OpenAI
namespace Aspire.Hosting.Foundry;
public static class OpenAI{ // ...}Fields69
Section titled FieldsCodexMinistaticComputerUsePreviewstaticDallE3staticDirect 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
DALL-E 3 generates images from text prompts that are provided by the user.
Key model capabilities
The image generation API creates an image from a text prompt. It does not edit existing images or create variations.
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.
Davinci002staticAzure 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.
Gpt35TurbostaticDirect 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 gpt-35-turbo is a language model designed for conversational interfaces that has been optimized for chat using the Chat Completions API.
Key model capabilities
The provider has not supplied this information.
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 model expects a prompt string formatted in a specific chat-like transcript format.
Output formats
The model returns a completion that represents a model-written message in the chat.
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.
Gpt35Turbo16kstaticDirect 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
gpt-3.5 models can understand and generate natural language or code.
Key model capabilities
gpt-3.5-turbo is available for use with the Chat Completions API. gpt-3.5-turbo Instruct has similar capabilities to text-davinci-003 using the Completions API instead of the Chat Completions API.
To learn more about how to interact with gpt-3.5-turbo and the Chat Completions API check out our in-depth how-to. in-depth how-to.
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
Sep 2021
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
You can see the token context length supported by each model in the model summary table.
Model ID
Model Availability
Max Request (tokens)
Training Data (up to)
gpt-35-turbo 1 1 (0301)
East US, France Central, South Central US, UK South, West Europe
4,096
Sep 2021
gpt-35-turbo (0613)
Australia East, Canada East, East US, East US 2, France Central, Japan East, North Central US, Sweden Central, Switzerland North, UK South
4,096
Sep 2021
gpt-35-turbo-16k (0613)
Australia East, Canada East, East US, East US 2, France Central, Japan East, North Central US, Sweden Central, Switzerland North, UK South
16,384
Sep 2021
gpt-35-turbo-instruct (0914)
East US, Sweden Central
4,097
Sep 2021
gpt-35-turbo (1106)
Australia East, Canada East, France Central, South India, Sweden Central, UK South, West US
Input: 16,385 Output: 4,096
Sep 2021
1 1 This model will accept requests > 4,096 tokens. It is not recommended to exceed the 4,096 input token limit as the newer version of the model are capped at 4,096 tokens. If you encounter issues when exceeding 4,096 input tokens with this model this configuration is not officially supported.
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.
Gpt35TurboInstructstaticDirect 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
gpt-3.5 models can understand and generate natural language or code.
Key model capabilities
Understand and generate natural language
Generate code
Chat optimized interactions
Traditional completions tasks
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
Sep 2021
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
You can see the token context length supported by each model in the model summary table.
Model ID
Model Availability
Max Request (tokens)
Training Data (up to)
gpt-35-turbo 1 1 (0301)
East US, France Central, South Central US, UK South, West Europe
4,096
Sep 2021
gpt-35-turbo (0613)
Australia East, Canada East, East US, East US 2, France Central, Japan East, North Central US, Sweden Central, Switzerland North, UK South
4,096
Sep 2021
gpt-35-turbo-16k (0613)
Australia East, Canada East, East US, East US 2, France Central, Japan East, North Central US, Sweden Central, Switzerland North, UK South
16,384
Sep 2021
gpt-35-turbo-instruct (0914)
East US, Sweden Central
4,097
Sep 2021
gpt-35-turbo (1106)
Australia East, Canada East, France Central, South India, Sweden Central, UK South, West US
Input: 16,385 Output: 4,096
Sep 2021
1 1 This model will accept requests > 4,096 tokens. It is not recommended to exceed the 4,096 input token limit as the newer version of the model are capped at 4,096 tokens. If you encounter issues when exceeding 4,096 input tokens with this model this configuration is not officially supported.
Optimizing model performance
The provider has not supplied this information.
Additional assets
To learn more about how to interact with GPT-3.5 Turbo and the Chat Completions API check out our in-depth how-to. in-depth how-to.
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
Gpt4staticDirect 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
gpt-4 is a large multimodal model that can solve complex problems with greater accuracy than any of our previous models, thanks to its extensive general knowledge and advanced reasoning capabilities.
Key model capabilities
gpt-4-turbo-2024-04-09: This is the GPT-4 Turbo with Vision GA model. It can return up to 4,096 output tokens.
gpt-4-1106-preview (GPT-4 Turbo): The latest gpt-4 model with improved instruction following, JSON mode, reproducible outputs, parallel function calling, and more. It returns a maximum of 4,096 output tokens.
gpt-4-vision Preview (GPT-4 Turbo with vision): This multimodal AI model enables users to direct the model to analyze image inputs they provide, along with all the other capabilities of GPT-4 Turbo. It can return up to 4,096 output tokens.
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
Please note that AzureML Studio only supports the deployment of the gpt-4-0314 model version and AI Studio supports the deployment of all the model versions listed below. This preview model is not yet suited for production traffic. As a preview model version, it is not yet suitable for production traffic. This model version will be retired no earlier than July 5, 2024.
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
gpt-4 provides a wide range of model versions to fit your business needs:
gpt-4-turbo-2024-04-09: The training data is current up to December 2023.
gpt-4-1106-preview (GPT-4 Turbo): Training Data: Up to April 2023.
gpt-4-vision Preview (GPT-4 Turbo with vision): Training data is current up to April 2023.
gpt-4-0613: Training data up to September 2021.
gpt-4-0314: Training data up to September 2021.
Training time
The provider has not supplied this information.
Input formats
gpt-4 is a large multimodal model that accepts text or image inputs.
Output formats
gpt-4 outputs text.
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
gpt-4 provides different context window sizes across model versions:
gpt-4-turbo-2024-04-09: The context window is 128,000 tokens.
gpt-4-1106-preview (GPT-4 Turbo): Context window: 128,000 tokens.
gpt-4-vision Preview (GPT-4 Turbo with vision): The context window is 128,000 tokens.
gpt-4-0613: gpt-4 model with a context window of 8,192 tokens.
gpt-4-0314: gpt-4 legacy model with a context window of 8,192 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.
Gpt41staticGpt41MinistaticGpt41NanostaticGpt432kstaticDirect 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
gpt-4 can solve difficult problems with greater accuracy than any of the previous OpenAI models. Like gpt-35-turbo, gpt-4 is optimized for chat but works well for traditional completions tasks.
Key model capabilities
gpt-4 can solve difficult problems with greater accuracy than any of the previous OpenAI models. Like gpt-35-turbo, gpt-4 is optimized for chat but works well for traditional completions tasks.
Use cases
See Responsible AI for additional considerations for responsible use.
Key use cases
gpt-4 is optimized for chat but works well for traditional completions tasks.
Out of scope use cases
this model can be deployed for inference, but cannot be finetuned.
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 gpt-4 supports 8192 max input tokens and the gpt-4-32k supports up to 32,768 tokens.
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 gpt-4 supports 8192 max input tokens and the gpt-4-32k supports up to 32,768 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.
Gpt45PreviewstaticGpt4ostaticGpt4oAudioPreviewstaticGpt4oMinistaticGpt4oMiniAudioPreviewstaticGpt4oMiniRealtimePreviewstaticGpt4oMiniTranscribestaticGpt4oMiniTtsstaticGpt4oRealtimePreviewstaticDirect 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
Introducing our new multimodal AI model, which now supports both text and audio modalities.
Key model capabilities
Enhanced customer service: By integrating audio inputs, gpt-4o-realtime-preview enables more dynamic and comprehensive customer support interactions.
Content innovation: Use gpt-4o-realtime-preview's generative capabilities to create engaging and diverse audio content, catering to a broad range of consumer preferences.
Real-time translation: Leverage gpt-4o-realtime-preview's capability to provide accurate and immediate translations, facilitating seamless communication across different languages
Use cases
See Responsible AI for additional considerations for responsible use.
Key use cases
The introduction of gpt-4o-realtime-preview opens numerous possibilities for businesses in various sectors: Enhanced customer service, content innovation, and real-time translation capabilities facilitate seamless communication across different languages.
Out of scope use cases
Currently, the gpt-4o-realtime-preview model focuses on text and audio and does not support existing gpt-4o features such as image modality and structured outputs. For many tasks, the generally available gpt-4o models may still be more suitable.
IMPORTANT: At this time, gpt-4o-realtime-preview usage limits are suitable for test and development. To prevent abuse and preserve service integrity, rate limits will be adjusted as needed.
IMPORTANT: The system stores your prompts and completions as described in the "Data Use and Access for Abuse Monitoring" section of the service-specific Product Terms for Azure OpenAI Service, except that the Limited Exception does not apply. Abuse monitoring will be turned on for use of the GPT-4o-realtime-preview API even for customers who otherwise are approved for modified abuse monitoring.
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
Currently, the gpt-4o-realtime-preview model focuses on text and audio and does not support existing gpt-4o features such as image modality and structured outputs.
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 following documents are applicable:
Training disclosure
Training, testing and validation
GPT-4o-realtime-preview has safety built-in by design across modalities, through techniques such as filtering training data and refining the model's behavior through post-training.
Distribution
Distribution channels
The provider has not supplied this information.
More information
We've evaluated GPT-4o-realtime-preview according to our Preparedness Framework and in line with our voluntary commitments. Our evaluations of cybersecurity, CBRN, persuasion, and model autonomy show that GPT-4o-realtime-preview does not score above Medium risk in any of these categories. This assessment involved running a suite of automated and human evaluations throughout the model training process. We tested both pre-safety-mitigation and post-safety-mitigation versions of the model, using custom fine-tuning and prompts, to better elicit model capabilities.
GPT-4o-realtime-preview has also undergone extensive external red teaming with 70+ external experts in domains such as social psychology, bias and fairness, and misinformation to identify risks that are introduced or amplified by the newly added modalities. We used these learnings to build out our safety interventions in order to improve the safety of interacting with GPT-4o-realtime-preview. We will continue to mitigate new risks as they're discovered.
Model Versions:
2024-12-17: Updating the gpt-4o-realtime-preview model with improvements in voice quality and input reliability. As this is a preview version, it is designed for testing and feedback purposes and is not yet optimized for production traffic.
2024-10-01: Introducing our new multimodal AI model, which now supports both text and audio modalities. As this is a preview version, it is designed for testing and feedback purposes and is not yet optimized for production traffic.
Gpt4oTranscribestaticGpt4oTranscribeDiarizestaticGpt5staticGpt51staticGpt51ChatstaticGpt51CodexstaticGpt51CodexMaxstaticGpt51CodexMinistaticGpt52staticGpt52ChatstaticGpt52CodexstaticGpt53ChatstaticGpt53CodexstaticGpt54staticGpt54MinistaticGpt54NanostaticGpt54ProstaticGpt5ChatstaticGpt5CodexstaticGpt5MinistaticGpt5NanostaticGpt5ProstaticGptAudiostaticGptAudio15staticGptAudioMinistaticGptImage1staticGptImage15staticGptImage1MinistaticGptOss120bstaticGptOss20bstaticGptRealtimestaticGptRealtime15staticGptRealtimeMinistaticO1staticO1MinistaticO1PreviewstaticO3staticO3DeepResearchstaticO3MinistaticO3ProstaticO4MinistaticSorastaticTextEmbedding3LargestaticTextEmbedding3SmallstaticTextEmbeddingAda002staticDirect 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.