Amazon Web Services (AWS) announced on September 28, 2026, the availability of xAI's Grok 4.7 model on Amazon Bedrock. This new frontier model is designed for advanced generative AI applications, particularly excelling in coding, long-running agents, and complex knowledge work. Grok 4.7 offers a 500,000 token context window and supports configurable reasoning effort across four levels: low, medium, high, and xhigh.
The introduction of Grok 4.7 on Bedrock provides developers with an upgraded tool for building more robust and safer AI applications. According to xAI, Grok 4.7 is their most capable model for coding and knowledge work, distinguished by its ability to "work longer on difficult tasks and verify its own output more carefully before moving on." This release builds upon the capabilities of previous versions, Grok 4.6 and Grok 4.3, offering enhanced self-verification and improved context management within the managed infrastructure of Amazon Bedrock.
Grok 4.7's 'Endurance' and 'Self-Checking' for Advanced AI Tasks
Grok 4.7 introduces significant advancements in how large language models handle complex and extended tasks, primarily through its enhanced "endurance" and "self-checking" capabilities. Endurance refers to the model's improved ability to manage longer contexts and persist through multi-step problems, while self-checking involves more rigorous internal verification of its own outputs before proceeding.
These improvements stem from Grok 4.7's training on a new, larger base model compared to Grok 4.6, coupled with a longer reinforcement learning run focused on a harder mix of tasks, including those that require many hours to complete. For developers, this translates into practical benefits for demanding applications such as intricate coding projects, where the model can produce stronger first passes and iterate more effectively. Independent evaluations by Artificial Analysis indicate that Grok 4.7 shows improvements across its evaluation suite, with the most substantial gains observed in long-horizon agentic knowledge work and coding agents.
On benchmarks like CursorBench 4.0, which specifically tests longer-running coding tasks, Grok 4.7 demonstrates frontier-level performance in price-performance. Furthermore, in professional knowledge-work benchmarks such as GDPval, Grok 4.7 (at xhigh effort) scored 1,695, surpassing Grok 4.6 (high) at 1,605, highlighting its enhanced reasoning and knowledge capabilities for complex problem-solving.
Beyond performance, Grok 4.7 incorporates an entirely new safeguard stack, which xAI reports makes it their strongest model tested for refusals and resistance to jailbreaks. This focus on safety is particularly relevant for dual-use domains like cybersecurity, where the model aims to remain useful for legitimate tasks while effectively refusing dangerous ones. xAI notes that Grok 4.7 allows only a small fraction of risky dual-use prompts while rarely blocking legitimate security work.










