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

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

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.

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

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

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

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

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

o3-mini includes the o1 features with significant cost-efficiencies for scenarios requiring high 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 R+ is a state-of-the-art RAG-optimized model designed to tackle enterprise-grade workloads.

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

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.

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.

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.