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

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.

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

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

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

Llama 3.3 70B Instruct offers enhanced reasoning, math, and instruction following with performance comparable to Llama 3.1 405B.

Enhanced Mistral Small 3 with multimodal capabilities and a 128k context length.

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

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

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

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

gpt-5-mini is a lightweight version for cost-sensitive applications.

gpt-5-chat (preview) is an advanced, natural, multimodal, and context-aware conversations for enterprise applications.

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

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

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

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

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.