a significant amount of context to the model (e.g., full code base or conversation history), or interact with customers through fast, real-time text responses (e.g., customer support chatbots).