o1-mini is a fast and cost-effective reasoning model designed for programming, mathematics, and scientific applications. This model features a 128K context and has a knowledge cutoff date of October 2023.

o1 is OpenAI's new reasoning model, suitable for complex tasks that require extensive general knowledge. This model features a 128K context and has a knowledge cutoff date of October 2023.

GPT-4o mini is the latest model released by OpenAI after GPT-4 Omni, supporting both image and text input while outputting text. As their most advanced small model, it is significantly cheaper than other recent cutting-edge models, costing over 60% less than GPT-3.5 Turbo. It maintains state-of-the-art intelligence while offering remarkable cost-effectiveness. GPT-4o mini scored 82% on the MMLU test and currently ranks higher than GPT-4 in chat preferences.

ChatGPT-4o is a dynamic model that updates in real-time to stay current with the latest version. It combines powerful language understanding and generation capabilities, making it suitable for large-scale applications, including customer service, education, and technical support.

A 52B parameter (12B active) multilingual model, offering a 256K long context window, function calling, structured output, and grounded generation.

A 398B parameter (94B active) multilingual model, offering a 256K long context window, function calling, structured output, and grounded generation.

Command R is a scalable generative model targeting RAG and Tool Use to enable production-scale AI for enterprises.

Command R+ is a state-of-the-art RAG-optimized model designed to tackle enterprise-grade workloads.

Mistral Nemo, developed in collaboration with Mistral AI and NVIDIA, is a high-performance 12B model.

Mistral Small can be used for any language-based task that requires high efficiency and low latency.

Mixtral Large is Mistral's flagship model, combining capabilities in code generation, mathematics, and reasoning, supporting a 128k context window.

Excellent image reasoning capabilities on high-resolution images, suitable for visual understanding applications.

Advanced image reasoning capabilities suitable for visual understanding agent applications.

The Llama 3.1 instruction-tuned text-only models are optimized for multilingual dialogue use cases and outperform many of the available open-source and closed chat models on common industry benchmarks.

The Llama 3.1 instruction-tuned text-only models are optimized for multilingual dialogue use cases and outperform many of the available open-source and closed chat models on common industry benchmarks.

The Llama 3.1 instruction-tuned text-only models are optimized for multilingual dialogue use cases and outperform many of the available open-source and closed chat models on common industry benchmarks.

A versatile 8-billion parameter model optimized for dialogue and text generation tasks.

A powerful 70-billion parameter model excelling in reasoning, coding, and broad language applications.

An updated version of the Phi-3-mini model.

An updated version of the Phi-3-vision model.

The smallest member of the Phi-3 family, optimized for both quality and low latency.

The same Phi-3-mini model, but with a larger context size for RAG or few-shot prompting.

A 7B parameter model that provides better quality than Phi-3-mini, focusing on high-quality, reasoning-dense data.

The same Phi-3-small model, but with a larger context size for RAG or few-shot prompting.