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.

Focused on advanced reasoning and solving complex problems, including math and science tasks. Ideal for applications that require deep contextual understanding and agentic workflows.

Smaller, faster, and 80% cheaper than o1-preview, performs well at code generation and small context operations.

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

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

A 398B parameters (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 enterprise.

DeepSeek-V3-0324 demonstrates notable improvements over its predecessor, DeepSeek-V3, in several key aspects, including enhanced reasoning, improved function calling, and superior code generation capabilities.

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.

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

Ministral 3B is a state-of-the-art Small Language Model (SLM) optimized for edge computing and on-device applications. As it is designed for low-latency and compute-efficient inference, it it also the perfect model for standard GenAI applications that have

gpt-4.1-nano provides gains in coding, instruction following, and long-context handling along with lower latency and cost

An affordable, efficient AI solution for diverse text and image tasks.

gpt-5 is designed for logic-heavy and multi-step tasks.

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