Models
Overview
The OpenAI API is powered by a diverse set of models with different capabilities and price points. You can also make limited customizations to our original base models for your specific use case with fine-tuning.
| MODELS | DESCRIPTION |
|---|---|
| GPT-4 Limited beta | A set of models that improve on GPT-3.5 and can understand as well as generate natural language or code |
| GPT-3.5 | A set of models that improve on GPT-3 and can understand as well as generate natural language or code |
| DALL·EBeta | A model that can generate and edit images given a natural language prompt |
| WhisperBeta | A model that can convert audio into text |
| Embeddings | A set of models that can convert text into a numerical form |
| CodexLimited beta | A set of models that can understand and generate code, including translating natural language to code |
| Moderation | A fine-tuned model that can detect whether text may be sensitive or unsafe |
| GPT-3 | A set of models that can understand and generate natural language |
We have also published open source models including Point-E, Whisper, Jukebox, and CLIP.
Visit our model index for researchers to learn more about which models have been featured in our research papers and the differences between model series like InstructGPT and GPT-3.5.
GPT-4 Limited beta
GPT-4 is a large multimodal model (accepting text inputs and emitting text outputs today, with image inputs coming in the future) that can solve difficult problems with greater accuracy than any of our previous models, thanks to its broader general knowledge and advanced reasoning capabilities. Like gpt-3.5-turbo, GPT-4 is optimized for chat but works well for traditional completions tasks.
GPT-4 is currently in a limited beta and only accessible to those who have been granted access. Please join the waitlist to get access when capacity is available.
| 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.
GPT-3.5
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.
| LATEST MODEL | DESCRIPTION | MAX TOKENS | TRAINING DATA |
|---|---|---|---|
| gpt-3.5-turbo | Most capable GPT-3.5 model and optimized for chat at 1/10th the cost of text-davinci-003. Will be updated with our latest model iteration. | 4,096 tokens | Up to Sep 2021 |
| gpt-3.5-turbo-0301 | Snapshot of gpt-3.5-turbo from March 1st 2023. Unlike gpt-3.5-turbo, this model will not receive updates, and will only be supported for a three month period ending on June 1st 2023. | 4,096 tokens | Up to Sep 2021 |
| text-davinci-003 | Can do any language task with better quality, longer output, and consistent instruction-following than the curie, babbage, or ada models. Also supports inserting completions within text. | 4,097 tokens | Up to Jun 2021 |
| text-davinci-002 | Similar capabilities to text-davinci-003 but trained with supervised fine-tuning instead of reinforcement learning | 4,097 tokens | Up to Jun 2021 |
| code-davinci-002 | Optimized for code-completion tasks | 8,001 tokens | Up to Jun 2021 |
We recommend using gpt-3.5-turbo over the other GPT-3.5 models because of its lower cost.
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.
Feature-specific models
While the new gpt-3.5-turbo model is optimized for chat, it works very well for traditional completion tasks. The original GPT-3.5 models are optimized for text completion.
Our endpoints for creating embeddings and editing text use their own sets of specialized models.
Codex Limited beta
The Codex models are descendants of our GPT-3 models that can understand and generate code. Their training data contains both natural language and billions of lines of public code from GitHub. Learn more.
They’re most capable in Python and proficient in over a dozen languages including JavaScript, Go, Perl, PHP, Ruby, Swift, TypeScript, SQL, and even Shell.
We currently offer two Codex models:
| LATEST MODEL | DESCRIPTION | MAX TOKENS | TRAINING DATA |
|---|---|---|---|
| code-davinci-002 | Most capable Codex model. Particularly good at translating natural language to code. In addition to completing code, also supports inserting completions within code. | 8,001 tokens | Up to Jun 2021 |
| code-cushman-001 | Almost as capable as Davinci Codex, but slightly faster. This speed advantage may make it preferable for real-time applications. | Up to 2,048 tokens |
For more, visit our guide on working with Codex.
The Codex models are free to use during the limited beta, and are subject to reduced rate limits. As we learn about use, we’ll look to offer pricing to enable a broad set of applications.
During this period, you’re welcome to go live with your application as long as it follows our usage policies. We welcome any feedback on these models while in early use and look forward to engaging with the community.
Feature-specific models
The main Codex models are meant to be used with the text completion endpoint. We also offer models that are specifically meant to be used with our endpoints for creating embeddings and editing code.
GPT-3
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.
| LATEST MODEL | DESCRIPTION | MAX TOKENS | TRAINING DATA |
|---|---|---|---|
| text-curie-001 | Very capable, faster and lower cost than Davinci. | 2,049 tokens | Up to Oct 2019 |
| text-babbage-001 | Capable of straightforward tasks, very fast, and lower cost. | 2,049 tokens | Up to Oct 2019 |
| text-ada-001 | Capable of very simple tasks, usually the fastest model in the GPT-3 series, and lowest cost. | 2,049 tokens | Up to Oct 2019 |
| davinci | Most capable GPT-3 model. Can do any task the other models can do, often with higher quality. | 2,049 tokens | Up to Oct 2019 |
| curie | Very capable, but faster and lower cost than Davinci. | 2,049 tokens | Up to Oct 2019 |
| babbage | Capable of straightforward tasks, very fast, and lower cost. | 2,049 tokens | Up to Oct 2019 |
| ada | Capable of very simple tasks, usually the fastest model in the GPT-3 series, and lowest cost. | 2,049 tokens | Up to Oct 2019 |
Model endpoint compatibility
| ENDPOINT | MODEL NAME | |
|---|---|---|
| /v1/chat/completions | gpt-4, gpt-4-0314, gpt-4-32k, gpt-4-32k-0314, gpt-3.5-turbo, gpt-3.5-turbo-0301 | |
| /v1/completions | text-davinci-003, text-davinci-002, text-curie-001, text-babbage-001, text-ada-001, davinci, curie, babbage, ada | |
| /v1/edits text-davinci-edit-001 | text-davinci-edit-001, code-davinci-edit-001 | |
| /v1/audio/transcriptions | whisper-1 | |
| /v1/audio/translations | whisper-1 | |
| /v1/fine-tunes | davinci, curie, babbage, ada | |
| /v1/embeddings | text-embedding-ada-002, text-search-ada-doc-001 | |
| /v1/moderations | text-moderation-stable, text-moderation-latest |
This list does not include our first-generation embedding models nor our DALL·E models.
Continuous model upgrades
With the release of gpt-3.5-turbo, some of our models are now being continually updated. In order to mitigate the chance of model changes affecting our users in an unexpected way, we also offer model versions that will stay static for 3 month periods. With the new cadence of model updates, we are also giving people the ability to contribute evals to help us improve the model for different use cases. If you are interested, check out the OpenAI Evals repository.
The following models are the temporary snapshots that will be deprecated at the specified date. If you want to use the latest model version, use the standard model names like gpt-4 or gpt-3.5-turbo.
| MODEL NAME | DEPRECATION DATE | |
|---|---|---|
| gpt-3.5-turbo-0301 | June 1st, 2023 | |
| gpt-4-0314 | June 14th, 2023 | |
| gpt-4-32k-0314 | June 14th, 2023 |
