Text-embedding-3 series models are the latest and most capable embedding model from OpenAI.

Text-embedding-3 series models are the latest and most capable embedding model from OpenAI.

o3-mini includes the o1 features with significant cost-efficiencies for scenarios requiring high performance.

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

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.

3.8B parameters Small Language Model outperforming larger models in reasoning, math, coding, and function-calling

o3 includes significant improvements on quality and safety while supporting the existing features of o1 and delivering comparable or better performance.

o4-mini includes significant improvements on quality and safety while supporting the existing features of o3-mini and delivering comparable or better performance.

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

Command A is a highly efficient generative model that excels at agentic and multilingual use cases.

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

OpenAI's most advanced multimodal model in the gpt-4o family. Can handle both text and image inputs.

DeepSeek-R1 excels at reasoning tasks using a step-by-step training process, such as language, scientific reasoning, and coding tasks.

The DeepSeek R1 0528 model has improved reasoning capabilities, this version also offers a reduced hallucination rate, enhanced support for function calling, and better experience for vibe coding.

Excels in image reasoning capabilities on high-res images for visual understanding apps.

Advanced image reasoning capabilities for visual understanding agentic apps.

Llama 4 Maverick 17B 128E Instruct FP8 is great at precise image understanding and creative writing, offering high quality at a lower price compared to Llama 3.3 70B

Llama 4 Scout 17B 16E Instruct is great at multi-document summarization, parsing extensive user activity for personalized tasks, and reasoning over vast codebases.

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.

Codestral 25.01 by Mistral AI is designed for code generation, supporting 80+ programming languages, and optimized for tasks like code completion and fill-in-the-middle