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

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.

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

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

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

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

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

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

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

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.

Advanced image reasoning capabilities for visual understanding agentic apps.

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

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