Models sold directly by Azure
Models sold directly by Azure include all Azure OpenAI models and specific, selected models from top providers. To learn more about these models, see Models Sold Directly by Azure.Azure OpenAI
Azure OpenAI in Azure AI Foundry Models offers a diverse set of models with different capabilities and price points. Learn more details at Azure OpenAI Model availability. These models include:- State-of-the-art models designed to tackle reasoning and problem-solving tasks with increased focus and capability
- Models that can understand and generate natural language and code
- Models that can transcribe and translate speech to text
See this model collection in Azure AI Foundry portal.
DeepSeek models sold directly by Azure
DeepSeek family of models includes DeepSeek-R1, which excels at reasoning tasks using a step-by-step training process, such as language, scientific reasoning, and coding tasks.
See this model collection in Azure AI Foundry portal.
Meta models sold directly by Azure
Meta Llama models and tools are a collection of pretrained and fine-tuned generative AI text and image reasoning models. Meta models range is scale to include:- Small language models (SLMs) like 1B and 3B Base and Instruct models for on-device and edge inferencing
- Mid-size large language models (LLMs) like 7B, 8B, and 70B Base and Instruct models
- High-performant models like Meta Llama 3.1-405B Instruct for synthetic data generation and distillation use cases.
See this model collection in Azure AI Foundry portal. There are also several Meta models available from partners and community.
Microsoft models sold directly by Azure
Microsoft models include various model groups such as MAI models, Phi models, healthcare AI models, and more. To see all the available Microsoft models, view the Microsoft model collection in Azure AI Foundry portal.
See the Microsoft model collection in Azure AI Foundry portal. There are also several Microsoft models available from partners and community.
xAI models sold directly by Azure
xAI’s Grok 3 and Grok 3 Mini models are designed to excel in various enterprise domains. Grok 3, a non-reasoning model pretrained by the Colossus datacenter, is tailored for business use cases such as data extraction, coding, and text summarization, with exceptional instruction-following capabilities. It supports a 131,072 token context window, allowing it to handle extensive inputs while maintaining coherence and depth, and is adept at drawing connections across domains and languages. On the other hand, Grok 3 Mini is a lightweight reasoning model trained to tackle agentic, coding, mathematical, and deep science problems with test-time compute. It also supports a 131,072 token context window for understanding codebases and enterprise documents, and excels at using tools to solve complex logical problems in novel environments, offering raw reasoning traces for user inspection with adjustable thinking budgets.
See the xAI model collection in Azure AI Foundry portal.
Models from partners and community
Models from partners and community constitute the majority of the Azure AI Foundry Models and are provided by trusted third-party organizations, partners, research labs, and community contributors. To learn more about these models, see Models from Partners and Community.Cohere
The Cohere family of models includes various models optimized for different use cases, including chat completions and embeddings. Cohere models are optimized for various use cases that include reasoning, summarization, and question answering.Cohere rerank
For more details on pricing for Cohere rerank models, see Pricing for Cohere rerank models.
See the Cohere model collection in Azure AI Foundry portal.
Core42
Core42 includes autoregressive bi-lingual LLMs for Arabic & English with state-of-the-art capabilities in Arabic.
See this model collection in Azure AI Foundry portal.
Meta
Meta Llama models and tools are a collection of pretrained and fine-tuned generative AI text and image reasoning models. Meta models range is scale to include:- Small language models (SLMs) like 1B and 3B Base and Instruct models for on-device and edge inferencing
- Mid-size large language models (LLMs) like 7B, 8B, and 70B Base and Instruct models
- High-performant models like Meta Llama 3.1-405B Instruct for synthetic data generation and distillation use cases.
See this model collection in Azure AI Foundry portal. There are also several Meta models available as models sold directly by Azure.
Microsoft
Microsoft models include various model groups such as MAI models, Phi models, healthcare AI models, and more. To see all the available Microsoft models, view the Microsoft model collection in Azure AI Foundry portal.
See the Microsoft model collection in Azure AI Foundry portal. There are also several Microsoft models available as models sold directly by Azure.
Mistral AI
Mistral AI offers two categories of models: premium models such as Mistral Large 2411 and Ministral 3B, and open models such as Mistral Nemo.
See this model collection in Azure AI Foundry portal.
Nixtla
Nixtla’s TimeGEN-1 is a generative pretrained forecasting and anomaly detection model for time series data. TimeGEN-1 can produce accurate forecasts for new time series without training, using only historical values and exogenous covariates as inputs. To perform inferencing, TimeGEN-1 requires you to use Nixtla’s custom inference API.
For more details on pricing for Nixtla models, see Nixtla.
NTT Data
tsuzumi is an autoregressive language optimized transformer. The tuned versions use supervised fine-tuning (SFT). tsuzumi handles both Japanese and English language with high efficiency.Stability AI
The Stability AI collection of image generation models include Stable Image Core, Stable Image Ultra, and Stable Diffusion 3.5 Large. Stable Diffusion 3.5 Large allows for an image and text input.
See this model collection in Azure AI Foundry portal.