OpenAI
namespace Aspire.Hosting.Foundry;
public static class OpenAI{ // ...}Fields67
Section titled FieldsCodexMinistaticComputerUsePreviewstaticDavinci002staticAzure Direct Models
Direct from Azure models are a select portfolio curated for their market-differentiated capabilities:
Secure and managed by Microsoft: Purchase and manage models directly through Azure with a single license, consistent support, and no third-party dependencies, backed by Azure's enterprise-grade infrastructure.
Streamlined operations: Benefit from unified billing, governance, and seamless PTU portability across models hosted on Azure - all as part of one Azure AI Foundry platform.
Future-ready flexibility: Access the latest models as they become available, and easily test, deploy, or switch between them within Azure AI Foundry; reducing integration effort.
Cost control and optimization: Scale on demand with pay-as-you-go flexibility or reserve PTUs for predictable performance and savings.
Learn more about Direct from Azure models.
Key capabilities
About this model
The provider has not supplied this information.
Key model capabilities
Davinci-002 supports fine-tuning, allowing developers and businesses to customize the model for specific applications.
Use cases
See Responsible AI for additional considerations for responsible use.
Key use cases
The provider has not supplied this information.
Out of scope use cases
The provider has not supplied this information.
Pricing
Pricing is based on a number of factors, including deployment type and tokens used. See pricing details here.
Technical specs
The provider has not supplied this information.
Training cut-off date
This model supports 16384 max input tokens and training data is up to Sep 2021.
Training time
The provider has not supplied this information.
Input formats
Your training data and validation data sets consist of input and output examples for how you would like the model to perform. The training and validation data you use must be formatted as a JSON Lines (JSONL) document in which each line represents a single prompt-completion pair.
Output formats
The provider has not supplied this information.
Supported languages
The provider has not supplied this information.
Sample JSON response
The provider has not supplied this information.
Model architecture
Davinci-002 is the latest version of Davinci, a gpt-3 based model.
Long context
This model supports 16384 max input tokens.
Optimizing model performance
The provider has not supplied this information.
Additional assets
Learn more at https://learn.microsoft.com/azure/cognitive-services/openai/concepts/models
Training disclosure
Training, testing and validation
The provider has not supplied this information.
Distribution
Distribution channels
The provider has not supplied this information.
More information
The provider has not supplied this information.
Gpt41staticGpt41MinistaticGpt41NanostaticGpt4ostaticGpt4oMinistaticGpt4oMiniTranscribestaticGpt4oMiniTtsstaticGpt4oTranscribestaticGpt4oTranscribeDiarizestaticGpt5staticGpt51staticGpt51ChatstaticGpt51CodexstaticGpt51CodexMaxstaticGpt51CodexMinistaticGpt52staticGpt52ChatstaticGpt52CodexstaticGpt53ChatstaticGpt53CodexstaticGpt54staticGpt54MinistaticGpt54NanostaticGpt54ProstaticGpt55staticGpt56LunastaticGpt56SolstaticGpt56TerrastaticGpt5ChatstaticGpt5CodexstaticGpt5MinistaticGpt5NanostaticGpt5ProstaticGptAudiostaticGptAudio15staticGptAudioMinistaticGptChatLateststaticGptImage15staticGptImage1MinistaticGptImage2staticGptLiveTranscribestaticGptOss120bstaticGptOss20bstaticGptRealtimestaticGptRealtime15staticGptRealtime2staticGptRealtime21staticGptRealtime21MinistaticGptRealtimeMinistaticGptRealtimeTranslatestaticGptRealtimeWhisperstaticGptTranscribestaticO1staticO3staticO3DeepResearchstaticO3MinistaticO3ProstaticO4MinistaticTextEmbedding3LargestaticTextEmbedding3SmallstaticTextEmbeddingAda002staticDirect from Azure models
Direct from Azure models are a select portfolio curated for their market-differentiated capabilities:
Secure and managed by Microsoft: Purchase and manage models directly through Azure with a single license, consistent support, and no third-party dependencies, backed by Azure's enterprise-grade infrastructure.
Streamlined operations: Benefit from unified billing, governance, and seamless PTU portability across models hosted on Azure - all part of Microsoft Foundry.
Future-ready flexibility: Access the latest models as they become available, and easily test, deploy, or switch between them within Microsoft Foundry; reducing integration effort.
Cost control and optimization: Scale on demand with pay-as-you-go flexibility or reserve PTUs for predictable performance and savings.
Learn more about Direct from Azure models.
Key capabilities
About this model
text-embedding-ada-002 outperforms all the earlier embedding models on text search, code search, and sentence similarity tasks and gets comparable performance on text classification.
Key model capabilities
Text search
Code search
Sentence similarity tasks
Text classification
Note: this model can be deployed for inference, specifically for embeddings, but cannot be finetuned.
Use cases
See Responsible AI for additional considerations for responsible use.
Key use cases
The provider has not supplied this information.
Out of scope use cases
The provider has not supplied this information.
Pricing
Pricing is based on a number of factors, including deployment type and tokens used. See pricing details here.
Technical specs
The provider has not supplied this information.
Training cut-off date
The provider has not supplied this information.
Training time
The provider has not supplied this information.
Input formats
The provider has not supplied this information.
Output formats
The provider has not supplied this information.
Supported languages
The provider has not supplied this information.
Sample JSON response
The provider has not supplied this information.
Model architecture
The provider has not supplied this information.
Long context
The provider has not supplied this information.
Optimizing model performance
The provider has not supplied this information.
Additional assets
The provider has not supplied this information.
Training disclosure
Training, testing and validation
The provider has not supplied this information.
Distribution
Distribution channels
The provider has not supplied this information.
More information
The provider has not supplied this information.
TtsstaticDirect from Azure models
Direct from Azure models are a select portfolio curated for their market-differentiated capabilities:
Secure and managed by Microsoft: Purchase and manage models directly through Azure with a single license, consistent support, and no third-party dependencies, backed by Azure's enterprise-grade infrastructure.
Streamlined operations: Benefit from unified billing, governance, and seamless PTU portability across models hosted on Azure - all part of Microsoft Foundry.
Future-ready flexibility: Access the latest models as they become available, and easily test, deploy, or switch between them within Microsoft Foundry; reducing integration effort.
Cost control and optimization: Scale on demand with pay-as-you-go flexibility or reserve PTUs for predictable performance and savings.
Learn more about Direct from Azure models.
Key capabilities
About this model
TTS is a model that converts text to natural sounding speech. TTS is optimized for realtime or interactive scenarios. For offline scenarios, TTS-HD provides higher quality. The API supports six different voices.
Key model capabilities
TTS: optimized for speed.
TTS-HD: optimized for quality.
Use cases
See Responsible AI for additional considerations for responsible use.
Key use cases
The provider has not supplied this information.
Out of scope use cases
The provider has not supplied this information.
Pricing
Pricing is based on a number of factors, including deployment type and tokens used. See pricing details here.
Technical specs
The provider has not supplied this information.
Training cut-off date
The provider has not supplied this information.
Training time
The provider has not supplied this information.
Input formats
Max request data size: 4,096 chars can be converted from text to speech per API request.
Output formats
The provider has not supplied this information.
Supported languages
The provider has not supplied this information.
Sample JSON response
The provider has not supplied this information.
Model architecture
The provider has not supplied this information.
Long context
The provider has not supplied this information.
Optimizing model performance
The provider has not supplied this information.
Additional assets
The provider has not supplied this information.
Training disclosure
Training, testing and validation
The provider has not supplied this information.
Distribution
Distribution channels
The provider has not supplied this information.
More information
The provider has not supplied this information.
TtsHdstaticDirect from Azure models
Direct from Azure models are a select portfolio curated for their market-differentiated capabilities:
Secure and managed by Microsoft: Purchase and manage models directly through Azure with a single license, consistent support, and no third-party dependencies, backed by Azure's enterprise-grade infrastructure.
Streamlined operations: Benefit from unified billing, governance, and seamless PTU portability across models hosted on Azure - all part of Microsoft Foundry.
Future-ready flexibility: Access the latest models as they become available, and easily test, deploy, or switch between them within Microsoft Foundry; reducing integration effort.
Cost control and optimization: Scale on demand with pay-as-you-go flexibility or reserve PTUs for predictable performance and savings.
Learn more about Direct from Azure models.
Key capabilities
About this model
TTS-HD is a model that converts text to natural sounding speech.
Key model capabilities
TTS: optimized for speed.
TTS-HD: optimized for quality.
Use cases
See Responsible AI for additional considerations for responsible use.
Key use cases
TTS is optimized for realtime or interactive scenarios. For offline scenarios, TTS-HD provides higher quality.
Out of scope use cases
The provider has not supplied this information.
Pricing
Pricing is based on a number of factors, including deployment type and tokens used. See pricing details here.
Technical specs
The provider has not supplied this information.
Training cut-off date
The provider has not supplied this information.
Training time
The provider has not supplied this information.
Input formats
Max request data size: 4,096 chars can be converted from text to speech per API request.
Output formats
The provider has not supplied this information.
Supported languages
The provider has not supplied this information.
Sample JSON response
The provider has not supplied this information.
Model architecture
The provider has not supplied this information.
Long context
The provider has not supplied this information.
Optimizing model performance
The provider has not supplied this information.
Additional assets
The provider has not supplied this information.
Training disclosure
Training, testing and validation
The provider has not supplied this information.
Distribution
Distribution channels
The provider has not supplied this information.
More information
The provider has not supplied this information.
WhisperstaticDirect from Azure models
Direct from Azure models are a select portfolio curated for their market-differentiated capabilities:
Secure and managed by Microsoft: Purchase and manage models directly through Azure with a single license, consistent support, and no third-party dependencies, backed by Azure's enterprise-grade infrastructure.
Streamlined operations: Benefit from unified billing, governance, and seamless PTU portability across models hosted on Azure - all part of Microsoft Foundry.
Future-ready flexibility: Access the latest models as they become available, and easily test, deploy, or switch between them within Microsoft Foundry; reducing integration effort.
Cost control and optimization: Scale on demand with pay-as-you-go flexibility or reserve PTUs for predictable performance and savings.
Learn more about Direct from Azure models.
Key capabilities
About this model
The Whisper models are trained for speech recognition and translation tasks, capable of transcribing speech audio into the text in the language it is spoken (automatic speech recognition) as well as translated into English (speech translation).
Key model capabilities
Speech recognition (automatic speech recognition)
Speech translation into English
Processing of audio up to 25mb per API request
Use cases
See Responsible AI for additional considerations for responsible use.
Key use cases
The provider has not supplied this information.
Out of scope use cases
The provider has not supplied this information.
Pricing
Pricing is based on a number of factors, including deployment type and tokens used. See pricing details here.
Technical specs
The provider has not supplied this information.
Training cut-off date
The provider has not supplied this information.
Training time
The provider has not supplied this information.
Input formats
Max request data size: 25mb of audio can be converted from speech to text per API request.
Output formats
The provider has not supplied this information.
Supported languages
The provider has not supplied this information.
Sample JSON response
The provider has not supplied this information.
Model architecture
The provider has not supplied this information.
Long context
The provider has not supplied this information.
Optimizing model performance
The provider has not supplied this information.
Additional assets
The provider has not supplied this information.
Training disclosure
Training, testing and validation
Researchers at OpenAI developed the models to study the robustness of speech processing systems trained under large-scale weak supervision.
Distribution
Distribution channels
The provider has not supplied this information.
More information
The provider has not supplied this information.
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