OpenAI goes lite, releases cheaper AI model called GPT-4o mini

OpenAI announced on Thursday the release of GPT-4o mini, a lite version of its flagship artificial intelligence model, GPT-4o. The company said the new smaller model is its most cost-efficient model yet, costing 60% less than GPT-3.5 Turbo.

Also read: ChatGPT-powered teddy bear Poe reads bedtime stories to kids

OpenAI said GPT-4o mini aims to make the startup’s AI technology “much more affordable,” climate-friendly, and available to everyone. The model became available to free users of ChatGPT, paying Plus and Team subscribers starting July 18. Enterprise users will gain access starting next week, it said.

OpenAI says GPT-4o mini beat rivals on major benchmarks

According to OpenAI CEO Sam Altman, GPT-4o mini costs 15 cents per million input tokens and 60 cents per million output tokens, making it more than 60% cheaper than GPT-3.5 Turbo. He said the new model costs 100 times less than text-davinci-003.

In an X post (formerly Twitter), Altman described the ChatGPT-4o mini as “technology too cheap to meter.”

In a blog post, OpenAI said GPT-4o mini outperforms the GPT-4 model on chat preferences and scored 82% on Massive Multitask Language Understanding (MMLU). MMLU measures the intelligence and reasoning capabilities of language models on text. A higher score means it can understand and use language proficiently in aspects of real life.

By comparison, Google’s Gemini Flash scored 77.9% on the MMLU test and Anthropic’s Claude Haiku 73.8%, OpenAI detailed. GPT-4o mini, which has knowledge up to October 2023, also beat its closest competitors on math and coding tasks.

GPT-4o mini gets new safety measures

OpenAI said the mini model has new safety features to resist jailbreaks and so-called prompt injections. It explained that the safety features improve the reliability of the model’s responses and increase safety in large-scale applications.

Also: OpenAI Lines up GPT-4 Successor Amid Safety Concerns

GPT-4o mini is currently available as a text and vision model in the API or application programming interface. Support for text, image, video and audio inputs and outputs would be made available in the future.


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