What is Chat GPT 3.5 Turbo? Compare Chat GPT 3.5 Turbo and Whisper

What is ChatGPT 3.5 Turbo

ChatGPT 3.5 Turbo is a language model developed by OpenAI, which is an improved version of the GPT-3 (Generative Pre-trained Transformer 3) model. It is specifically designed to facilitate chat-based applications, such as chatbots and conversational agents.

ChatGPT 3.5 Turbo uses natural language processing techniques to generate human-like responses to user input, making it capable of carrying on a conversation with users in a realistic manner. The model is trained on a vast amount of text data and has the ability to understand the context of the conversation, allowing it to provide accurate and relevant responses.

OpenAI claims that ChatGPT 3.5 Turbo is their best model for many non-chat use cases as well, due to its advanced language capabilities. The model was released on March 1, 2023, and is priced at $0.002 per 1000 tokens, which is significantly lower than the previous GPT 3.5 models.

What is Whisper API

Whisper API is a speech-to-text API developed by OpenAI. It is designed to transcribe spoken audio into text in real-time. Whisper API uses advanced machine learning algorithms to recognize spoken words and convert them into text.

Whisper API was open-sourced in September 2022 and has been upgraded to a more powerful version 2. It accepts a variety of audio formats, including m4a, mp3, mp4, mpeg, mpga, wav, and webm. It can be accessed via transcription or translation endpoints provided by the organization, and is priced at $0.006 per minute.

Whisper API is especially useful for developers who want to add voice transcription capabilities to their applications. It can be integrated into various use cases such as voice-enabled assistants, automated transcription services, and real-time transcription for meetings and events.

Compare ChatGPT 3.5 Turbo and Whisper

After ChatGPT reached over 100 million users in less than 2 months, OpenAI (the company behind the chatbot service) announced that the organization will release ChatGPT to the public at a price 10 times cheaper than the original version’s predecessor version.

ChatGPT runs on OpenAI’s GPT 3.5 model, which is an upgrade of GPT 3. And the APIs (application programming interfaces) that OpenAI recently released to users are based on the company’s GPT 3.5 Turbo model, like the current ChatGPT model.

The new March 1 GPT 3.5 Turbo model is now priced at $0.002 per 1000 tokens, 10 times cheaper than OpenAI’s current GPT 3.5 models. OpenAI also says that GPT 3.5 Turbo is the company’s best model for many non-chat use cases, as the company has already seen the first customers move from GPT 3 (text-davinci-003) to GPT 3.5 Turbo (gpt-3.5-turbo) with just a small amount of tuning at their prompts.

Besides releasing its latest chat-based major language model, OpenAI also announced its latest Whisper AI model, which brings better speech-to-text capabilities to its latest API. me. Whisper, the speech-to-text model that was open-sourced back in September 2022 and upgraded to the more powerful version 2, is now available through OpenAI’s API.

The Whisper API can be accessed via transcription (transcribed in the source language) or translation (transliterated into English) endpoints provided by the organization and accepts a variety of formats (m4a, mp3, mp4, mpeg, mpga, wav, and webm). OpenAI has priced it at $0.006 per minute.

Model: The ChatGPT model family we are releasing today, gpt-3.5-turbo, is the same model used in the ChatGPT product. It is priced at $0.002 per 1k tokens, which is 10x cheaper than our existing GPT-3.5 models. It’s also our best model for many non-chat use cases—we’ve seen early testers migrate from text-davinci-003 to gpt-3.5-turbo with only a small amount of adjustment needed to their prompts.

API: Traditionally, GPT models consume unstructured text, which is represented to the model as a sequence of “tokens.” ChatGPT models instead consume a sequence of messages together with metadata. (For the curious: under the hood, the input is still rendered to the model as a sequence of “tokens” for the model to consume; the raw format used by the model is a new format called Chat Markup Language (“ChatML”).)