Azure OpenAI Service deprecated models
Azure OpenAI Service offers a variety of models for different use cases. The following models were deprecated on July 6, 2023 and will be retired on June 14, 2024. These models are no longer available for new deployments. Deployments created prior to July 6, 2023 remain available to customers until June 14, 2024. We recommend customers migrate their applications to deployments of replacement models prior to the June 14, 2024 retirement.
At the time of retirement, deployments of these models will stop returning valid API responses.
GPT-3.5
The impacted GPT-3.5 models are the following. The replacement for the GPT-3.5 models is GPT-3.5 Turbo Instruct when that model becomes available.
text-davinci-002text-davinci-003code-davinci-002
GPT-3
The impacted GPT-3 models are the following. The replacement for the GPT-3 models is GPT-3.5 Turbo Instruct when that model becomes available.
text-ada-001text-babbage-001text-curie-001text-davinci-001code-cushman-001
Embedding models
The embedding models below will be retired effective June 14, 2024. Customers should migrate to text-embedding-ada-002 (version 2).
Each family includes models across a range of capability. The following list indicates the length of the numerical vector returned by the service, based on model capability:
| Base Model | Model(s) | Dimensions |
|---|---|---|
| Ada | 1,024 | |
| Babbage | 2,048 | |
| Curie | 4,096 | |
| Davinci | 12,288 |
Similarity embedding
These models are good at capturing semantic similarity between two or more pieces of text.
| Use cases | Models |
|---|---|
| Clustering, regression, anomaly detection, visualization | text-similarity-ada-001 text-similarity-babbage-001 text-similarity-curie-001 text-similarity-davinci-001 |
Text search embedding
These models help measure whether long documents are relevant to a short search query. There are two input types supported by this family: doc, for embedding the documents to be retrieved, and query, for embedding the search query.
| Use cases | Models |
|---|---|
| Search, context relevance, information retrieval | text-search-ada-doc-001 text-search-ada-query-001 text-search-babbage-doc-001 text-search-babbage-query-001 text-search-curie-doc-001 text-search-curie-query-001 text-search-davinci-doc-001 text-search-davinci-query-001 |
Code search embedding
Similar to text search embedding models, there are two input types supported by this family: code, for embedding code snippets to be retrieved, and text, for embedding natural language search queries.
| Use cases | Models |
|---|---|
| Code search and relevance | code-search-ada-code-001 code-search-ada-text-001 code-search-babbage-code-001 code-search-babbage-text-001 |
Model summary table and region availability
Region availability is for customers with deployments of the models prior to July 6, 2023.
GPT-3.5 models
| Model ID | Base model Regions | Fine-Tuning Regions | Max Request (tokens) | Training Data (up to) |
|---|---|---|---|---|
| text-davinci-002 | East US, South Central US, West Europe | N/A | 4,097 | Jun 2021 |
| text-davinci-003 | East US, West Europe | N/A | 4,097 | Jun 2021 |
| code-davinci-002 | East US, West Europe | N/A | 8,001 | Jun 2021 |
GPT-3 models
| Model ID | Base model Regions | Fine-Tuning Regions | Max Request (tokens) | Training Data (up to) |
|---|---|---|---|---|
| ada | N/A | N/A | 2,049 | Oct 2019 |
| text-ada-001 | East US, South Central US, West Europe | N/A | 2,049 | Oct 2019 |
| babbage | N/A | N/A | 2,049 | Oct 2019 |
| text-babbage-001 | East US, South Central US, West Europe | N/A | 2,049 | Oct 2019 |
| curie | N/A | N/A | 2,049 | Oct 2019 |
| text-curie-001 | East US, South Central US, West Europe | N/A | 2,049 | Oct 2019 |
| davinci | N/A | N/A | 2,049 | Oct 2019 |
| text-davinci-001 | South Central US, West Europe | N/A |
Codex models
| Model ID | Base model Regions | Fine-Tuning Regions | Max Request (tokens) | Training Data (up to) |
|---|---|---|---|---|
| code-cushman-001 | South Central US, West Europe | N/A | 2,048 |
Embedding models
| Model ID | Base model Regions | Fine-Tuning Regions | Max Request (tokens) | Training Data (up to) |
|---|---|---|---|---|
| text-similarity-ada-001 | East US, South Central US, West Europe | N/A | 2,046 | Aug 2020 |
| text-similarity-babbage-001 | South Central US, West Europe | N/A | 2,046 | Aug 2020 |
| text-similarity-curie-001 | East US, South Central US, West Europe | N/A | 2,046 | Aug 2020 |
| text-similarity-davinci-001 | South Central US, West Europe | N/A | 2,046 | Aug 2020 |
| text-search-ada-doc-001 | South Central US, West Europe | N/A | 2,046 | Aug 2020 |
| text-search-ada-query-001 | South Central US, West Europe | N/A | 2,046 | Aug 2020 |
| text-search-babbage-doc-001 | South Central US, West Europe | N/A | 2,046 | Aug 2020 |
| text-search-babbage-query-001 | South Central US, West Europe | N/A | 2,046 | Aug 2020 |
| text-search-curie-doc-001 | South Central US, West Europe | N/A | 2,046 | Aug 2020 |
| text-search-curie-query-001 | South Central US, West Europe | N/A | 2,046 | Aug 2020 |
| text-search-davinci-doc-001 | South Central US, West Europe | N/A | 2,046 | Aug 2020 |
| text-search-davinci-query-001 | South Central US, West Europe | N/A | 2,046 | Aug 2020 |
| code-search-ada-code-001 | South Central US, West Europe | N/A | 2,046 | Aug 2020 |
| code-search-ada-text-001 | South Central US, West Europe | N/A | 2,046 | Aug 2020 |
| code-search-babbage-code-001 | South Central US, West Europe | N/A | 2,046 | Aug 2020 |
| code-search-babbage-text-001 | South Central US, West Europe | N/A | 2,046 | Aug 2020 |