OpenAI Models
OpenAI models power next-gen AI experiences with advanced language understanding and generation.
OpenAI o1-mini
o1-mini by OpenAI provides high-performance reasoning and coding capabilities. Ideal for developers and businesses seeking advanced AI without the high costs.
OpenAI o1-preview
o1-preview by OpenAI, is a powerful AI model that can tackle complex problems with exceptional accuracy and efficiency. Ideal for researchers, developers, and scientists seeking advanced AI capabilities.
Text Embedding 3 Small
Text-embedding-3-small is a compact and efficient model developed for generating high-quality text embeddings. These embeddings are numerical representations of text data, enabling a variety of natural language processing (NLP) tasks such as semantic search, clustering, and text classification
Text Embedding 3 Large
Text-embedding-3-large is a robust language model by OpenAI designed for generating high-dimensional text embeddings for a wide range of natural language processing (NLP) tasks including semantic search, text clustering, and classification.
GPT 4 turbo
GPT-4 outperforms both previous large language models and as of 2023, most state-of-the-art systems (which often have benchmark-specific training or hand-engineering). On the MMLU benchmark, an English-language suite of multiple-choice questions covering 57 subjects, GPT-4 not only outperforms existing models by a considerable margin in English, but also demonstrates strong performance in other languages. Currently points to gpt-4-turbo-2024-04-09.
GPT 4o
GPT-4o (“o” for “omni”) is our most advanced model. It is multimodal (accepting text or image inputs and outputting text), and it has the same high intelligence as GPT-4 Turbo but is much more efficient—it generates text 2x faster and is 50% cheaper. Additionally, GPT-4o has the best vision and performance across non-English languages of any of our models. GPT-4o is available in the OpenAI API to paying customers.
GPT 4
GPT-4 outperforms both previous large language models and as of 2023, most state-of-the-art systems (which often have benchmark-specific training or hand-engineering). On the MMLU benchmark, an English-language suite of multiple-choice questions covering 57 subjects, GPT-4 not only outperforms existing models by a considerable margin in English, but also demonstrates strong performance in other languages.