gpt-5 is designed for logic-heavy and multi-step tasks. gpt-5 provides deeper, richer reasoning for analytics and code generation capabilities.
gpt-4.1 outperforms gpt-4o across the board, with major gains in coding, instruction following, and long-context understanding.
Sora 2 in Azure AI Foundry isn’t just another video generation tool; it’s a creative powerhouse, seamlessly integrated into a platform built for innovation, trust, and scale.
DeepSeek-R1 excels at reasoning tasks using a step-by-step training process, such as language, scientific reasoning, and coding tasks. It features 671B total parameters with 37B active parameters, and 128k context length.
Phi-4-mini-instruct is a lightweight open model built upon synthetic data and filtered publicly available websites - with a focus on high-quality, reasoning dense data. The model belongs to the Phi-4 model family and supports 128K token context length. The model underwent an enhancement process, incorporating both supervised fine-tuning and direct preference optimization to support precise instruction adherence and robust safety measures.
Mistral Nemo is a cutting-edge Language Model (LLM) boasting state-of-the-art reasoning, world knowledge, and coding capabilities within its size category.
Microsoft-hosted OpenAI models, including GPT-4 and Codex, offering enterprise-grade security and compliance.
Proprietary AI models developed by Microsoft, tailored for various enterprise applications and integrated within Azure services.
Open-source models like Llama 2, built for versatile language tasks and research applications.
French AI startup offering efficient and cost-effective language models, including Mistral 7B and Mixtral.
Offers language models optimized for retrieval-augmented generation and enterprise applications.
Offers GPU-optimized models and tools for high-performance AI applications across various domains.