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Grok 4
10

About

Grok 4 is a versatile multimodal assistant built for complex problem solving. It understands text, images and voice, integrates real‑time data, and is particularly strong at multi‑step logical reasoning, mathematical proofs and code analysis. Because it supports extremely long contexts (up to 128k tokens in-app and 256k tokens via API), Grok 4 can review long documents, entire codebases, research papers, and extended conversations without losing thread. Practical users benefit from Grok 4 in several ways: developers get precise code reviews, debugging help and performance suggestions across many languages; researchers and analysts can ask for step‑by‑step mathematical derivations, experimental interpretation, or visual chart analysis; educators and students receive clear, explainable walkthroughs of difficult concepts. The model also provides up‑to‑date answers by integrating live information about current events, markets and social media trends. Grok 4 trades some generation speed for depth: it focuses on accuracy and thoughtful responses rather than instant replies. It includes voice interaction (a British‑accented assistant named Eve) and is built to handle multimodal inputs so you can combine text, images and audio in a single session. Access is available via xAI’s app for SuperGrok and Premium+ subscribers and through the xAI API. Use Grok 4 when you need reliable, high‑quality reasoning over long or complex inputs — for deep code reviews, advanced math and science work, research synthesis, or business intelligence that depends on current data. Its strengths are accuracy, long‑context understanding, and multimodal flexibility.

Percs

Multi-modal
Large context
High accuracy

Settings

Diversity control-  Top_p. Filters AI responses based on probability.
Lower values = top few likely responses,
Higher values = larger pool of options.
Response length-  The maximum number of tokens to generate in the output.
Temperature-  The temperature of the model. Higher values make the model more creative and lower values make it more focused.
Context length-  The maximum number of tokens to use as input for a model.