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• Latest model
• With broad general knowledge and domain expertise, GPT-4 can follow complex instructions in natural language and solve difficult problems with with greater accuracy.

• is more creative and collaborative than ever before. It can generate, edit, and iterate with users on creative and technical writing tasks, such as composing songs, writing screenplays, or learning a user’s writing style.

• Following the research path from GPT, GPT-2, and GPT-3, the deep learning approach leverages more data and more computation to create increasingly sophisticated and capable language models

• 6 months were spent making GPT-4 safer and more aligned.

• GPT-4 is 82% less likely to respond to requests for disallowed content and 40% more likely to produce factual responses than GPT-3.5 on our internal evaluations.

• Price list for GPT-44  (Multiple models, each with different capabilities and price points. Prices are per 1,000 tokens. You can think of tokens as pieces of words, where 1,000 tokens is about 750 words.)

  Model	Prompt	Completion
  8K context	$0.03 / 1K tokens	$0.06 / 1K tokens
  32K context	$0.06 / 1K tokens	$0.12 / 1K tokens

• GPT-4 models

  LATEST MODEL	DESCRIPTION	MAX TOKENS	TRAINING DATA
  gpt-4	More capable than any GPT-3.5 model, able to do more complex tasks, and optimized for chat. Will be updated with our latest model iteration.	8,192 tokens	Up to Sep 2021
  gpt-4-0314	Snapshot of gpt-4 from March 14th 2023. Unlike gpt-4, this model will not receive updates, and will only be supported for a three month period ending on June 14th 2023.	8,192 tokens	Up to Sep 2021
  gpt-4-32k	Same capabilities as the base gpt-4 mode but with 4x the context length. Will be updated with our latest model iteration.	32,768 tokens	Up to Sep 2021
  gpt-4-32k-0314	Snapshot of gpt-4-32 from March 14th 2023. Unlike gpt-4-32k, this model will not receive updates, and will only be supported for a three month period ending on June 14th 2023.	32,768 tokens	Up to Sep 2021

  
  

  For many basic tasks, the difference between GPT-4 and GPT-3.5 models is not significant. However, in more complex reasoning situations, GPT-4 is much more capable than any of our previous models.

• Limitation:

          GPT-4 is currently in a limited beta and only accessible to those who have been granted access. In order to use this API we need to join the waitlist to get access when capacity is available.

GPT-3.5 models can understand and generate natural language or code. Our most capable and cost effective model in the GPT-3.5 family is gpt-3.5-turbo which has been optimized for chat but works well for traditional completions tasks as well.

Recommendation to use gpt-3.5-turbo over the other GPT-3.5 models because of its lower cost.

Experimenting with gpt-3.5-turbo is a great way to find out what the API is capable of doing. After you have an idea of what you want to accomplish, you can stay with gpt-3.5-turbo or another model and try to optimize around its capabilities.

Note: OpenAI models are non-deterministic, meaning that identical inputs can yield different outputs. Setting temperature to 0 will make the outputs mostly deterministic, but a small amount of variability may remain.

• GPT-3 models can understand and generate natural language.
• These models were superceded by the more powerful GPT-3.5 generation models.
• However, the original GPT-3 base models (davinci, curie, ada, and babbage) are current the only models that are available to fine-tune.
• Fine-tuning mean to build and train our own data from one of GPT-3 Models