xAI

Grok 4.5 is xAI's intelligent coding model for agentic software engineering and workflow tasks, with function calling, structured outputs, and a 500K-token context window.

Grok 4.20 is xAI's reasoning model built for speed and agentic tool calling, with low hallucination rates and strict prompt adherence. It takes text and image input and produces text output, with a 1M-token context window, function calling and structured outputs.

Grok 4.20 Multi-Agent is a variant of xAI Grok 4.20 designed for collaborative, agent-based workflows. Multiple agents operate in parallel to conduct deep research, coordinate tool use, and synthesize information across complex tasks.

Grok 4.3 is xAI's fast, reliable model with strong tool calling and instruction following, suited to agentic workflows. It takes text and image input and produces text output, with a 1M-token context window, function calling, structured outputs and reasoning effort from none to xhigh.

Grok 4.6 is xAI's model for coding, agentic tasks and knowledge work, designed for long, multi-step work such as research, codebase tasks and turning an idea into a working application. It takes text and image input and produces text output, with a 500K-token context window, function calling, structured outputs and low to xhigh reasoning effort.

Grok 4.7 is xAI's model for software engineering and professional knowledge work, especially long-running tasks. Compared with Grok 4.6 it uses a larger base model trained longer on harder tasks and checks its own output more carefully, and it takes text and image input with a 500K-token context window and low to xhigh reasoning effort.

xAI's fast coding model trained specifically for agentic coding, currently in early access.

Grok Text to Speech is xAI's text-to-speech model for long-form and real-time speech generation. It offers built-in voices with distinct styles, speaks 20 languages, and uses inline and wrapping speech tags such as [laugh], [pause] and <whisper> to control delivery.