Audience
Software developers, AI engineers, coding-agent builders, researchers, legal and technical professionals, and enterprises that need a high-capability model for complex coding, knowledge work, and long-running agentic tasks
About Grok 4.7
Grok 4.7 is a frontier AI model from SpaceXSI designed for coding, professional knowledge work, and longer-running agentic tasks. The model uses a larger base architecture than Grok 4.6 and was trained with an extended reinforcement learning process focused on difficult tasks that can take many hours to complete. Grok 4.7 improves self-verification, long-context management, conversational performance, and general knowledge work while adding native understanding of the Grok Bot harness. It is designed for software engineering, terminal-based work, document creation, presentations, legal tasks, electrical engineering, clinical reasoning, and other professional workflows. The model also introduces a new safeguard stack focused on jailbreak resistance, risky cybersecurity requests, and other dual-use domains while preserving utility for legitimate work. Grok 4.7 is available through Grok Build, Cursor, the Grok API, third-party coding harnesses, model routers, and cloud platforms.
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Grok 4.7 Frequently Asked Questions
Q: What kinds of users and organization types does Grok 4.7 work with?
Q: What languages does Grok 4.7 support in their product?
Q: What kind of support options does Grok 4.7 offer?
Q: What other applications or services does Grok 4.7 integrate with?
Q: Does Grok 4.7 have an API?
Q: What type of training does Grok 4.7 provide?
Q: How much does Grok 4.7 cost?
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Grok 4.7 Verified User Reviews
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Probability You Would Recommend? 10 out of 10
"Frontier level AI" 5 out of 5 stars Posted 2026-09-21
Pros: The 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.
Cons: The 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.
Overall: Overall, 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.
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