gpt-4o offers a shift in how AI models interact with multimodal inputs. By seamlessly combining text, images, and audio, gpt-4o provides a richer, more engaging user experience.
GPT-4o mini enables a broad range of tasks with its low cost and latency, such as applications that chain or parallelize multiple model calls (e.g., calling multiple APIs), pass a large volume of context to the model (e.g., full code base or conversation history), or interact with customers through fast, real-time text responses (e.g., customer support chatbots).
The o1 and o3 series models are specifically designed to tackle reasoning and problem-solving tasks with increased focus and capability. These models spend more time processing and understanding the user's request, making them exceptionally strong in areas like science, coding, math and similar fields. For example, o1 can be used by healthcare researchers to annotate cell sequencing data, by physicists to generate complicated mathematical formulas needed for quantum optics, and by developers in all fields to build and execute multi-step workflows.
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.