Lightweight math reasoning model optimized for multi-step problem solving

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

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

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

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

gpt-5-nano is optimized for speed, ideal for applications requiring low latency.

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

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

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.

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

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

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.

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

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