Excels in reasoning, multimodal fusion, and collaborative problem-solving
Grok 4 is the latest generation of xAI’s large language models, built upon the same architecture as Grok 3 but trained with 10x more compute for reasoning tasks. The model features a 256,000-token context window and was trained with reinforcement learning that integrates native tool use. While multimodal capabilities are minimal in this release, Grok 4 dominates text-based benchmarks and is designed to scale with future toolchains.
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Support for long-range context and accurate function generation allows Grok 4 to assist with multi-file edits and detailed code walkthroughs.
Grok 4’s large context and deterministic instruction-following make it useful for document review, regulation comparison, and compliance workflows.
Grok 4 can reason through complex data, generate hypotheses, and summarize research across thousands of tokens — making it ideal for technical domains.
Grok 4 surpasses competitors in mathematical and logic-heavy tasks, while offering longer context and deeper integration with tools.
GPT‑4o excels in multimodal performance, supporting vision, audio, and real-time browsing. However, on advanced reasoning tasks, Grok 4 sets new benchmarks: it scores 76.9% on AIME 2025, significantly above GPT‑4o’s known performance. Grok 4 also leads in ARC-AGI-2, achieving 15.9%.
Learn more about GPT-4o API.
Both models share the same architecture base, but Grok 4 benefits from 10× more compute on reasoning during RL. Grok 4 doubles the context window to 256K tokens, and introduces native tool use training during RL. In terms of output quality and technical depth, Grok 4 is a substantial upgrade.
Learn more about Grok 3.
On Humanity’s Last Exam, Grok 4 achieves 25.4% without tools and up to 44.4% with tool use, compared to Gemini 2.5 Pro’s 21.6% (no tools). Even in its default setting, Grok 4 leads on multi-step reasoning and instruction-following accuracy.
Learn more about Gemini 2.5 Pro API.
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While we’re adding Grok 4, you can check out our other models and try them in AI Playground.