xAI

State-of-the-art reasoning model optimized for cost-efficient, high-quality chain-of-thought. Trained end-to-end with tool use and agentic search, it matches top-tier benchmarks like AIME, HMMT, and GPQA at 40% lower token use versus Grok 4. Features a huge 2M token context and native web/X browsing. Ideal for agentic workflows, research, code, logic, and complex multi-step tasks. Offers up to 98% cheaper reasoning versus previous models.

Grok 4 is xAI’s latest reasoning model, featuring a 256k context window and support for parallel tool calling, structured outputs, and both image and text inputs. Designed for high-throughput, complex reasoning tasks, with pricing that scales for large token requests.

A blazing fast variant for instant, cost-effective answers without reasoning traces. Built on the same Grok 4 Fast backbone for unified quality and efficiency, it excels at search, summarization, Q&A, and lightweight agent use. Delivers low latency, reduced token cost, and supports the 2M token context for long inputs. Perfect for rapid and scalable information workflows.

Grok Code Fast 1 is a speedy and economical reasoning model that excels at agentic coding. With reasoning traces visible in the response, developers can steer Grok Code for high-quality work flows.

Grok 3 is xAI’s flagship model, excelling at enterprise use cases such as data extraction, coding, and text summarization. Possesses deep domain knowledge in finance, healthcare, law, and science, and is optimized for high-accuracy, real-world applications.

Grok-2-Aurora is an autoregressive, mixture-of-experts model from xAI, trained on billions of text and image examples. It excels at photorealistic rendering, accurately following text instructions, and complex scene generation, leveraging deep world understanding built during training.

A lightweight, high-speed model from xAI, engineered for logic-based tasks that do not require deep domain knowledge. Grok-3-mini is optimized for rapid response and efficient reasoning, making it ideal for applications where speed and concise logic are prioritized over extensive context or specialized expertise. The model exposes raw thinking traces, providing transparency into its decision-making process and enabling advanced debugging or educational use cases.

xAI’s Grok 2 Vision 1212 is a next-generation vision-language model designed for advanced image-based AI applications. It features robust visual comprehension, refined instruction-following, and strong multilingual support. The model excels at object recognition, style analysis, and visual reasoning, empowering developers to build intuitive, visually aware applications. Enhanced steerability and reasoning capabilities make it a solid foundation for next-generation image solutions. For more details, see the official [xAI announcement](https://x.ai/blog/grok-1212).