What is Grok 4.7?
Grok 4.7 is a frontier artificial intelligence model from SpaceXAI built for demanding coding, knowledge work, and long-running agent workflows. The model uses a larger base architecture than Grok 4.6 and was trained with an extended reinforcement learning process focused on more difficult and longer-duration tasks. Its training emphasizes problems that may require hours of work, making it suitable for workflows that involve planning, execution, verification, and repeated tool use. Grok 4.7 improves self-checking behavior and long-context management so it can maintain task state more effectively across complex operations. The model also natively understands the Grok Bot harness, which improves conversational performance and general knowledge capabilities. Its use cases include software engineering, terminal tasks, document and presentation creation, legal analysis, electrical engineering, clinical reasoning, and other professional knowledge work. SpaceXAI reports benchmark gains over Grok 4.6 across coding, terminal, engineering, legal, and multi-hour office-task evaluations. Grok 4.7 includes a newly developed safeguard stack designed to strengthen jailbreak resistance and improve handling of risky cybersecurity, biological, and other dual-use requests. The company states that the model is designed to maintain strong utility for legitimate cybersecurity and research tasks while refusing more dangerous requests. Grok 4.7 is available through Grok Build, Cursor, the Grok API, coding harnesses, model routers, and supported cloud platforms, with a faster serving option also available. Pricing starts at $2 per million input tokens and $6 per million output tokens, positioning the model for developers and organizations running high-volume coding and professional AI workloads.
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Grok 4.7 Customer Reviews
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Frontier level AI
Date: Sep 21 2026SummaryOverall, Grok 4.7 has become one of the more compelling models for serious coding and long-running agent work. It feels noticeably better at staying organized, checking its work, and finishing complex tasks without needing as much hand-holding.
PositiveThe biggest improvement is how much better it is at sticking with longer tasks. It feels more deliberate than earlier Grok versions, especially when I am working through debugging, repo-level changes, or something that takes multiple rounds of planning and verification. The coding performance is strong too. xAI reports 46.3% on CursorBench 4.0 versus 40.4% for Grok 4.6, and Terminal-Bench 4.0 jumps from 20.3% to 38.0%. That is the kind of improvement that actually matters for agentic coding rather than just short code-generation prompts. I also like the pricing. At $2 per million input tokens and $6 per million output tokens, it is much easier to justify for daily agent workflows than some of the more expensive frontier models.
NegativeThe downside is that the higher reasoning modes can use a lot of tokens, so I would not automatically run xhigh on every task. For quick edits or simple coding questions, a faster model can still make more sense.
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