Models Directory

ChatGPT-4o points to the GPT-4o snapshot currently used in ChatGPT. We recommend using an API model like GPT-5 or GPT-4o for most API integrations, but feel free to use this ChatGPT-4o model to test our latest improvements for chat use cases.

Claude 3 Opus

Claude 3.5 Sonnet

Claude 3.5 Sonnet v2

GPT Image 1 is our new state-of-the-art image generation model. It is a natively multimodal language model that accepts both text and image inputs, and produces image outputs.

GPT-4 is an older version of a high-intelligence GPT model, usable in Chat Completions.

GPT-4 Turbo is the next generation of GPT-4, an older high-intelligence GPT model. It was designed to be a cheaper, better version of GPT-4. Today, we recommend using a newer model like GPT-4o.

This is a research preview of the GPT-4 Turbo model, an older high-intelligence GPT model.

Deprecated - a research preview of GPT-4.5. We recommend using gpt-4.1 or o3 models instead for most use cases.

This is a preview release of the GPT-4o Realtime model, capable of responding to audio and text inputs in realtime over WebRTC or a WebSocket interface.

GPT-5 pro uses more compute to think harder and provide consistently better answers.

Our flagship model that excels at enterprise use cases like data extraction, coding, and text summarization. Possesses deep domain knowledge in finance, healthcare, law, and science.

AI model grok-3-fast-beta from xAI.

An advanced search model designed for complex queries, delivering deeper content understanding with enhanced citation accuracy.Legacy Pricing (Default if no search mode is specified)New Pricing with Search Modes Explicit API call with search_context_size required to use new pricing.

This is our first general-availability realtime model, capable of responding to audio and text inputs in realtime over WebRTC, WebSocket, or SIP connections.

The o1 series of models are trained with reinforcement learning to perform complex reasoning. o1 models think before they answer, producing a long internal chain of thought before responding to the user.

Research preview of the o1 series of models, trained with reinforcement learning to perform complex reasoning. o1 models think before they answer, producing a long internal chain of thought before responding to the user.

The o1 series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o1-pro model uses more compute to think harder and provide consistently better answers.

o3-deep-research is our most advanced model for deep research, designed to tackle complex, multi-step research tasks. It can search and synthesize information from across the internet as well as from your own data—brought in through MCP connectors.

The o-series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o3-pro model uses more compute to think harder and provide consistently better answers.