awacke1/GraphicAINovel · GPT Versions

Below are the model names for recent versions of GPT for coding reference. So far we have been running with 3.5 turbo. This change adjusts up to latest 4 preview version. This approach I have tested now with Llama, GPT, Mistral, Mixtral, Phi's MoE Phixtral, Grok, and a few others..

GPT-4 and GPT-4 Turbo
GPT-4 is a large multimodal model (accepting text or image inputs and outputting text) that can solve difficult problems with greater accuracy than any of our previous models, thanks to its broader general knowledge and advanced reasoning capabilities. GPT-4 is available in the OpenAI API to paying customers. Like gpt-3.5-turbo, GPT-4 is optimized for chat but works well for traditional completions tasks using the Chat Completions API. Learn how to use GPT-4 in our text generation guide.

MODEL DESCRIPTION CONTEXT WINDOW TRAINING DATA
gpt-4-0125-preview New GPT-4 Turbo
The latest GPT-4 model intended to reduce cases of “laziness” where the model doesn’t complete a task. Returns a maximum of 4,096 output tokens. Learn more. 128,000 tokens Up to Dec 2023
gpt-4-turbo-preview Currently points to gpt-4-0125-preview. 128,000 tokens Up to Dec 2023
gpt-4-1106-preview GPT-4 Turbo model featuring improved instruction following, JSON mode, reproducible outputs, parallel function calling, and more. Returns a maximum of 4,096 output tokens. This is a preview model. Learn more. 128,000 tokens Up to Apr 2023
gpt-4-vision-preview GPT-4 with the ability to understand images, in addition to all other GPT-4 Turbo capabilities. Currently points to gpt-4-1106-vision-preview. 128,000 tokens Up to Apr 2023
gpt-4-1106-vision-preview GPT-4 with the ability to understand images, in addition to all other GPT-4 Turbo capabilities. Returns a maximum of 4,096 output tokens. This is a preview model version. Learn more. 128,000 tokens Up to Apr 2023
gpt-4 Currently points to gpt-4-0613. See continuous model upgrades. 8,192 tokens Up to Sep 2021
gpt-4-0613 Snapshot of gpt-4 from June 13th 2023 with improved function calling support. 8,192 tokens Up to Sep 2021
gpt-4-32k Currently points to gpt-4-32k-0613. See continuous model upgrades. This model was never rolled out widely in favor of GPT-4 Turbo. 32,768 tokens Up to Sep 2021
gpt-4-32k-0613 Snapshot of gpt-4-32k from June 13th 2023 with improved function calling support. This model was never rolled out widely in favor of GPT-4 Turbo. 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.

Multilingual capabilities
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.

GPT-3.5 Turbo
GPT-3.5 Turbo models can understand and generate natural language or code and have been optimized for chat using the Chat Completions API but work well for non-chat tasks as well.

MODEL DESCRIPTION CONTEXT WINDOW TRAINING DATA
gpt-3.5-turbo-0125 New Updated GPT 3.5 Turbo
The latest GPT-3.5 Turbo model with higher accuracy at responding in requested formats and a fix for a bug which caused a text encoding issue for non-English language function calls. Returns a maximum of 4,096 output tokens. Learn more. 16,385 tokens Up to Sep 2021
gpt-3.5-turbo Currently points to gpt-3.5-turbo-0125. 16,385 tokens Up to Sep 2021
gpt-3.5-turbo-1106 GPT-3.5 Turbo model with improved instruction following, JSON mode, reproducible outputs, parallel function calling, and more. Returns a maximum of 4,096 output tokens. Learn more. 16,385 tokens Up to Sep 2021
gpt-3.5-turbo-instruct Similar capabilities as GPT-3 era models. Compatible with legacy Completions endpoint and not Chat Completions. 4,096 tokens Up to Sep 2021
gpt-3.5-turbo-16k Legacy Currently points to gpt-3.5-turbo-16k-0613. 16,385 tokens Up to Sep 2021
gpt-3.5-turbo-0613 Legacy Snapshot of gpt-3.5-turbo from June 13th 2023. Will be deprecated on June 13, 2024. 4,096 tokens Up to Sep 2021
gpt-3.5-turbo-16k-0613 Legacy Snapshot of gpt-3.5-16k-turbo from June 13th 2023. Will be deprecated on June 13, 2024. 16,385 tokens Up to Sep 2021
DALL·E
DALL·E is a AI system that can create realistic images and art from a description in natural language. DALL·E 3 currently supports the ability, given a prompt, to create a new image with a specific size. DALL·E 2 also support the ability to edit an existing image, or create variations of a user provided image.

DALL·E 3 is available through our Images API along with DALL·E 2. You can try DALL·E 3 through ChatGPT Plus.

MODEL DESCRIPTION
dall-e-3 New DALL·E 3
The latest DALL·E model released in Nov 2023. Learn more.
dall-e-2 The previous DALL·E model released in Nov 2022. The 2nd iteration of DALL·E with more realistic, accurate, and 4x greater resolution images than the original model.
TTS
TTS is an AI model that converts text to natural sounding spoken text. We offer two different model variates, tts-1 is optimized for real time text to speech use cases and tts-1-hd is optimized for quality. These models can be used with the Speech endpoint in the Audio API.

MODEL DESCRIPTION
tts-1 New Text-to-speech 1
The latest text to speech model, optimized for speed.
tts-1-hd New Text-to-speech 1 HD
The latest text to speech model, optimized for quality.
Whisper
Whisper is a general-purpose speech recognition model. It is trained on a large dataset of diverse audio and is also a multi-task model that can perform multilingual speech recognition as well as speech translation and language identification. The Whisper v2-large model is currently available through our API with the whisper-1 model name.

Currently, there is no difference between the open source version of Whisper and the version available through our API. However, through our API, we offer an optimized inference process which makes running Whisper through our API much faster than doing it through other means. For more technical details on Whisper, you can read the paper.

Embeddings
Embeddings are a numerical representation of text that can be used to measure the relatedness between two pieces of text. Embeddings are useful for search, clustering, recommendations, anomaly detection, and classification tasks. You can read more about our latest embedding models in the announcement blog post.

MODEL DESCRIPTION OUTPUT DIMENSION
text-embedding-3-large New Embedding V3 large
Most capable embedding model for both english and non-english tasks 3,072
text-embedding-3-small New Embedding V3 small
Increased performance over 2nd generation ada embedding model 1,536
text-embedding-ada-002 Most capable 2nd generation embedding model, replacing 16 first generation models 1,536
Moderation
The Moderation models are designed to check whether content complies with OpenAI's usage policies. The models provide classification capabilities that look for content in the following categories: hate, hate/threatening, self-harm, sexual, sexual/minors, violence, and violence/graphic. You can find out more in our moderation guide.

Moderation models take in an arbitrary sized input that is automatically broken up into chunks of 4,096 tokens. In cases where the input is more than 32,768 tokens, truncation is used which in a rare condition may omit a small number of tokens from the moderation check.

The final results from each request to the moderation endpoint shows the maximum value on a per category basis. For example, if one chunk of 4K tokens had a category score of 0.9901 and the other had a score of 0.1901, the results would show 0.9901 in the API response since it is higher.

MODEL DESCRIPTION MAX TOKENS
text-moderation-latest Currently points to text-moderation-007. 32,768
text-moderation-stable Currently points to text-moderation-007. 32,768
text-moderation-007 Most capable moderation model across all categories. 32,768
GPT base
GPT base models can understand and generate natural language or code but are not trained with instruction following. These models are made to be replacements for our original GPT-3 base models and use the legacy Completions API. Most customers should use GPT-3.5 or GPT-4.

MODEL DESCRIPTION MAX TOKENS TRAINING DATA
babbage-002 Replacement for the GPT-3 ada and babbage base models. 16,384 tokens Up to Sep 2021
davinci-002 Replacement for the GPT-3 curie and davinci base models. 16,384 tokens Up to Sep 2021