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OpenAI Implements Price Drops and Resolves Issues with ‘Lazy’ GPT-4 for Improved Performance

OpenAI continues its trend of fine-tuning both its models and pricing structures, unveiling several new models and revising its API access costs in its latest update. Primarily catering to developers, these changes also offer insights into potential future options for the general consumer.

GPT-3.5 Turbo, widely embraced as an industry standard, particularly through platforms like ChatGPT, stands out as the go-to model for many. Not only is it a popular API, outpacing GPT-4 in terms of cost efficiency and speed on various tasks, but it also plays a crucial role in maintaining user satisfaction. The announcement brings good news for paying users, as input prices experience a 50% reduction and output sees a 25% drop, now priced at $0.0005 per thousand tokens in and $0.0015 per thousand tokens out.

As users increasingly leverage these APIs for text-centric applications such as comprehensive paper or book analyses, the cumulative effect of tokens becomes apparent. OpenAI, mindful of the evolving landscape where open source or self-managed models strive to match its performance, strategically lowers prices to retain its customer base. This price adjustment aligns with the ongoing process of refining models and enhancing infrastructure.

GPT-3.5 Turbo introduces a new model version, 0125, featuring “various improvements,” although specifics remain undisclosed. Noteworthy is the absence of detailed mentions compared to the last version, 0613. Additionally, GPT-4 Turbo unveils a new preview model for API use, also marked 0125, addressing issues of task completion “laziness” seen in its predecessor. This enhancement aims to ensure more thorough task fulfillment, signaling a proactive approach to refining AI behavior.

While still in preview mode, GPT-4 Turbo with vision (GPT-4 V) is slated for a general availability launch in the upcoming months, expanding OpenAI’s offerings further. The update also encompasses a selection of new and enhanced text embedding models, catering to the technical audience. Furthermore, the company introduces a revamped version of its free moderation API, now labeled version 007, designed to identify potentially harmful text. For those exploring moderation solutions, this updated API presents a valuable augmentation to their needs.

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