GPT-5.1 is our flagship model for coding and agentic tasks with configurable reasoning and non-reasoning effort. Learn more in our GPT-5.1 usage guide.

Fastest, most cost-efficient version of GPT-5

Fastest, most cost-efficient version of GPT-5

Version of GPT-5 that produces smarter and more precise responses

GPT-5 is our flagship model for coding, reasoning, and agentic tasks across domains.

Most powerful open-weight model, fits into an H100 GPU.

Our most powerful deep research model.

Faster, more affordable deep research model.

Flagship GPT model for complex tasks GPT-4.1 is our flagship model for complex tasks. It is well suited for problem solving across domains.

Fast, intelligent, flexible GPT model GPT-4o (“o” for “omni”) is our versatile, high-intelligence flagship model. It accepts both text and image inputs, and produces text outputs (including Structured Outputs). It is the best model for most tasks, and is our most capable model outside of our o-series models.

Faster, more affordable reasoning model o4-mini is our latest small o-series model. It's optimized for fast, effective reasoning with exceptionally efficient performance in coding and visual tasks.

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.

Our newest model, Claude Opus 4.5, is available today. It's intelligent, efficient, and the best model in the world for coding, agents, and computer use. It's also meaningfully better at everyday tasks like deep research and working with slides and spreadsheets. Opus 4.5 is a step forward in what AI systems can do, and a preview of larger changes to how work gets done. Claude Opus 4.5 is state-of-the-art on tests of real-world software engineering

Sonnet 4.5 is the best model in the world for agents, coding, and computer use. It’s also our most accurate and detailed model for long-running tasks, with enhanced domain knowledge in coding, finance, and cybersecurity.

General-purpose language model Reasoning, QA, and creative writing.

Research-focused or specialized release Think before responding to solve reasoning problems.

Gemini 2.5 Pro is our most advanced model yet, excelling at coding and complex prompts.

Our powerful and most efficient workhorse model designed for speed and low-cost.

Our fastest and most cost-efficient multimodal model with great performance for high-frequency tasks

Pushing the Frontier of Cost-Efficient Intelligence

The flagship model, offering advanced reasoning, conversational capabilities, synthesis, and a large 256,000 token context window. There is also a high-performance, multi-agent variant, Grok 4 Heavy, which requires a SuperGrok Heavy subscription.

Our latest image generation model that can generate vivid, realistic images based on a text prompt. Excels at generating images for marketing, social media, and entertainment.

A lightweight model that thinks before responding. Fast, smart, and great for logic-based tasks that do not require deep domain knowledge. The raw thinking traces are accessible.

Excels at enterprise use cases like data extraction, coding, and text summarization. Possesses deep domain knowledge in finance, healthcare, law, and science.

Our multimodal model that processes documents, diagrams, charts, screenshots, and photographs.

Grok is an AI chatbot developed by xAI, known for its humor and access to real-time information through the X (formerly Twitter) platform. It's designed to be both informative and entertaining, with a focus on providing truthful and curious responses. Grok is integrated with X and also has dedicated iOS and Android apps

The best-performing model in the Qwen series, suitable for complex, multi-step tasks.

Large document embeddings Handles long-form documents well; low-cost vector representation.

Large document embeddings Handles long-form documents well; low-cost vector representation.

Large document embeddings Handles long-form documents well; low-cost vector representation.

Large document embeddings Handles long-form documents well; low-cost vector representation.

Large document embeddings Handles long-form documents well; low-cost vector representation.

This embedding model has consistently held a top spot on the Massive Text Embedding Benchmark (MTEB) Multilingual leaderboard since the experimental launch in March.

This embedding model has consistently held a top spot on the Massive Text Embedding Benchmark (MTEB) Multilingual leaderboard since the experimental launch in March.