OpenAI, a frontrunner in AI language models, continues its trend of refining models and pricing structures. The latest developments include the introduction of new models and a noteworthy reduction in API access costs, primarily catering to developers while offering insights into future consumer options.
GPT-3.5 Turbo: A Benchmark Standard
GPT-3.5 Turbo, the go-to model for most interactions, notably through platforms like ChatGPT, has established itself as an industry benchmark. Positioned as a popular API due to its efficiency and affordability, it outpaces GPT-4 on various tasks. Paying users will be pleased to learn about a 50% reduction in input prices and a 25% decrease in output costs, now priced at $0.0005 per thousand tokens in and $0.0015 per thousand tokens out.
Addressing Token Accumulation Concerns
As users explore applications involving extensive text processing, such as analyzing papers or books, token usage becomes a critical consideration. OpenAI’s pricing adjustments aim to address this concern while ensuring customer retention in the face of emerging open-source or self-managed models that approach OpenAI’s performance levels.
GPT-3.5 Turbo Updates and Price Adjustments
GPT-3.5 Turbo’s latest version, 0125, released on today’s date, brings various improvements, although OpenAI provides limited details. Notably, the pricing adjustments align with ongoing efforts to streamline models and enhance infrastructure.
GPT-4 Turbo Preview Model Enhancements
GPT-4 Turbo introduces a new preview model (0125) for API use, specifically addressing issues with code generation. This update aims to mitigate instances of “laziness” in task completion, showcasing OpenAI’s commitment to refining model behavior. While still in preview mode, GPT-4 Turbo with Vision (GPT-4 V) is expected to launch to the general public in the coming months.
Text Embedding Models and Moderation API Updates
OpenAI has also rolled out new and improved text embedding models, catering to the technical audience. Additionally, a new version (007) of the free moderation API, designed to identify potentially harmful text, is now available for experimentation and integration into moderation workflows.